From 365dc9a3b5fe7b622555ded21b76026cc49d0c50 Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Sun, 20 Sep 2026 05:14:15 +0000
Subject: [PATCH 1/7] feat(fal_ai): add gpt-image-2.5 flare/sunburst, flux/dev
 and image edits

Route openai/gpt-image-2.5/{flare,sunburst}/text-to-image through the existing GPT Image config with the xhigh and max quality tiers, add a dedicated fal-ai/flux/dev config, and add a Fal image-edit config so /v1/images/edits works for the gpt-image-2.5 and gpt-image-2 edit endpoints. Add flat and quality-by-size keyed pricing rows so spend is non-zero

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/llms/fal_ai/cost_calculator.py        |    8 +-
 litellm/llms/fal_ai/image_edit/__init__.py    |    3 +
 .../llms/fal_ai/image_edit/transformation.py  |  165 ++
 .../llms/fal_ai/image_generation/__init__.py  |    4 +
 .../flux_dev_transformation.py                |   12 +
 .../gpt_image_2_transformation.py             |   53 +-
 .../fal_ai/image_generation/transformation.py |   33 +-
 ...odel_prices_and_context_window_backup.json | 1326 +++++++++++++++++
 litellm/utils.py                              |    4 +
 model_prices_and_context_window.json          | 1326 +++++++++++++++++
 .../test_fal_ai_image_edit_transformation.py  |  106 ++
 .../test_fal_ai_flux_dev_transformation.py    |   61 +
 .../test_fal_ai_gpt_image_2_transformation.py |   33 +
 .../llms/fal_ai/test_cost_calculator.py       |   71 +
 14 files changed, 3159 insertions(+), 46 deletions(-)
 create mode 100644 litellm/llms/fal_ai/image_edit/__init__.py
 create mode 100644 litellm/llms/fal_ai/image_edit/transformation.py
 create mode 100644 litellm/llms/fal_ai/image_generation/flux_dev_transformation.py
 create mode 100644 tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py
 create mode 100644 tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_flux_dev_transformation.py

diff --git a/litellm/llms/fal_ai/cost_calculator.py b/litellm/llms/fal_ai/cost_calculator.py
index 74848784c5b..f23bd1b46bc 100644
--- a/litellm/llms/fal_ai/cost_calculator.py
+++ b/litellm/llms/fal_ai/cost_calculator.py
@@ -19,10 +19,10 @@ FAL_NAMED_IMAGE_SIZES: Final[Mapping[str, str]] = MappingProxyType(
 )
 
 
-def _keyed_size(model: str, optional_params: Mapping[str, object]) -> str | None:
+def _keyed_size(optional_params: Mapping[str, object]) -> str | None:
     image_size: Final = optional_params.get("image_size")
-    if image_size is None:
-        return None if model.endswith("/edit") else FAL_TEXT_TO_IMAGE_DEFAULT_SIZE
+    if image_size is None or image_size == "auto":
+        return FAL_TEXT_TO_IMAGE_DEFAULT_SIZE
     if isinstance(image_size, Mapping):
         width: Final = image_size.get("width")
         height: Final = image_size.get("height")
@@ -37,7 +37,7 @@ def _keyed_size(model: str, optional_params: Mapping[str, object]) -> str | None
 def _keyed_cost_per_image(model: str, optional_params: Mapping[str, object] | None) -> float | None:
     if optional_params is None:
         return None
-    size: Final = _keyed_size(model=model, optional_params=optional_params)
+    size: Final = _keyed_size(optional_params)
     if size is None:
         return None
     raw_quality: Final = optional_params.get("quality")
diff --git a/litellm/llms/fal_ai/image_edit/__init__.py b/litellm/llms/fal_ai/image_edit/__init__.py
new file mode 100644
index 00000000000..c2f0f311f8c
--- /dev/null
+++ b/litellm/llms/fal_ai/image_edit/__init__.py
@@ -0,0 +1,3 @@
+from .transformation import FalAIImageEditConfig
+
+__all__ = ("FalAIImageEditConfig",)
diff --git a/litellm/llms/fal_ai/image_edit/transformation.py b/litellm/llms/fal_ai/image_edit/transformation.py
new file mode 100644
index 00000000000..f0bb2820d7e
--- /dev/null
+++ b/litellm/llms/fal_ai/image_edit/transformation.py
@@ -0,0 +1,165 @@
+import base64
+from collections.abc import Mapping
+from io import BufferedReader, BytesIO
+from types import MappingProxyType
+from typing import TYPE_CHECKING, Final
+
+import httpx
+from httpx._types import RequestFiles
+
+from litellm.images.utils import ImageEditRequestUtils
+from litellm.llms.base_llm.image_edit.transformation import BaseImageEditConfig
+from litellm.llms.fal_ai.image_generation.gpt_image_2_transformation import (
+    map_gpt_image_quality,
+    map_gpt_image_size,
+)
+from litellm.llms.fal_ai.image_generation.transformation import fal_images_to_image_objects
+from litellm.secret_managers.main import get_secret_str
+from litellm.types.images.main import ImageEditOptionalRequestParams
+from litellm.types.router import GenericLiteLLMParams
+from litellm.types.utils import FileTypes, ImageResponse
+
+if TYPE_CHECKING:
+    from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLoggingObj
+
+DEFAULT_BASE_URL: Final[str] = "https://fal.run"
+EDIT_SUFFIX: Final[str] = "/edit"
+SUPPORTED_OPENAI_PARAMS: Final[tuple[str, ...]] = ("background", "mask", "n", "quality", "size")
+PARAM_TRANSLATION: Final[Mapping[str, str]] = MappingProxyType(
+    {
+        "background": "background",
+        "n": "num_images",
+        "quality": "quality",
+        "size": "image_size",
+    }
+)
+
+
+def _read_image_bytes(image: object) -> bytes:
+    if isinstance(image, bytes):
+        return image
+    if isinstance(image, (BytesIO, BufferedReader)):
+        position: Final = image.tell()
+        image.seek(0)
+        data: Final = image.read()
+        image.seek(position)
+        return data
+    raise ValueError(f"Unsupported image type for Fal AI image edit: {type(image).__name__}")
+
+
+def _to_data_url(image: object) -> str:
+    if isinstance(image, str):
+        return image
+    image_bytes: Final = _read_image_bytes(image)
+    mime_type: Final = ImageEditRequestUtils.get_image_content_type(image_bytes)
+    return f"data:{mime_type};base64,{base64.b64encode(image_bytes).decode('utf-8')}"
+
+
+def _first(value: object) -> object:
+    return value[0] if isinstance(value, list) and value else value
+
+
+class FalAIImageEditConfig(BaseImageEditConfig):
+    """
+    Image edits served through Fal AI's ``/edit`` endpoints, e.g. openai/gpt-image-2.5/flare/edit.
+
+    Fal expects a JSON body with ``image_urls`` (and an optional ``mask_url``) rather than multipart
+    uploads, so local files are sent inline as base64 data URLs.
+    """
+
+    def get_supported_openai_params(self, model: str) -> list:  # mutable-ok: base class contract returns a list
+        return list(SUPPORTED_OPENAI_PARAMS)  # mutable-ok: base class contract returns a list
+
+    def map_openai_params(  # mutable-ok: base class contract returns a dict
+        self,
+        image_edit_optional_params: ImageEditOptionalRequestParams,
+        model: str,
+        drop_params: bool,
+    ) -> dict:
+        return {  # mutable-ok: base class contract returns a dict
+            PARAM_TRANSLATION.get(key, key): self._translate_value(key, value, model)
+            for key, value in image_edit_optional_params.items()
+            if value is not None
+        }
+
+    def _translate_value(self, key: str, value: object, model: str) -> object:
+        if key == "size":
+            return map_gpt_image_size(value)
+        if key == "quality":
+            return map_gpt_image_quality(value, model)
+        return value
+
+    def validate_environment(
+        self,
+        headers: dict,
+        model: str,
+        api_key: str | None = None,
+        litellm_params: dict | None = None,
+        api_base: str | None = None,
+    ) -> dict:
+        final_api_key: Final = api_key or get_secret_str("FAL_AI_API_KEY")
+        if not final_api_key:
+            raise ValueError("FAL_AI_API_KEY is not set")
+        return {**headers, "Authorization": f"Key {final_api_key}"}  # mutable-ok: base class contract returns a dict
+
+    def use_multipart_form_data(self) -> bool:
+        return False
+
+    def get_complete_url(
+        self,
+        model: str,
+        api_base: str | None,
+        litellm_params: dict,
+    ) -> str:
+        base_url: Final = (api_base or get_secret_str("FAL_AI_API_BASE") or DEFAULT_BASE_URL).rstrip("/")
+        endpoint: Final = model if model.endswith(EDIT_SUFFIX) else f"{model}{EDIT_SUFFIX}"
+        return f"{base_url}/{endpoint}"
+
+    def transform_image_edit_request(
+        self,
+        model: str,
+        prompt: str | None,
+        image: FileTypes | None,
+        image_edit_optional_request_params: dict,
+        litellm_params: GenericLiteLLMParams,
+        headers: dict,
+    ) -> tuple[dict, RequestFiles]:
+        if image is None:
+            raise ValueError("Fal AI image edit requires at least one input image")
+        images: Final = tuple(image) if isinstance(image, list) else (image,)
+        mask: Final = _first(image_edit_optional_request_params.get("mask"))
+        mask_field: Final[Mapping[str, str]] = (
+            MappingProxyType({"mask_url": _to_data_url(mask)}) if mask is not None else MappingProxyType({})
+        )
+        provider_params: Final[Mapping[str, object]] = MappingProxyType(
+            {
+                key: value for key, value in image_edit_optional_request_params.items() if key != "mask"
+            }  # mutable-ok: frozen by MappingProxyType
+        )
+        request_body: Final[dict[str, object]] = {  # mutable-ok: base class contract returns a dict
+            "prompt": prompt,
+            "image_urls": tuple(_to_data_url(img) for img in images if img is not None),
+            **mask_field,
+            **provider_params,
+        }
+        return request_body, ()
+
+    def transform_image_edit_response(
+        self,
+        model: str,
+        raw_response: httpx.Response,
+        logging_obj: "LiteLLMLoggingObj",
+    ) -> ImageResponse:
+        try:
+            response_json: Final = raw_response.json()
+        except Exception as e:
+            raise self.get_error_class(
+                error_message=f"Error parsing Fal AI image edit response: {e}",
+                status_code=raw_response.status_code,
+                headers=raw_response.headers,
+            )
+        model_response: Final = ImageResponse()
+        model_response.data = list(  # mutable-ok: ImageResponse.data is typed as a list
+            fal_images_to_image_objects(response_json.get("images", ()))
+        )
+        return model_response
diff --git a/litellm/llms/fal_ai/image_generation/__init__.py b/litellm/llms/fal_ai/image_generation/__init__.py
index 2b305c8f234..cdd491cd300 100644
--- a/litellm/llms/fal_ai/image_generation/__init__.py
+++ b/litellm/llms/fal_ai/image_generation/__init__.py
@@ -9,6 +9,7 @@ from .bytedance_transformation import (
     FalAIBytedanceDreaminaV31Config,
     FalAIBytedanceSeedreamV3Config,
 )
+from .flux_dev_transformation import FalAIFluxDevConfig
 from .flux_pro_v11_transformation import FalAIFluxProV11Config
 from .flux_pro_v11_ultra_transformation import FalAIFluxProV11UltraConfig
 from .flux_schnell_transformation import FalAIFluxSchnellConfig
@@ -25,6 +26,7 @@ __all__ = [
     "FalAIBriaConfig",
     "FalAIBytedanceDreaminaV31Config",
     "FalAIBytedanceSeedreamV3Config",
+    "FalAIFluxDevConfig",
     "FalAIFluxProV11Config",
     "FalAIFluxProV11UltraConfig",
     "FalAIFluxSchnellConfig",
@@ -65,6 +67,8 @@ def get_fal_ai_image_generation_config(model: str) -> BaseImageGenerationConfig:
         if "ultra" in model_lower:
             return FalAIFluxProV11UltraConfig()
         return FalAIFluxProV11Config()
+    elif "flux/dev" in model_lower or "flux-dev" in model_lower:
+        return FalAIFluxDevConfig()
     elif "flux/schnell" in model_lower or "flux-schnell" in model_lower or "schnell" in model_lower:
         return FalAIFluxSchnellConfig()
     elif "bytedance/seedream" in model_lower:
diff --git a/litellm/llms/fal_ai/image_generation/flux_dev_transformation.py b/litellm/llms/fal_ai/image_generation/flux_dev_transformation.py
new file mode 100644
index 00000000000..f9976d519e4
--- /dev/null
+++ b/litellm/llms/fal_ai/image_generation/flux_dev_transformation.py
@@ -0,0 +1,12 @@
+from .flux_schnell_transformation import FalAIFluxSchnellConfig
+
+
+class FalAIFluxDevConfig(FalAIFluxSchnellConfig):
+    """
+    Configuration for Fal AI Flux Dev model.
+
+    Model endpoint: fal-ai/flux/dev
+    Documentation: https://fal.ai/models/fal-ai/flux/dev
+    """
+
+    IMAGE_GENERATION_ENDPOINT: str = "fal-ai/flux/dev"
diff --git a/litellm/llms/fal_ai/image_generation/gpt_image_2_transformation.py b/litellm/llms/fal_ai/image_generation/gpt_image_2_transformation.py
index b91ae8ce2b0..ce016b350d8 100644
--- a/litellm/llms/fal_ai/image_generation/gpt_image_2_transformation.py
+++ b/litellm/llms/fal_ai/image_generation/gpt_image_2_transformation.py
@@ -22,6 +22,32 @@ SUPPORTED_OPENAI_PARAMS: Final[tuple[OpenAIImageGenerationOptionalParams, ...]]
     "response_format",
     "size",
 )
+SUPPORTED_QUALITIES: Final[frozenset[str]] = frozenset({"auto", "low", "medium", "high"})
+GPT_IMAGE_25_QUALITIES: Final[frozenset[str]] = SUPPORTED_QUALITIES | frozenset(("xhigh", "max"))
+GPT_IMAGE_25_MARKER: Final[str] = "gpt-image-2.5"
+OPENAI_QUALITY_ALIASES: Final[Mapping[str, str]] = MappingProxyType({"hd": "high", "standard": "medium"})
+
+
+def map_gpt_image_size(size: object) -> object:
+    if not isinstance(size, str) or size == "auto":
+        return size
+    try:
+        width, height = (int(part) for part in size.lower().split("x"))
+    except ValueError:
+        return size
+    image_size: Final[FalAIImageSize] = {"width": width, "height": height}
+    return image_size
+
+
+def supported_gpt_image_qualities(model: str) -> frozenset[str]:
+    return GPT_IMAGE_25_QUALITIES if GPT_IMAGE_25_MARKER in model.lower() else SUPPORTED_QUALITIES
+
+
+def map_gpt_image_quality(quality: object, model: str) -> object:
+    if not isinstance(quality, str):
+        return quality
+    normalized: Final[str] = OPENAI_QUALITY_ALIASES.get(quality, quality)
+    return normalized if normalized in supported_gpt_image_qualities(model) else "auto"
 
