diff --git a/litellm/__init__.py b/litellm/__init__.py
index fea7a27a5fb..ea9613e59a5 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -638,6 +638,7 @@ fal_ai_models: Set = set()
 fireworks_ai_models: Set = set()
 fireworks_ai_embedding_models: Set = set()
 deepinfra_models: Set = set()
+compactifai_models: Final[Set[str]] = set()
 perplexity_models: Set = set()
 watsonx_models: Set = set()
 gemini_models: Set = set()
@@ -840,6 +841,8 @@ def _populate_provider_model_sets(model_cost_map: Dict) -> None:
             bedrock_converse_models.add(key)
         elif value.get("litellm_provider") == "deepinfra":
             deepinfra_models.add(key)
+        elif value.get("litellm_provider") == "compactifai":
+            compactifai_models.add(key)
         elif value.get("litellm_provider") == "perplexity":
             perplexity_models.add(key)
         elif value.get("litellm_provider") == "watsonx":
@@ -1066,6 +1069,7 @@ model_list = list(
     | set(ollama_models)
     | bedrock_models
     | deepinfra_models
+    | compactifai_models
     | perplexity_models
     | set(maritalk_models)
     | runwayml_models
@@ -1171,6 +1175,7 @@ def _build_models_by_provider() -> dict:
         "ollama": ollama_models,
         "ollama_chat": ollama_models,
         "deepinfra": deepinfra_models,
+        "compactifai": compactifai_models,
         "perplexity": perplexity_models,
         "maritalk": maritalk_models,
         "watsonx": watsonx_models,
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 2d0985bcb64..5085054922f 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -80004,5 +80004,48 @@
         "supports_tool_choice": true,
         "supports_video_input": false,
         "supports_vision": false
+    },
+    "compactifai/glm-5-2": {
+        "input_cost_per_token": 1.1e-06,
+        "litellm_provider": "compactifai",
+        "mode": "chat",
+        "output_cost_per_token": 3.5e-06,
+        "reasoning_effort_levels": [
+            "high",
+            "max"
+        ],
+        "source": "https://docs.compactif.ai/pricing/",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true
+    },
+    "compactifai/glm-5-3": {
+        "input_cost_per_token": 1.1e-06,
+        "litellm_provider": "compactifai",
+        "mode": "chat",
+        "output_cost_per_token": 3.5e-06,
+        "reasoning_effort_levels": [
+            "low",
+            "high",
+            "max"
+        ],
+        "source": "https://docs.compactif.ai/pricing/",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true
+    },
+    "compactifai/quasar-438b": {
+        "input_cost_per_token": 6e-07,
+        "litellm_provider": "compactifai",
+        "mode": "chat",
+        "output_cost_per_token": 1.8e-06,
+        "reasoning_effort_levels": [
+            "high",
+            "max"
+        ],
+        "source": "https://docs.compactif.ai/pricing/",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true
     }
 }
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 2d0985bcb64..5085054922f 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -80004,5 +80004,48 @@
         "supports_tool_choice": true,
         "supports_video_input": false,
         "supports_vision": false
+    },
+    "compactifai/glm-5-2": {
+        "input_cost_per_token": 1.1e-06,
+        "litellm_provider": "compactifai",
+        "mode": "chat",
+        "output_cost_per_token": 3.5e-06,
+        "reasoning_effort_levels": [
+            "high",
+            "max"
+        ],
+        "source": "https://docs.compactif.ai/pricing/",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true
+    },
+    "compactifai/glm-5-3": {
+        "input_cost_per_token": 1.1e-06,
+        "litellm_provider": "compactifai",
+        "mode": "chat",
+        "output_cost_per_token": 3.5e-06,
+        "reasoning_effort_levels": [
+            "low",
+            "high",
+            "max"
+        ],
+        "source": "https://docs.compactif.ai/pricing/",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true
+    },
+    "compactifai/quasar-438b": {
+        "input_cost_per_token": 6e-07,
+        "litellm_provider": "compactifai",
+        "mode": "chat",
+        "output_cost_per_token": 1.8e-06,
+        "reasoning_effort_levels": [
+            "high",
+            "max"
+        ],
+        "source": "https://docs.compactif.ai/pricing/",
+        "supports_function_calling": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true
     }
 }
diff --git a/tests/unit/test_cost_calculator.py b/tests/unit/test_cost_calculator.py
index 9a7c22f6f82..b9af26cd0a6 100644
--- a/tests/unit/test_cost_calculator.py
+++ b/tests/unit/test_cost_calculator.py
@@ -40,7 +40,7 @@ from litellm.types.utils import (
     Usage,
 )
 from litellm.types.videos.main import VideoObject
-from litellm.utils import supports_prompt_caching
+from litellm.utils import get_valid_models, supports_prompt_caching
 
 
 @pytest.fixture
@@ -49,6 +49,28 @@ def _local_model_cost_map(monkeypatch: pytest.MonkeyPatch) -> None:
     monkeypatch.setattr(litellm, "model_cost", litellm.get_model_cost_map(url=""))
 
 
+@pytest.mark.parametrize("model", ("glm-5-2", "glm-5-3", "quasar-438b"))
+def test_compactifai_response_cost_uses_provider_catalog(model: str, _local_model_cost_map: None) -> None:
+    assert f"compactifai/{model}" in get_valid_models(custom_llm_provider="compactifai")
+    model_info: Final = litellm.get_model_info(model=model, custom_llm_provider="compactifai")
+    input_rate: Final = model_info.get("input_cost_per_token")
+    output_rate: Final = model_info.get("output