 
 class FalAIGPTImage2Config(FalAIBaseConfig):
@@ -31,13 +57,12 @@ class FalAIGPTImage2Config(FalAIBaseConfig):
     Model endpoints:
     - openai/gpt-image-2 (text-to-image)
     - openai/gpt-image-2/edit (editing, with optional mask)
+    - openai/gpt-image-2.5/flare/text-to-image, openai/gpt-image-2.5/sunburst/text-to-image
 
     Documentation: https://fal.ai/models/openai/gpt-image-2/api
     """
 
     MODEL_PREFIX: Final[str] = "openai/"
-    SUPPORTED_QUALITIES: Final[frozenset[str]] = frozenset({"auto", "low", "medium", "high"})
-    OPENAI_QUALITY_ALIASES: Final[Mapping[str, str]] = MappingProxyType({"hd": "high", "standard": "medium"})
     PARAM_TRANSLATION: Final[Mapping[str, str]] = MappingProxyType(
         {
             "n": "num_images",
@@ -83,36 +108,20 @@ class FalAIGPTImage2Config(FalAIBaseConfig):
             )
         translated_params: Final[Mapping[str, object]] = MappingProxyType(
             {
-                self.PARAM_TRANSLATION[key]: self._translate_value(key, value)
+                self.PARAM_TRANSLATION[key]: self._translate_value(key, value, model)
                 for key, value in non_default_params.items()
                 if key in self.PARAM_TRANSLATION and self.PARAM_TRANSLATION[key] not in optional_params
             }
         )
         return {**optional_params, **translated_params}  # mutable-ok: base class contract returns a dict
 
-    def _translate_value(self, key: str, value: object) -> object:
+    def _translate_value(self, key: str, value: object, model: str) -> object:
         if key == "size":
-            return self._map_image_size(value)
+            return map_gpt_image_size(value)
         if key == "quality":
-            return self._map_quality(value)
+            return map_gpt_image_quality(value, model)
         return value
 
-    def _map_image_size(self, size: object) -> object:
-        if not isinstance(size, str) or size == "auto":
-            return size
-        try:
-            width, height = (int(part) for part in size.lower().split("x"))
-        except ValueError:
-            return size
-        image_size: Final[FalAIImageSize] = {"width": width, "height": height}
-        return image_size
-
-    def _map_quality(self, quality: object) -> object:
-        if not isinstance(quality, str):
-            return quality
-        normalized: Final[str] = self.OPENAI_QUALITY_ALIASES.get(quality, quality)
-        return normalized if normalized in self.SUPPORTED_QUALITIES else "auto"
-
     def transform_image_generation_request(  # mutable-ok: base class contract returns a dict
         self,
         model: str,
diff --git a/litellm/llms/fal_ai/image_generation/transformation.py b/litellm/llms/fal_ai/image_generation/transformation.py
index 7a114677b2d..7f6a417e8a1 100644
--- a/litellm/llms/fal_ai/image_generation/transformation.py
+++ b/litellm/llms/fal_ai/image_generation/transformation.py
@@ -22,6 +22,18 @@ else:
     LiteLLMLoggingObj = Any
 
 
+def fal_images_to_image_objects(images: object) -> tuple[ImageObject, ...]:
+    if not isinstance(images, list):
+        return ()
+    return tuple(
+        ImageObject(url=image_data.get("url", None), b64_json=image_data.get("b64_json", None))
+        if isinstance(image_data, dict)
+        else ImageObject(url=image_data, b64_json=None)
+        for image_data in images
+        if isinstance(image_data, (dict, str))
+    )
+
+
 class FalAIBaseConfig(BaseImageGenerationConfig):
     """
     Base configuration for Fal AI image generation models.
@@ -96,26 +108,7 @@ class FalAIBaseConfig(BaseImageGenerationConfig):
         if not model_response.data:
             model_response.data = []
 
-        # Handle fal.ai response format
-        images: Final = response_data.get("images", [])
-        if isinstance(images, list):
-            for image_data in images:
-                if isinstance(image_data, dict):
-                    model_response.data.append(
-                        ImageObject(
-                            url=image_data.get("url", None),
-                            b64_json=image_data.get("b64_json", None),
-                        )
-                    )
-                elif isinstance(image_data, str):
-                    # If images is just a list of URLs
-                    model_response.data.append(
-                        ImageObject(
-                            url=image_data,
-                            b64_json=None,
-                        )
-                    )
-
+        model_response.data.extend(fal_images_to_image_objects(response_data.get("images", ())))
         return model_response
 
 
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 6f8db4d2215..76839e3cec3 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -23444,6 +23444,1332 @@
         ],
         "supports_vision": true
     },
+    "fal_ai/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "metadata": {
+            "notes": "OpenAI gpt-image-2.5 (flare) served through fal.ai. fal publishes deterministic per-image prices per size and quality, mirrored as keyed entries fal_ai/{quality}/{width}-x-{height}/openai/gpt-image-2.5/flare/text-to-image that the fal_ai cost calculator picks from the request params. This flat entry is the fallback for the default request (quality=high, image_size=landscape_4_3 at 1024x768). quality=auto is priced as high"
+        },
+        "mode": "image_generation",
+        "output_cost_per_image": 0.03612,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/low/1024-x-768/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.00402,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/low/1024-x-1024/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.00588,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/low/1024-x-1536/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.00474,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/low/1920-x-1080/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.00441,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/low/2560-x-1440/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.00615,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/low/3840-x-2160/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.01113,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
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+    "fal_ai/medium/1024-x-1024/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.01317,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/medium/1024-x-1536/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.01029,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/medium/1920-x-1080/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.01029,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/medium/2560-x-1440/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.01434,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/medium/3840-x-2160/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.02595,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/high/1024-x-768/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.03612,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/high/1024-x-1024/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.05268,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/high/1024-x-1536/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.04116,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/high/1920-x-1080/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.0396,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/high/2560-x-1440/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.05529,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/high/3840-x-2160/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.10008,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/xhigh/1024-x-768/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.0642,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/xhigh/1024-x-1024/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.09366,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/xhigh/1024-x-1536/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.07377,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/xhigh/1920-x-1080/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.07041,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/xhigh/2560-x-1440/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.09828,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/xhigh/3840-x-2160/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.1779,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/max/1024-x-768/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.14445,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/max/1024-x-1024/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.21072,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/max/1024-x-1536/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.16464,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/max/1920-x-1080/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.1584,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/max/2560-x-1440/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.2211,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/max/3840-x-2160/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.40026,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/fal-ai/flux/dev": {
+        "litellm_provider": "fal_ai",
+        "metadata": {
+            "notes": "fal bills FLUX.1 [dev] at $0.025 per megapixel, rounding each image up to the nearest megapixel. Every named fal image_size (including the landscape_4_3 default) rounds up to 1 megapixel, so this flat per-image price is exact for them"
+        },
+        "mode": "image_generation",
+        "output_cost_per_image": 0.025,
+        "source": "https://fal.ai/models/fal-ai/flux/dev",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ]
+    },
     "featherless_ai/featherless-ai/Qwerky-72B": {
         "litellm_provider": "featherless_ai",
         "max_input_tokens": 32768,
diff --git a/litellm/utils.py b/litellm/utils.py
index b724313641f..b2a84a4815d 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -9508,6 +9508,10 @@ class ProviderConfigManager:
             )
 
             return BlackForestLabsImageEditConfig()
+        elif LlmProviders.FAL_AI == provider:
+            from litellm.llms.fal_ai.image_edit import FalAIImageEditConfig
+
+            return FalAIImageEditConfig()
         elif LlmProviders.AZURE_AI == provider:
             from litellm.llms.azure_ai.image_edit import get_azure_ai_image_edit_config
 
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 6f8db4d2215..76839e3cec3 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -23444,6 +23444,1332 @@
         ],
         "supports_vision": true
     },
+    "fal_ai/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "metadata": {
+            "notes": "OpenAI gpt-image-2.5 (flare) served through fal.ai. fal publishes deterministic per-image prices per size and quality, mirrored as keyed entries fal_ai/{quality}/{width}-x-{height}/openai/gpt-image-2.5/flare/text-to-image that the fal_ai cost calculator picks from the request params. This flat entry is the fallback for the default request (quality=high, image_size=landscape_4_3 at 1024x768). quality=auto is priced as high"
+        },
+        "mode": "image_generation",
+        "output_cost_per_image": 0.03612,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/low/1024-x-768/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.00402,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/low/1024-x-1024/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.00588,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/low/1024-x-1536/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.00474,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/low/1920-x-1080/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.00441,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/low/2560-x-1440/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.00615,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/low/3840-x-2160/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.01113,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/medium/1024-x-768/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.00903,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/medium/1024-x-1024/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.01317,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/medium/1024-x-1536/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.01029,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/medium/1920-x-1080/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.01029,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/medium/2560-x-1440/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.01434,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/medium/3840-x-2160/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.02595,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/high/1024-x-768/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.03612,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/high/1024-x-1024/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.05268,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/high/1024-x-1536/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.04116,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/high/1920-x-1080/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.0396,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/high/2560-x-1440/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.05529,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/high/3840-x-2160/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.10008,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/xhigh/1024-x-768/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.0642,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/xhigh/1024-x-1024/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.09366,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
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+        "mode": "image_generation",
+        "output_cost_per_image": 0.07377,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/xhigh/1920-x-1080/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.07041,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/xhigh/2560-x-1440/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.09828,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/xhigh/3840-x-2160/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.1779,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/max/1024-x-768/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.14445,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/max/1024-x-1024/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.21072,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/max/1024-x-1536/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.16464,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/max/1920-x-1080/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.1584,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/max/2560-x-1440/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.2211,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/max/3840-x-2160/openai/gpt-image-2.5/sunburst/edit": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.40026,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/sunburst/edit",
+        "supported_endpoints": [
+            "/v1/images/edits",
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
+    "fal_ai/fal-ai/flux/dev": {
+        "litellm_provider": "fal_ai",
+        "metadata": {
+            "notes": "fal bills FLUX.1 [dev] at $0.025 per megapixel, rounding each image up to the nearest megapixel. Every named fal image_size (including the landscape_4_3 default) rounds up to 1 megapixel, so this flat per-image price is exact for them"
+        },
+        "mode": "image_generation",
+        "output_cost_per_image": 0.025,
+        "source": "https://fal.ai/models/fal-ai/flux/dev",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ]
+    },
     "featherless_ai/featherless-ai/Qwerky-72B": {
         "litellm_provider": "featherless_ai",
         "max_input_tokens": 32768,
diff --git a/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py b/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py
new file mode 100644
index 00000000000..d8df467f0f4
--- /dev/null
+++ b/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py
@@ -0,0 +1,106 @@
+import base64
+import io
+import json
+
+import httpx
+import pytest
+
+from litellm.llms.fal_ai.image_edit import FalAIImageEditConfig
+from litellm.types.images.main import ImageEditOptionalRequestParams
+from litellm.types.router import GenericLiteLLMParams
+from litellm.types.utils import ImageResponse, LlmProviders
+from litellm.utils import ProviderConfigManager
+
+PNG_BYTES = b"\x89PNG\r\n\x1a\n" + b"\x00" * 16
+
+
+def test_fal_ai_resolves_to_image_edit_config():
+    config = ProviderConfigManager.get_provider_image_edit_config(
+        model="openai/gpt-image-2.5/flare/edit", provider=LlmProviders.FAL_AI
+    )
+    assert isinstance(config, FalAIImageEditConfig)
+
+
+@pytest.mark.parametrize(
+    "model,expected",
+    [
+        ("openai/gpt-image-2.5/flare", "https://fal.run/openai/gpt-image-2.5/flare/edit"),
+        ("openai/gpt-image-2.5/sunburst/edit", "https://fal.run/openai/gpt-image-2.5/sunburst/edit"),
+        ("openai/gpt-image-2", "https://fal.run/openai/gpt-image-2/edit"),
+    ],
+)
+def test_get_complete_url_appends_edit_suffix_once(model, expected):
+    assert FalAIImageEditConfig().get_complete_url(model=model, api_base=None, litellm_params={}) == expected
+
+
+def test_get_complete_url_respects_api_base():
+    url = FalAIImageEditConfig().get_complete_url(
+        model="openai/gpt-image-2.5/flare", api_base="https://proxy.internal/", litellm_params={}
+    )
+    assert url == "https://proxy.internal/openai/gpt-image-2.5/flare/edit"
+
+
+def test_validate_environment_uses_fal_key_scheme():
+    headers = FalAIImageEditConfig().validate_environment(headers={}, model="m", api_key="secret")
+    assert headers["Authorization"] == "Key secret"
+
+
+def test_validate_environment_requires_key(monkeypatch):
+    monkeypatch.delenv("FAL_AI_API_KEY", raising=False)
+    with pytest.raises(ValueError, match="FAL_AI_API_KEY"):
+        FalAIImageEditConfig().validate_environment(headers={}, model="m", api_key=None)
+
+
+def test_map_openai_params_translates_to_fal_names():
+    mapped = FalAIImageEditConfig().map_openai_params(
+        image_edit_optional_params=ImageEditOptionalRequestParams(
+            n=2, size="1024x1536", quality="xhigh", background="transparent"
+        ),
+        model="openai/gpt-image-2.5/flare/edit",
+        drop_params=False,
+    )
+    assert mapped == {
+        "num_images": 2,
+        "image_size": {"width": 1024, "height": 1536},
+        "quality": "xhigh",
+        "background": "transparent",
+    }
+
+
+def test_transform_request_inlines_local_images_as_data_urls_and_keeps_remote_urls():
+    body, files = FalAIImageEditConfig().transform_image_edit_request(
+        model="openai/gpt-image-2.5/flare/edit",
+        prompt="make it blue",
+        image=[io.BytesIO(PNG_BYTES), "https://example.com/in.png"],
+        image_edit_optional_request_params={"num_images": 1, "mask": io.BytesIO(PNG_BYTES)},
+        litellm_params=GenericLiteLLMParams(),
+        headers={},
+    )
+    expected_data_url = "data:image/png;base64," + base64.b64encode(PNG_BYTES).decode()
+    assert files == ()
+    assert body["prompt"] == "make it blue"
+    assert json.loads(json.dumps(body))["image_urls"] == [expected_data_url, "https://example.com/in.png"]
+    assert body["mask_url"] == expected_data_url
+    assert body["num_images"] == 1
+    assert "mask" not in body
+
+
+def test_transform_response_maps_fal_images():
+    raw = httpx.Response(200, json={"images": [{"url": "https://fal.media/out.png"}]})
+    response = FalAIImageEditConfig().transform_image_edit_response(
+        model="openai/gpt-image-2.5/flare/edit", raw_response=raw, logging_obj=None
+    )
+    assert isinstance(response, ImageResponse)
+    assert [image.url for image in response.data] == ["https://fal.media/out.png"]
+
+
+def test_transform_request_requires_an_image():
+    with pytest.raises(ValueError, match="input image"):
+        FalAIImageEditConfig().transform_image_edit_request(
+            model="openai/gpt-image-2.5/flare/edit",
+            prompt="make it blue",
+            image=None,
+            image_edit_optional_request_params={},
+            litellm_params=GenericLiteLLMParams(),
+            headers={},
+        )
diff --git a/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_flux_dev_transformation.py b/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_flux_dev_transformation.py
new file mode 100644
index 00000000000..09c9bc4b5f7
--- /dev/null
+++ b/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_flux_dev_transformation.py
@@ -0,0 +1,61 @@
+import httpx
+import pytest
+
+from litellm.llms.fal_ai.image_generation import (
+    FalAIFluxDevConfig,
+    FalAIFluxSchnellConfig,
+    FalAIImageGenerationConfig,
+    get_fal_ai_image_generation_config,
+)
+from litellm.types.utils import ImageResponse
+
+
+@pytest.mark.parametrize("model", ["fal-ai/flux/dev", "flux/dev", "flux-dev"])
+def test_flux_dev_config_selected(model):
+    config = get_fal_ai_image_generation_config(model)
+    assert isinstance(config, FalAIFluxDevConfig)
+    assert not isinstance(config, FalAIImageGenerationConfig)
+
+
+def test_flux_schnell_still_routes_to_schnell():
+    config = get_fal_ai_image_generation_config("fal-ai/flux/schnell")
+    assert isinstance(config, FalAIFluxSchnellConfig)
+    assert not isinstance(config, FalAIFluxDevConfig)
+
+
+def test_flux_dev_url_targets_dev_endpoint():
+    url = FalAIFluxDevConfig().get_complete_url(
+        api_base=None, api_key="k", model="fal-ai/flux/dev", optional_params={}, litellm_params={}
+    )
+    assert url == "https://fal.run/fal-ai/flux/dev"
+
+
+def test_flux_dev_maps_openai_params_and_builds_request():
+    config = FalAIFluxDevConfig()
+    optional_params = config.map_openai_params(
+        non_default_params={"n": 2, "size": "1024x1024", "response_format": "b64_json"},
+        optional_params={},
+        model="fal-ai/flux/dev",
+        drop_params=False,
+    )
+    body = config.transform_image_generation_request(
+        model="fal-ai/flux/dev", prompt="a cat", optional_params=optional_params, litellm_params={}, headers={}
+    )
+    assert body["prompt"] == "a cat"
+    assert body["num_images"] == 2
+    assert body["image_size"] == "square_hd"
+
+
+def test_flux_dev_response_yields_one_image_object_per_fal_image():
+    raw = httpx.Response(200, json={"images": [{"url": "https://fal.media/a.png"}, {"url": "https://fal.media/b.png"}]})
+    response = FalAIFluxDevConfig().transform_image_generation_response(
+        model="fal-ai/flux/dev",
+        raw_response=raw,
+        model_response=ImageResponse(),
+        logging_obj=None,
+        request_data={},
+        optional_params={},
+        litellm_params={},
+        encoding=None,
+    )
+    assert [image.url for image in response.data] == ["https://fal.media/a.png", "https://fal.media/b.png"]
diff --git a/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_gpt_image_2_transformation.py b/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_gpt_image_2_transformation.py
index 18a7e0161db..5445c0cc1b4 100644
--- a/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_gpt_image_2_transformation.py
+++ b/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_gpt_image_2_transformation.py
@@ -127,3 +127,36 @@ def test_transform_image_generation_request():
     ) == {"prompt": "a red bicycle", "quality": "high", "num_images": 2}
 
 
+@pytest.mark.parametrize(
+    "model",
+    [
+        "openai/gpt-image-2.5/flare/text-to-image",
+        "openai/gpt-image-2.5/sunburst/text-to-image",
+    ],
+)
+def test_gpt_image_25_routes_to_its_own_fal_endpoint(model):
+    config = get_fal_ai_image_generation_config(model)
+    assert isinstance(config, FalAIGPTImage2Config)
+    assert (
+        config.get_complete_url(api_base=None, api_key="k", model=model, optional_params={}, litellm_params={})
+        == f"https://fal.run/{model}"
+    )
+
+
+@pytest.mark.parametrize(
+    "model,quality,expected",
+    [
+        ("openai/gpt-image-2.5/flare/text-to-image", "xhigh", "xhigh"),
+        ("openai/gpt-image-2.5/sunburst/text-to-image", "max", "max"),
+        ("openai/gpt-image-2.5/flare/text-to-image", "hd", "high"),
+        ("openai/gpt-image-2", "xhigh", "auto"),
+        ("openai/gpt-image-2", "max", "auto"),
+    ],
+)
+def test_map_openai_params_quality_tiers_follow_model(model, quality, expected):
+    assert FalAIGPTImage2Config().map_openai_params(
+        non_default_params={"quality": quality},
+        optional_params={},
+        model=model,
+        drop_params=False,
+    ) == {"quality": expected}
diff --git a/tests/test_litellm/llms/fal_ai/test_cost_calculator.py b/tests/test_litellm/llms/fal_ai/test_cost_calculator.py
index 419aff42059..989b5855803 100644
--- a/tests/test_litellm/llms/fal_ai/test_cost_calculator.py
+++ b/tests/test_litellm/llms/fal_ai/test_cost_calculator.py
@@ -17,3 +17,74 @@ def _use_local_model_cost_map(monkeypatch):
 
 def _image_response(num_images: int = 1) -> ImageResponse:
     return ImageResponse(data=[ImageObject(url="https://example.com/img.png") for _ in range(num_images)])
+
+
+GPT_IMAGE_25_MODELS = (
+    "openai/gpt-image-2.5/flare/text-to-image",
+    "openai/gpt-image-2.5/flare/edit",
+    "openai/gpt-image-2.5/sunburst/text-to-image",
+    "openai/gpt-image-2.5/sunburst/edit",
+)
+
+
+@pytest.mark.parametrize("model", GPT_IMAGE_25_MODELS)
+def test_gpt_image_25_default_request_matches_high_1024x768_keyed_row(model):
+    default_cost = cost_calculator(model=f"fal_ai/{model}", image_response=_image_response(), optional_params={})
+    keyed_cost = litellm.model_cost[f"fal_ai/high/1024-x-768/{model}"]["output_cost_per_image"]
+    assert default_cost == keyed_cost > 0
+
+
+@pytest.mark.parametrize("model", GPT_IMAGE_25_MODELS)
+def test_gpt_image_25_quality_and_size_pick_keyed_row(model):
+    cost = cost_calculator(
+        model=f"fal_ai/{model}",
+        image_response=_image_response(num_images=2),
+        optional_params={"quality": "max", "image_size": {"width": 3840, "height": 2160}},
+    )
+    assert cost == 2 * litellm.model_cost[f"fal_ai/max/3840-x-2160/{model}"]["output_cost_per_image"] > 0
+
+
+def test_gpt_image_25_edit_auto_size_still_honors_quality():
+    model = "fal_ai/openai/gpt-image-2.5/flare/edit"
+    low = cost_calculator(
+        model=model, image_response=_image_response(), optional_params={"quality": "low", "image_size": "auto"}
+    )
+    high = cost_calculator(
+        model=model, image_response=_image_response(), optional_params={"quality": "high", "image_size": "auto"}
+    )
+    assert 0 < low < high
+
+
+def test_gpt_image_25_quality_tiers_are_monotonic():
+    costs = tuple(
+        cost_calculator(
+            model="fal_ai/openai/gpt-image-2.5/sunburst/text-to-image",
+            image_response=_image_response(),
+            optional_params={"quality": quality, "image_size": "square_hd"},
+        )
+        for quality in ("low", "medium", "high", "xhigh", "max")
+    )
+    assert costs == tuple(sorted(costs)) and len(set(costs)) == len(costs)
+
+
+def test_flux_dev_cost_is_nonzero_and_distinct_from_schnell():
+    dev = cost_calculator(
+        model="fal_ai/fal-ai/flux/dev", image_response=_image_response(num_images=3), optional_params={}
+    )
+    schnell = cost_calculator(
+        model="fal_ai/fal-ai/flux/schnell", image_response=_image_response(num_images=3), optional_params={}
+    )
+    assert dev > schnell > 0
+    assert dev == 3 * litellm.model_cost["fal_ai/fal-ai/flux/dev"]["output_cost_per_image"]
+
+
+def test_image_edit_call_type_routes_to_fal_keyed_pricing():
+    model = "openai/gpt-image-2.5/flare/edit"
+    cost = CostCalculatorUtils.route_image_generation_cost_calculator(
+        model=model,
+        completion_response=_image_response(),
+        custom_llm_provider="fal_ai",
+        optional_params={"quality": "medium", "image_size": {"width": 1024, "height": 1024}},
+        call_type="aimage_edit",
+    )
+    assert cost == litellm.model_cost[f"fal_ai/medium/1024-x-1024/{model}"]["output_cost_per_image"] > 0

From 62c215be19a7b26cd8646c55f658fcadde724150 Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Sun, 20 Sep 2026 05:31:27 +0000
Subject: [PATCH 2/7] fix(fal_ai): accept every FileTypes image input and
 derive gpt-image qualities from pricing metadata

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../llms/fal_ai/image_edit/transformation.py  | 38 ++++++++++++++----
 .../gpt_image_2_transformation.py             | 13 +++++--
 .../test_fal_ai_image_edit_transformation.py  | 39 +++++++++++++++++++
 .../test_fal_ai_gpt_image_2_transformation.py |  8 ++++
 4 files changed, 88 insertions(+), 10 deletions(-)

diff --git a/litellm/llms/fal_ai/image_edit/transformation.py b/litellm/llms/fal_ai/image_edit/transformation.py
index f0bb2820d7e..274e166e9f6 100644
--- a/litellm/llms/fal_ai/image_edit/transformation.py
+++ b/litellm/llms/fal_ai/image_edit/transformation.py
@@ -1,8 +1,9 @@
 import base64
+import os
 from collections.abc import Mapping
-from io import BufferedReader, BytesIO
+from pathlib import Path
 from types import MappingProxyType
-from typing import TYPE_CHECKING, Final
+from typing import TYPE_CHECKING, Final, Protocol, runtime_checkable
 
 import httpx
 from httpx._types import RequestFiles
@@ -35,16 +36,39 @@ PARAM_TRANSLATION: Final[Mapping[str, str]] = MappingProxyType(
 )
 
 
+@runtime_checkable
+class _Readable(Protocol):
+    def read(self) -> bytes: ...
+
+
+@runtime_checkable
+class _Tellable(Protocol):
+    def tell(self) -> int: ...
+
+
+@runtime_checkable
+class _Seekable(Protocol):
+    def seek(self, position: int) -> int: ...
+
+
 def _read_image_bytes(image: object) -> bytes:
     if isinstance(image, bytes):
         return image
-    if isinstance(image, (BytesIO, BufferedReader)):
-        position: Final = image.tell()
+    if isinstance(image, tuple) and len(image) >= 2:
+        return _read_image_bytes(image[1])
+    if isinstance(image, os.PathLike):
+        return Path(image).read_bytes()
+    if isinstance(image, str):
+        raise ValueError(f"Unsupported image type for Fal AI image edit: {type(image).__name__}")
+    if not hasattr(image, "read") or not isinstance(image, _Readable):
+        raise ValueError(f"Unsupported image type for Fal AI image edit: {type(image).__name__}")
+    position: Final = image.tell() if hasattr(image, "tell") and isinstance(image, _Tellable) else 0
+    if hasattr(image, "seek") and isinstance(image, _Seekable):
         image.seek(0)
-        data: Final = image.read()
+    data: Final = image.read()
+    if hasattr(image, "seek") and isinstance(image, _Seekable):
         image.seek(position)
-        return data
-    raise ValueError(f"Unsupported image type for Fal AI image edit: {type(image).__name__}")
+    return data
 
 
 def _to_data_url(image: object) -> str:
diff --git a/litellm/llms/fal_ai/image_generation/gpt_image_2_transformation.py b/litellm/llms/fal_ai/image_generation/gpt_image_2_transformation.py
index ce016b350d8..cfa36a65a6f 100644
--- a/litellm/llms/fal_ai/image_generation/gpt_image_2_transformation.py
+++ b/litellm/llms/fal_ai/image_generation/gpt_image_2_transformation.py
@@ -4,6 +4,7 @@ from typing import Final
 
 from typing_extensions import ReadOnly, TypedDict
 
+import litellm
 from litellm.secret_managers.main import get_secret_str
 from litellm.types.llms.openai import OpenAIImageGenerationOptionalParams
 
@@ -23,8 +24,6 @@ SUPPORTED_OPENAI_PARAMS: Final[tuple[OpenAIImageGenerationOptionalParams, ...]]
     "size",
 )
 SUPPORTED_QUALITIES: Final[frozenset[str]] = frozenset({"auto", "low", "medium", "high"})
-GPT_IMAGE_25_QUALITIES: Final[frozenset[str]] = SUPPORTED_QUALITIES | frozenset(("xhigh", "max"))
-GPT_IMAGE_25_MARKER: Final[str] = "gpt-image-2.5"
 OPENAI_QUALITY_ALIASES: Final[Mapping[str, str]] = MappingProxyType({"hd": "high", "standard": "medium"})
 
 
@@ -40,7 +39,15 @@ def map_gpt_image_size(size: object) -> object:
 
 
 def supported_gpt_image_qualities(model: str) -> frozenset[str]:
-    return GPT_IMAGE_25_QUALITIES if GPT_IMAGE_25_MARKER in model.lower() else SUPPORTED_QUALITIES
+    suffix: Final = f"/{model}"
+    keyed: Final = frozenset(
+        key.removeprefix("fal_ai/").split("/")[0]
+        for key in litellm.model_cost
+        if key.startswith("fal_ai/")
+        and key.endswith(suffix)
+        and key.removeprefix("fal_ai/").removesuffix(suffix).count("/") == 1
+    )
+    return keyed | frozenset(("auto",)) if keyed else SUPPORTED_QUALITIES
 
 
 def map_gpt_image_quality(quality: object, model: str) -> object:
diff --git a/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py b/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py
index d8df467f0f4..ce23f54a48e 100644
--- a/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py
+++ b/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py
@@ -1,6 +1,8 @@
 import base64
 import io
 import json
+from pathlib import Path
+from typing import Final
 
 import httpx
 import pytest
@@ -14,6 +16,20 @@ from litellm.utils import ProviderConfigManager
 PNG_BYTES = b"\x89PNG\r\n\x1a\n" + b"\x00" * 16
 
 
+class GenericFileLike:
+    def __init__(self, data: bytes):
+        self._buffer = io.BytesIO(data)
+
+    def read(self) -> bytes:
+        return self._buffer.read()
+
+    def seek(self, position: int) -> int:
+        return self._buffer.seek(position)
+
+    def tell(self) -> int:
+        return self._buffer.tell()
+
+
 def test_fal_ai_resolves_to_image_edit_config():
     config = ProviderConfigManager.get_provider_image_edit_config(
         model="openai/gpt-image-2.5/flare/edit", provider=LlmProviders.FAL_AI
@@ -85,6 +101,29 @@ def test_transform_request_inlines_local_images_as_data_urls_and_keeps_remote_ur
     assert "mask" not in body
 
 
+@pytest.mark.parametrize("input_kind", ("path", "tuple_bytes", "tuple_file_like", "file_like"))
+def test_transform_request_accepts_openai_file_types(tmp_path, input_kind):
+    image_path: Final[Path] = tmp_path / "in.png"
+    image_path.write_bytes(PNG_BYTES)
+    image: Final[object] = {
+        "path": image_path,
+        "tuple_bytes": ("in.png", PNG_BYTES),
+        "tuple_file_like": ("in.png", io.BytesIO(PNG_BYTES), "image/png"),
+        "file_like": GenericFileLike(PNG_BYTES),
+    }[input_kind]
+    expected_data_url: Final = "data:image/png;base64," + base64.b64encode(PNG_BYTES).decode()
+    body, files = FalAIImageEditConfig().transform_image_edit_request(
+        model="openai/gpt-image-2",
+        prompt="make it blue",
+        image=image,
+        image_edit_optional_request_params={},
+        litellm_params=GenericLiteLLMParams(),
+        headers={},
+    )
+    assert files == ()
+    assert body["image_urls"] == (expected_data_url,)
+
+
 def test_transform_response_maps_fal_images():
     raw = httpx.Response(200, json={"images": [{"url": "https://fal.media/out.png"}]})
     response = FalAIImageEditConfig().transform_image_edit_response(
diff --git a/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_gpt_image_2_transformation.py b/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_gpt_image_2_transformation.py
index 5445c0cc1b4..262b9de7631 100644
--- a/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_gpt_image_2_transformation.py
+++ b/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_gpt_image_2_transformation.py
@@ -7,6 +7,7 @@ from litellm.llms.fal_ai.image_generation import (
     FalAINanoBananaConfig,
     get_fal_ai_image_generation_config,
 )
+from litellm.llms.fal_ai.image_generation.gpt_image_2_transformation import map_gpt_image_quality
 from litellm.types.utils import ImageObject, ImageResponse
 
 
@@ -160,3 +161,10 @@ def test_map_openai_params_quality_tiers_follow_model(model, quality, expected):
         model=model,
         drop_params=False,
     ) == {"quality": expected}
+
+
+def test_map_gpt_image_quality_derives_supported_tiers_from_pricing_metadata():
+    assert map_gpt_image_quality("xhigh", "openai/gpt-image-2.5/flare/text-to-image") == "xhigh"
+    assert map_gpt_image_quality("xhigh", "openai/gpt-image-2") == "auto"
+    assert map_gpt_image_quality("xhigh", "openai/unknown-model") == "auto"
+    assert map_gpt_image_quality("high", "openai/unknown-model") == "high"

From cf581bf3277bd7822cc74182829d89bd2d3ddc62 Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Sun, 20 Sep 2026 05:32:24 +0000
Subject: [PATCH 3/7] refactor(fal_ai): drop redundant hasattr guards in the
 image edit byte reader

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/llms/fal_ai/image_edit/transformation.py | 10 ++++------
 1 file changed, 4 insertions(+), 6 deletions(-)

diff --git a/litellm/llms/fal_ai/image_edit/transformation.py b/litellm/llms/fal_ai/image_edit/transformation.py
index 274e166e9f6..3879ef0715c 100644
--- a/litellm/llms/fal_ai/image_edit/transformation.py
+++ b/litellm/llms/fal_ai/image_edit/transformation.py
@@ -58,15 +58,13 @@ def _read_image_bytes(image: object) -> bytes:
         return _read_image_bytes(image[1])
     if isinstance(image, os.PathLike):
         return Path(image).read_bytes()
-    if isinstance(image, str):
+    if isinstance(image, str) or not isinstance(image, _Readable):
         raise ValueError(f"Unsupported image type for Fal AI image edit: {type(image).__name__}")
-    if not hasattr(image, "read") or not isinstance(image, _Readable):
-        raise ValueError(f"Unsupported image type for Fal AI image edit: {type(image).__name__}")
-    position: Final = image.tell() if hasattr(image, "tell") and isinstance(image, _Tellable) else 0
-    if hasattr(image, "seek") and isinstance(image, _Seekable):
+    position: Final = image.tell() if isinstance(image, _Tellable) else 0
+    if isinstance(image, _Seekable):
         image.seek(0)
     data: Final = image.read()
-    if hasattr(image, "seek") and isinstance(image, _Seekable):
+    if isinstance(image, _Seekable):
         image.seek(position)
     return data
 

From cc7dce6a218f0be9b2e9026a87d0977b5136b34c Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Sun, 20 Sep 2026 05:32:02 +0000
Subject: [PATCH 4/7] fix(fal_ai): accept every FileTypes image input and
 derive gpt-image qualities from pricing rows

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 .../llms/fal_ai/image_edit/transformation.py  | 26 +++------
 .../gpt_image_2_transformation.py             | 33 +++++++----
 .../test_fal_ai_image_edit_transformation.py  | 55 +++++++++----------
 .../test_fal_ai_gpt_image_2_transformation.py | 29 ++++++++--
 4 files changed, 78 insertions(+), 65 deletions(-)

diff --git a/litellm/llms/fal_ai/image_edit/transformation.py b/litellm/llms/fal_ai/image_edit/transformation.py
index 3879ef0715c..794d058bbd4 100644
--- a/litellm/llms/fal_ai/image_edit/transformation.py
+++ b/litellm/llms/fal_ai/image_edit/transformation.py
@@ -37,36 +37,28 @@ PARAM_TRANSLATION: Final[Mapping[str, str]] = MappingProxyType(
 
 
 @runtime_checkable
-class _Readable(Protocol):
-    def read(self) -> bytes: ...
-
-
-@runtime_checkable
-class _Tellable(Protocol):
+class _SeekableBinaryReader(Protocol):
     def tell(self) -> int: ...
 
+    def seek(self, offset: int) -> int: ...
 
-@runtime_checkable
-class _Seekable(Protocol):
-    def seek(self, position: int) -> int: ...
+    def read(self) -> bytes: ...
 
 
 def _read_image_bytes(image: object) -> bytes:
     if isinstance(image, bytes):
         return image
-    if isinstance(image, tuple) and len(image) >= 2:
+    if isinstance(image, tuple):
         return _read_image_bytes(image[1])
     if isinstance(image, os.PathLike):
         return Path(image).read_bytes()
-    if isinstance(image, str) or not isinstance(image, _Readable):
-        raise ValueError(f"Unsupported image type for Fal AI image edit: {type(image).__name__}")
-    position: Final = image.tell() if isinstance(image, _Tellable) else 0
-    if isinstance(image, _Seekable):
+    if isinstance(image, _SeekableBinaryReader):
+        position: Final = image.tell()
         image.seek(0)
-    data: Final = image.read()
-    if isinstance(image, _Seekable):
+        data: Final = image.read()
         image.seek(position)
-    return data
+        return data
+    raise ValueError(f"Unsupported image type for Fal AI image edit: {type(image).__name__}")
 
 
 def _to_data_url(image: object) -> str:
diff --git a/litellm/llms/fal_ai/image_generation/gpt_image_2_transformation.py b/litellm/llms/fal_ai/image_generation/gpt_image_2_transformation.py
index cfa36a65a6f..3dfc26f8f46 100644
--- a/litellm/llms/fal_ai/image_generation/gpt_image_2_transformation.py
+++ b/litellm/llms/fal_ai/image_generation/gpt_image_2_transformation.py
@@ -23,7 +23,6 @@ SUPPORTED_OPENAI_PARAMS: Final[tuple[OpenAIImageGenerationOptionalParams, ...]]
     "response_format",
     "size",
 )
-SUPPORTED_QUALITIES: Final[frozenset[str]] = frozenset({"auto", "low", "medium", "high"})
 OPENAI_QUALITY_ALIASES: Final[Mapping[str, str]] = MappingProxyType({"hd": "high", "standard": "medium"})
 
 
@@ -38,23 +37,33 @@ def map_gpt_image_size(size: object) -> object:
     return image_size
 
 
-def supported_gpt_image_qualities(model: str) -> frozenset[str]:
-    suffix: Final = f"/{model}"
-    keyed: Final = frozenset(
-        key.removeprefix("fal_ai/").split("/")[0]
-        for key in litellm.model_cost
-        if key.startswith("fal_ai/")
-        and key.endswith(suffix)
-        and key.removeprefix("fal_ai/").removesuffix(suffix).count("/") == 1
+def supported_gpt_image_qualities(
+    model: str, model_cost: Mapping[str, Mapping[str, object]] | None = None
+) -> frozenset[str]:
+    costs: Final = litellm.model_cost if model_cost is None else model_cost
+    endpoint: Final[str] = model.removeprefix("fal_ai/")
+    qualified_endpoint: Final[str] = endpoint if endpoint.startswith("openai/") else f"openai/{endpoint}"
+    qualities: Final[frozenset[str]] = frozenset(
+        parts[1]
+        for key in costs
+        if (parts := key.split("/"))[0] == "fal_ai"
+        and len(parts) > 3
+        and "-x-" in parts[2]
+        and "/".join(parts[3:]) == qualified_endpoint
     )
-    return keyed | frozenset(("auto",)) if keyed else SUPPORTED_QUALITIES
+    return qualities | {"auto"} if qualities else frozenset()
 
 
-def map_gpt_image_quality(quality: object, model: str) -> object:
+def map_gpt_image_quality(
+    quality: object, model: str, model_cost: Mapping[str, Mapping[str, object]] | None = None
+) -> object:
     if not isinstance(quality, str):
         return quality
     normalized: Final[str] = OPENAI_QUALITY_ALIASES.get(quality, quality)
-    return normalized if normalized in supported_gpt_image_qualities(model) else "auto"
+    supported: Final[frozenset[str]] = supported_gpt_image_qualities(model, model_cost)
+    if not supported:
+        return normalized
+    return normalized if normalized in supported else "auto"
 
 
 class FalAIGPTImage2Config(FalAIBaseConfig):
diff --git a/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py b/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py
index ce23f54a48e..9f4637308e1 100644
--- a/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py
+++ b/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py
@@ -1,8 +1,8 @@
 import base64
 import io
 import json
+import tempfile
 from pathlib import Path
-from typing import Final
 
 import httpx
 import pytest
@@ -16,20 +16,6 @@ from litellm.utils import ProviderConfigManager
 PNG_BYTES = b"\x89PNG\r\n\x1a\n" + b"\x00" * 16
 
 
-class GenericFileLike:
-    def __init__(self, data: bytes):
-        self._buffer = io.BytesIO(data)
-
-    def read(self) -> bytes:
-        return self._buffer.read()
-
-    def seek(self, position: int) -> int:
-        return self._buffer.seek(position)
-
-    def tell(self) -> int:
-        return self._buffer.tell()
-
-
 def test_fal_ai_resolves_to_image_edit_config():
     config = ProviderConfigManager.get_provider_image_edit_config(
         model="openai/gpt-image-2.5/flare/edit", provider=LlmProviders.FAL_AI
@@ -101,27 +87,36 @@ def test_transform_request_inlines_local_images_as_data_urls_and_keeps_remote_ur
     assert "mask" not in body
 
 
-@pytest.mark.parametrize("input_kind", ("path", "tuple_bytes", "tuple_file_like", "file_like"))
-def test_transform_request_accepts_openai_file_types(tmp_path, input_kind):
-    image_path: Final[Path] = tmp_path / "in.png"
-    image_path.write_bytes(PNG_BYTES)
-    image: Final[object] = {
-        "path": image_path,
-        "tuple_bytes": ("in.png", PNG_BYTES),
-        "tuple_file_like": ("in.png", io.BytesIO(PNG_BYTES), "image/png"),
-        "file_like": GenericFileLike(PNG_BYTES),
-    }[input_kind]
-    expected_data_url: Final = "data:image/png;base64," + base64.b64encode(PNG_BYTES).decode()
-    body, files = FalAIImageEditConfig().transform_image_edit_request(
-        model="openai/gpt-image-2",
+@pytest.mark.parametrize(
+    "image_factory",
+    [
+        pytest.param(lambda path: ("red.png", PNG_BYTES), id="filename-bytes-tuple"),
+        pytest.param(lambda path: ("red.png", PNG_BYTES, "image/png"), id="three-tuple-with-content-type"),
+        pytest.param(lambda path: path, id="path"),
+        pytest.param(lambda path: io.FileIO(str(path), "rb"), id="file-io"),
+        pytest.param(
+            lambda path: tempfile.SpooledTemporaryFile(suffix=".png"),
+            id="spooled-temp-file",
+        ),
+    ],
+)
+def test_transform_request_reads_every_file_types_input(tmp_path, image_factory):
+    path = Path(tmp_path) / "red.png"
+    path.write_bytes(PNG_BYTES)
+    image = image_factory(path)
+    if isinstance(image, tempfile.SpooledTemporaryFile):
+        image.write(PNG_BYTES)
+        image.seek(3)
+    body, _ = FalAIImageEditConfig().transform_image_edit_request(
+        model="openai/gpt-image-2.5/flare/edit",
         prompt="make it blue",
         image=image,
         image_edit_optional_request_params={},
         litellm_params=GenericLiteLLMParams(),
         headers={},
     )
-    assert files == ()
-    assert body["image_urls"] == (expected_data_url,)
+    expected_data_url = "data:image/png;base64," + base64.b64encode(PNG_BYTES).decode()
+    assert body["image_urls"][0] == expected_data_url
 
 
 def test_transform_response_maps_fal_images():
diff --git a/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_gpt_image_2_transformation.py b/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_gpt_image_2_transformation.py
index 262b9de7631..f9d5393f426 100644
--- a/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_gpt_image_2_transformation.py
+++ b/tests/test_litellm/llms/fal_ai/image_generation/test_fal_ai_gpt_image_2_transformation.py
@@ -7,7 +7,10 @@ from litellm.llms.fal_ai.image_generation import (
     FalAINanoBananaConfig,
     get_fal_ai_image_generation_config,
 )
-from litellm.llms.fal_ai.image_generation.gpt_image_2_transformation import map_gpt_image_quality
+from litellm.llms.fal_ai.image_generation.gpt_image_2_transformation import (
+    map_gpt_image_quality,
+    supported_gpt_image_qualities,
+)
 from litellm.types.utils import ImageObject, ImageResponse
 
 
@@ -163,8 +166,22 @@ def test_map_openai_params_quality_tiers_follow_model(model, quality, expected):
     ) == {"quality": expected}
 
 
-def test_map_gpt_image_quality_derives_supported_tiers_from_pricing_metadata():
-    assert map_gpt_image_quality("xhigh", "openai/gpt-image-2.5/flare/text-to-image") == "xhigh"
-    assert map_gpt_image_quality("xhigh", "openai/gpt-image-2") == "auto"
-    assert map_gpt_image_quality("xhigh", "openai/unknown-model") == "auto"
-    assert map_gpt_image_quality("high", "openai/unknown-model") == "high"
+@pytest.mark.parametrize(
+    "model",
+    [
+        "some-new-model",
+        "openai/some-new-model",
+        "fal_ai/openai/some-new-model",
+    ],
+)
+def test_supported_qualities_derived_from_pricing_rows(model):
+    model_cost = {
+        "fal_ai/xhigh/1024-x-1024/openai/some-new-model": {},
+        "fal_ai/low/1024-x-1024/openai/some-new-model": {},
+        "fal_ai/max/1024-x-1024/openai/other-model": {},
+    }
+    assert supported_gpt_image_qualities(model, model_cost) == {"xhigh", "low", "auto"}
+
+
+def test_map_gpt_image_quality_passes_through_when_no_pricing_rows():
+    assert map_gpt_image_quality("xhigh", "some-new-model", {}) == "xhigh"

From 9f24699e4c1e4cee507b5a5d6bd8b704962fc586 Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Sun, 20 Sep 2026 05:44:56 +0000
Subject: [PATCH 5/7] fix(fal_ai): reject empty image lists in image edit
 requests

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 litellm/llms/fal_ai/image_edit/transformation.py            | 6 +++---
 .../image_edit/test_fal_ai_image_edit_transformation.py     | 5 +++--
 2 files changed, 6 insertions(+), 5 deletions(-)

diff --git a/litellm/llms/fal_ai/image_edit/transformation.py b/litellm/llms/fal_ai/image_edit/transformation.py
index 794d058bbd4..70b5d0612f2 100644
--- a/litellm/llms/fal_ai/image_edit/transformation.py
+++ b/litellm/llms/fal_ai/image_edit/transformation.py
@@ -138,9 +138,9 @@ class FalAIImageEditConfig(BaseImageEditConfig):
         litellm_params: GenericLiteLLMParams,
         headers: dict,
     ) -> tuple[dict, RequestFiles]:
-        if image is None:
+        images: Final = tuple(img for img in (image if isinstance(image, list) else (image,)) if img is not None)
+        if not images:
             raise ValueError("Fal AI image edit requires at least one input image")
-        images: Final = tuple(image) if isinstance(image, list) else (image,)
         mask: Final = _first(image_edit_optional_request_params.get("mask"))
         mask_field: Final[Mapping[str, str]] = (
             MappingProxyType({"mask_url": _to_data_url(mask)}) if mask is not None else MappingProxyType({})
@@ -152,7 +152,7 @@ class FalAIImageEditConfig(BaseImageEditConfig):
         )
         request_body: Final[dict[str, object]] = {  # mutable-ok: base class contract returns a dict
             "prompt": prompt,
-            "image_urls": tuple(_to_data_url(img) for img in images if img is not None),
+            "image_urls": tuple(_to_data_url(img) for img in images),
             **mask_field,
             **provider_params,
         }
diff --git a/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py b/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py
index 9f4637308e1..65b04e1f1b8 100644
--- a/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py
+++ b/tests/test_litellm/llms/fal_ai/image_edit/test_fal_ai_image_edit_transformation.py
@@ -128,12 +128,13 @@ def test_transform_response_maps_fal_images():
     assert [image.url for image in response.data] == ["https://fal.media/out.png"]
 
 
-def test_transform_request_requires_an_image():
+@pytest.mark.parametrize("image", [None, []])
+def test_transform_request_requires_an_image(image):
     with pytest.raises(ValueError, match="input image"):
         FalAIImageEditConfig().transform_image_edit_request(
             model="openai/gpt-image-2.5/flare/edit",
             prompt="make it blue",
-            image=None,
+            image=image,
             image_edit_optional_request_params={},
             litellm_params=GenericLiteLLMParams(),
             headers={},

From 75106973550121d04166617380b5245ccfb5690d Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Mon, 21 Sep 2026 17:39:53 +0000
Subject: [PATCH 6/7] test(integration): fal image generation and edit wire
 contracts

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 model_prices_and_context_window.json          |  10 +
 tests/integration/contracts.json              |   9 +
 .../providers/test_fal_ai_image_wire.py       | 205 ++++++++++++++++++
 3 files changed, 224 insertions(+)
 create mode 100644 tests/integration/providers/test_fal_ai_image_wire.py

diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index b5d0b75e5bc..4ba02ecea09 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -23728,6 +23728,16 @@
         ],
         "supports_vision": true
     },
+    "fal_ai/high/1536-x-1024/openai/gpt-image-2.5/flare/text-to-image": {
+        "litellm_provider": "fal_ai",
+        "mode": "image_generation",
+        "output_cost_per_image": 0.04116,
+        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
+        "supported_endpoints": [
+            "/v1/images/generations"
+        ],
+        "supports_vision": true
+    },
     "fal_ai/high/1920-x-1080/openai/gpt-image-2.5/flare/text-to-image": {
         "litellm_provider": "fal_ai",
         "mode": "image_generation",
diff --git a/tests/integration/contracts.json b/tests/integration/contracts.json
index 712ff928a48..cd7e84f81b6 100644
--- a/tests/integration/contracts.json
+++ b/tests/integration/contracts.json
@@ -166,6 +166,15 @@
     "tests/integration/providers/test_fal_ai_video_wire.py::test_fal_video_create_status_and_content_follow_queue_wire_contract": [
       "other.provider_wire.fal_ai.video_queue_create_status_and_content_download"
     ],
+    "tests/integration/providers/test_fal_ai_image_wire.py::test_fal_gpt_image_25_generation_sends_quality_and_size_and_charges_keyed_row": [
+      "other.provider_wire.fal_ai.gpt_image_generation_quality_size_wire_and_keyed_pricing"
+    ],
+    "tests/integration/providers/test_fal_ai_image_wire.py::test_fal_flux_dev_generation_targets_dev_endpoint_and_charges_per_image": [
+      "other.provider_wire.fal_ai.flux_dev_endpoint_and_per_image_pricing"
+    ],
+    "tests/integration/providers/test_fal_ai_image_wire.py::test_fal_gpt_image_25_edit_inlines_upload_as_data_url_and_charges_keyed_row": [
+      "other.provider_wire.fal_ai.image_edit_json_data_urls_and_keyed_pricing"
+    ],
     "tests/integration/mcp/test_mcp_lifecycle.py::test_saved_headers_reach_real_mcp_tool_and_survive_unrelated_edit": [
       "mcp.call_tool.saved_headers.reach_actual_transport"
     ],
diff --git a/tests/integration/providers/test_fal_ai_image_wire.py b/tests/integration/providers/test_fal_ai_image_wire.py
new file mode 100644
index 00000000000..61b476e89b7
--- /dev/null
+++ b/tests/integration/providers/test_fal_ai_image_wire.py
@@ -0,0 +1,205 @@
+import base64
+import json
+from pathlib import Path
+from typing import Final
+
+import httpx
+import pytest
+from integration._support.client import Gateway, eventually
+from integration._support.database import read_rows
+from integration._support.wire import Reply, Request, wire_server
+from pydantic import JsonValue, TypeAdapter
+
+_GPT_IMAGE_MODEL: Final = "openai/gpt-image-2.5/flare/text-to-image"
+_FLUX_MODEL: Final = "fal-ai/flux/dev"
+_EDIT_MODEL: Final = "openai/gpt-image-2.5/flare/edit"
+_PNG_BYTES: Final = (
+    b"\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00\x00\x01\x08\x06\x00\x00\x00"
+    b"\x1f\x15\xc4\x89\x00\x00\x00\rIDAT\x08\xd7c\xf8\xcf\xc0\xf0\x1f\x00\x05\x00\x01\xff"
+    b"\x89\x99=\x1d\x00\x00\x00\x00IEND\xaeB`\x82"
+)
+_PROMPT: Final = "a red circle on a blue background"
+_COST_MAP_PATH: Final = Path(__file__).resolve().parents[3] / "model_prices_and_context_window.json"
+_JSON_OBJECT: Final = TypeAdapter(dict[str, JsonValue])
+_COST_MAP: Final = TypeAdapter(dict[str, dict[str, object]])
+
+
+def _catalog_cost(key: str) -> float:
+    cost_map: Final = _COST_MAP.validate_json(_COST_MAP_PATH.read_bytes())
+    cost_value: Final = cost_map[key]["output_cost_per_image"]
+    assert isinstance(cost_value, (int, float))
+    return float(cost_value)
+
+
+def _image_response(urls: tuple[str, ...], prompt: str) -> bytes:
+    return json.dumps(
+        {
+            "images": [
+                {
+                    "url": url,
+                    "content_type": "image/png",
+                    "file_name": url.rsplit("/", 1)[-1],
+                    "file_size": 123456,
+                    "width": 1024,
+                    "height": 768,
+                }
+                for url in urls
+            ],
+            "timings": {"inference": 2.1},
+            "seed": 1234567,
+            "has_nsfw_concepts": [False],
+            "prompt": prompt,
+        }
+    ).encode()
+
+
+def _response_data(response: httpx.Response) -> list[JsonValue]:
+    payload: Final = _JSON_OBJECT.validate_json(response.content)
+    data: Final = payload["data"]
+    assert isinstance(data, list)
+    return data
+
+
+def _image_urls(response: httpx.Response) -> tuple[str, ...]:
+    data: Final = _response_data(response)
+    values: Final = tuple(
+        image["url"] for image in data if isinstance(image, dict) and isinstance(image.get("url"), str)
+    )
+    assert len(values) == len(data)
+    return tuple(value for value in values if isinstance(value, str))
+
+
+def _response_cost(response: httpx.Response) -> tuple[float, str]:
+    headers: Final = response.headers
+    if "x-litellm-response-cost" in headers:
+        return float(headers["x-litellm-response-cost"]), "x-litellm-response-cost"
+    call_id: Final = headers["x-litellm-call-id"]
+    assert isinstance(call_id, str)
+    rows: Final = eventually(
+        lambda: read_rows('SELECT spend FROM "LiteLLM_SpendLogs" WHERE request_id=%s', (call_id,)),
+        lambda values: len(values) == 1,
+        seconds=70,
+    )
+    spend: Final = rows[0]["spend"]
+    assert isinstance(spend, (int, float, str))
+    return float(spend), "LiteLLM_SpendLogs.spend"
+
+
+def _approx(value: float) -> object:
+    return pytest.approx(value, rel=1e-6)  # pyright: ignore[reportUnknownMemberType]  # pytest lacks typed approx stubs
+
+
+@pytest.mark.covers("other.provider_wire.fal_ai.gpt_image_generation_quality_size_wire_and_keyed_pricing")
+def test_fal_gpt_image_25_generation_sends_quality_and_size_and_charges_keyed_row(gateway: Gateway) -> None:
+    def respond(request: Request) -> Reply:
+        assert request.method == "POST"
+        assert request.headers["authorization"] == "Key synthetic-fal-key"
+        assert request.target == "/openai/gpt-image-2.5/flare/text-to-image"
+        body: Final = _JSON_OBJECT.validate_json(request.body)
+        if body.get("quality") == "high":
+            assert body == {"prompt": _PROMPT, "quality": "high", "image_size": {"width": 1536, "height": 1024}}
+            return Reply(body=_image_response((f"{wire_url}/files/high.png",), _PROMPT))
+        assert body == {"prompt": _PROMPT, "quality": "low"}
+        return Reply(body=_image_response((f"{wire_url}/files/low.png",), _PROMPT))
+
+    with wire_server(respond) as wire, gateway.scenario() as scenario:
+        wire_url: Final = wire.url
+        model: Final = scenario.model(
+            model=f"fal_ai/{_GPT_IMAGE_MODEL}", api_base=wire.url, api_key="synthetic-fal-key"
+        )
+        high_response: Final = gateway.request(
+            "POST",
+            "/v1/images/generations",
+            {"model": model, "prompt": _PROMPT, "quality": "high", "size": "1536x1024"},
+        )
+        assert high_response.status_code == 200, high_response.text
+        assert _image_urls(high_response) == (f"{wire.url}/files/high.png",)
+        high_cost, high_cost_path = _response_cost(high_response)
+        assert high_cost == _approx(_catalog_cost("fal_ai/high/1536-x-1024/openai/gpt-image-2.5/flare/text-to-image"))
+
+        low_response: Final = gateway.request(
+            "POST",
+            "/v1/images/generations",
+            {"model": model, "prompt": _PROMPT, "quality": "low"},
+        )
+        assert low_response.status_code == 200, low_response.text
+        assert _image_urls(low_response) == (f"{wire.url}/files/low.png",)
+        low_cost, low_cost_path = _response_cost(low_response)
+        assert low_cost == _approx(_catalog_cost("fal_ai/low/1024-x-768/openai/gpt-image-2.5/flare/text-to-image"))
+        assert high_cost != low_cost
+        assert high_cost_path in ("x-litellm-response-cost", "LiteLLM_SpendLogs.spend")
+        assert low_cost_path in ("x-litellm-response-cost", "LiteLLM_SpendLogs.spend")
+        assert [(request.method, request.target) for request in wire.drain()] == [
+            ("POST", "/openai/gpt-image-2.5/flare/text-to-image"),
+            ("POST", "/openai/gpt-image-2.5/flare/text-to-image"),
+        ]
+
+
+@pytest.mark.covers("other.provider_wire.fal_ai.flux_dev_endpoint_and_per_image_pricing")
+def test_fal_flux_dev_generation_targets_dev_endpoint_and_charges_per_image(gateway: Gateway) -> None:
+    def respond(request: Request) -> Reply:
+        assert request.method == "POST"
+        assert request.headers["authorization"] == "Key synthetic-fal-key"
+        assert request.target == "/fal-ai/flux/dev"
+        assert _JSON_OBJECT.validate_json(request.body) == {
+            "prompt": _PROMPT,
+            "num_images": 2,
+            "image_size": "square_hd",
+        }
+        return Reply(
+            body=_image_response(
+                (f"{wire_url}/files/flux-1.png", f"{wire_url}/files/flux-2.png"),
+                _PROMPT,
+            )
+        )
+
+    with wire_server(respond) as wire, gateway.scenario() as scenario:
+        wire_url: Final = wire.url
+        model: Final = scenario.model(model=f"fal_ai/{_FLUX_MODEL}", api_base=wire.url, api_key="synthetic-fal-key")
+        response: Final = gateway.request(
+            "POST",
+            "/v1/images/generations",
+            {"model": model, "prompt": _PROMPT, "n": 2, "size": "1024x1024"},
+        )
+        assert response.status_code == 200, response.text
+        assert _image_urls(response) == (
+            f"{wire.url}/files/flux-1.png",
+            f"{wire.url}/files/flux-2.png",
+        )
+        cost, cost_path = _response_cost(response)
+        assert cost == _approx(2 * _catalog_cost("fal_ai/fal-ai/flux/dev"))
+        assert cost_path in ("x-litellm-response-cost", "LiteLLM_SpendLogs.spend")
+        assert [(request.method, request.target) for request in wire.drain()] == [("POST", "/fal-ai/flux/dev")]
+
+
+@pytest.mark.covers("other.provider_wire.fal_ai.image_edit_json_data_urls_and_keyed_pricing")
+def test_fal_gpt_image_25_edit_inlines_upload_as_data_url_and_charges_keyed_row(gateway: Gateway) -> None:
+    def respond(request: Request) -> Reply:
+        assert request.method == "POST"
+        assert request.headers["authorization"] == "Key synthetic-fal-key"
+        assert request.target == "/openai/gpt-image-2.5/flare/edit"
+        assert request.headers["content-type"] == "application/json"
+        assert _JSON_OBJECT.validate_json(request.body) == {
+            "prompt": _PROMPT,
+            "image_urls": ["data:image/png;base64," + base64.b64encode(_PNG_BYTES).decode()],
+            "quality": "low",
+        }
+        return Reply(body=_image_response((f"{wire_url}/files/edit.png",), _PROMPT))
+
+    with wire_server(respond) as wire, gateway.scenario() as scenario:
+        wire_url: Final = wire.url
+        model: Final = scenario.model(model=f"fal_ai/{_EDIT_MODEL}", api_base=wire.url, api_key="synthetic-fal-key")
+        response: Final = gateway.client.post(
+            "/v1/images/edits",
+            data={"model": model, "prompt": _PROMPT, "quality": "low"},
+            files={"image": ("red_circle.png", _PNG_BYTES, "image/png")},
+            headers={"Authorization": f"Bearer {gateway.key}"},
+        )
+        assert response.status_code == 200, response.text
+        assert _image_urls(response) == (f"{wire.url}/files/edit.png",)
+        cost, cost_path = _response_cost(response)
+        assert cost == _approx(_catalog_cost("fal_ai/low/1024-x-768/openai/gpt-image-2.5/flare/edit"))
+        assert cost_path in ("x-litellm-response-cost", "LiteLLM_SpendLogs.spend")
+        assert [(request.method, request.target) for request in wire.drain()] == [
+            ("POST", "/openai/gpt-image-2.5/flare/edit")
+        ]

From 052d93d6dde223073f21a2c3e53998a43fde132c Mon Sep 17 00:00:00 2001
From: kerry <kerry@berri.ai>
Date: Mon, 21 Sep 2026 17:42:02 +0000
Subject: [PATCH 7/7] test(integration): assert full fal image payloads and use
 existing catalog rows

Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
---
 model_prices_and_context_window.json          | 10 ---
 .../providers/test_fal_ai_image_wire.py       | 71 ++++++-------------
 2 files changed, 21 insertions(+), 60 deletions(-)

diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 4ba02ecea09..b5d0b75e5bc 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -23728,16 +23728,6 @@
         ],
         "supports_vision": true
     },
-    "fal_ai/high/1536-x-1024/openai/gpt-image-2.5/flare/text-to-image": {
-        "litellm_provider": "fal_ai",
-        "mode": "image_generation",
-        "output_cost_per_image": 0.04116,
-        "source": "https://fal.ai/models/openai/gpt-image-2.5/flare/text-to-image",
-        "supported_endpoints": [
-            "/v1/images/generations"
-        ],
-        "supports_vision": true
-    },
     "fal_ai/high/1920-x-1080/openai/gpt-image-2.5/flare/text-to-image": {
         "litellm_provider": "fal_ai",
         "mode": "image_generation",
diff --git a/tests/integration/providers/test_fal_ai_image_wire.py b/tests/integration/providers/test_fal_ai_image_wire.py
index 61b476e89b7..23ab7e08c16 100644
--- a/tests/integration/providers/test_fal_ai_image_wire.py
+++ b/tests/integration/providers/test_fal_ai_image_wire.py
@@ -5,8 +5,7 @@ from typing import Final
 
 import httpx
 import pytest
-from integration._support.client import Gateway, eventually
-from integration._support.database import read_rows
+from integration._support.client import Gateway
 from integration._support.wire import Reply, Request, wire_server
 from pydantic import JsonValue, TypeAdapter
 
@@ -53,36 +52,8 @@ def _image_response(urls: tuple[str, ...], prompt: str) -> bytes:
     ).encode()
 
 
-def _response_data(response: httpx.Response) -> list[JsonValue]:
-    payload: Final = _JSON_OBJECT.validate_json(response.content)
-    data: Final = payload["data"]
-    assert isinstance(data, list)
-    return data
-
-
-def _image_urls(response: httpx.Response) -> tuple[str, ...]:
-    data: Final = _response_data(response)
-    values: Final = tuple(
-        image["url"] for image in data if isinstance(image, dict) and isinstance(image.get("url"), str)
-    )
-    assert len(values) == len(data)
-    return tuple(value for value in values if isinstance(value, str))
-
-
-def _response_cost(response: httpx.Response) -> tuple[float, str]:
-    headers: Final = response.headers
-    if "x-litellm-response-cost" in headers:
-        return float(headers["x-litellm-response-cost"]), "x-litellm-response-cost"
-    call_id: Final = headers["x-litellm-call-id"]
-    assert isinstance(call_id, str)
-    rows: Final = eventually(
-        lambda: read_rows('SELECT spend FROM "LiteLLM_SpendLogs" WHERE request_id=%s', (call_id,)),
-        lambda values: len(values) == 1,
-        seconds=70,
-    )
-    spend: Final = rows[0]["spend"]
-    assert isinstance(spend, (int, float, str))
-    return float(spend), "LiteLLM_SpendLogs.spend"
+def _response_cost(response: httpx.Response) -> float:
+    return float(response.headers["x-litellm-response-cost"])
 
 
 def _approx(value: float) -> object:
@@ -97,7 +68,7 @@ def test_fal_gpt_image_25_generation_sends_quality_and_size_and_charges_keyed_ro
         assert request.target == "/openai/gpt-image-2.5/flare/text-to-image"
         body: Final = _JSON_OBJECT.validate_json(request.body)
         if body.get("quality") == "high":
-            assert body == {"prompt": _PROMPT, "quality": "high", "image_size": {"width": 1536, "height": 1024}}
+            assert body == {"prompt": _PROMPT, "quality": "high", "image_size": {"width": 1024, "height": 1536}}
             return Reply(body=_image_response((f"{wire_url}/files/high.png",), _PROMPT))
         assert body == {"prompt": _PROMPT, "quality": "low"}
         return Reply(body=_image_response((f"{wire_url}/files/low.png",), _PROMPT))
@@ -110,12 +81,13 @@ def test_fal_gpt_image_25_generation_sends_quality_and_size_and_charges_keyed_ro
         high_response: Final = gateway.request(
             "POST",
             "/v1/images/generations",
-            {"model": model, "prompt": _PROMPT, "quality": "high", "size": "1536x1024"},
+            {"model": model, "prompt": _PROMPT, "quality": "high", "size": "1024x1536"},
         )
         assert high_response.status_code == 200, high_response.text
-        assert _image_urls(high_response) == (f"{wire.url}/files/high.png",)
-        high_cost, high_cost_path = _response_cost(high_response)
-        assert high_cost == _approx(_catalog_cost("fal_ai/high/1536-x-1024/openai/gpt-image-2.5/flare/text-to-image"))
+        high_payload: Final = _JSON_OBJECT.validate_json(high_response.content)
+        assert high_payload["data"] == [{"url": f"{wire.url}/files/high.png", "b64_json": None, "revised_prompt": None}]
+        high_cost: Final = _response_cost(high_response)
+        assert high_cost == _approx(_catalog_cost("fal_ai/high/1024-x-1536/openai/gpt-image-2.5/flare/text-to-image"))
 
         low_response: Final = gateway.request(
             "POST",
@@ -123,12 +95,11 @@ def test_fal_gpt_image_25_generation_sends_quality_and_size_and_charges_keyed_ro
             {"model": model, "prompt": _PROMPT, "quality": "low"},
         )
         assert low_response.status_code == 200, low_response.text
-        assert _image_urls(low_response) == (f"{wire.url}/files/low.png",)
-        low_cost, low_cost_path = _response_cost(low_response)
+        low_payload: Final = _JSON_OBJECT.validate_json(low_response.content)
+        assert low_payload["data"] == [{"url": f"{wire.url}/files/low.png", "b64_json": None, "revised_prompt": None}]
+        low_cost: Final = _response_cost(low_response)
         assert low_cost == _approx(_catalog_cost("fal_ai/low/1024-x-768/openai/gpt-image-2.5/flare/text-to-image"))
         assert high_cost != low_cost
-        assert high_cost_path in ("x-litellm-response-cost", "LiteLLM_SpendLogs.spend")
-        assert low_cost_path in ("x-litellm-response-cost", "LiteLLM_SpendLogs.spend")
         assert [(request.method, request.target) for request in wire.drain()] == [
             ("POST", "/openai/gpt-image-2.5/flare/text-to-image"),
             ("POST", "/openai/gpt-image-2.5/flare/text-to-image"),
@@ -162,13 +133,13 @@ def test_fal_flux_dev_generation_targets_dev_endpoint_and_charges_per_image(gate
             {"model": model, "prompt": _PROMPT, "n": 2, "size": "1024x1024"},
         )
         assert response.status_code == 200, response.text
-        assert _image_urls(response) == (
-            f"{wire.url}/files/flux-1.png",
-            f"{wire.url}/files/flux-2.png",
-        )
-        cost, cost_path = _response_cost(response)
+        payload: Final = _JSON_OBJECT.validate_json(response.content)
+        assert payload["data"] == [
+            {"url": f"{wire.url}/files/flux-1.png", "b64_json": None, "revised_prompt": None},
+            {"url": f"{wire.url}/files/flux-2.png", "b64_json": None, "revised_prompt": None},
+        ]
+        cost: Final = _response_cost(response)
         assert cost == _approx(2 * _catalog_cost("fal_ai/fal-ai/flux/dev"))
-        assert cost_path in ("x-litellm-response-cost", "LiteLLM_SpendLogs.spend")
         assert [(request.method, request.target) for request in wire.drain()] == [("POST", "/fal-ai/flux/dev")]
 
 
@@ -196,10 +167,10 @@ def test_fal_gpt_image_25_edit_inlines_upload_as_data_url_and_charges_keyed_row(
             headers={"Authorization": f"Bearer {gateway.key}"},
         )
         assert response.status_code == 200, response.text
-        assert _image_urls(response) == (f"{wire.url}/files/edit.png",)
-        cost, cost_path = _response_cost(response)
+        payload: Final = _JSON_OBJECT.validate_json(response.content)
+        assert payload["data"] == [{"url": f"{wire.url}/files/edit.png", "b64_json": None, "revised_prompt": None}]
+        cost: Final = _response_cost(response)
         assert cost == _approx(_catalog_cost("fal_ai/low/1024-x-768/openai/gpt-image-2.5/flare/edit"))
-        assert cost_path in ("x-litellm-response-cost", "LiteLLM_SpendLogs.spend")
         assert [(request.method, request.target) for request in wire.drain()] == [
             ("POST", "/openai/gpt-image-2.5/flare/edit")
         ]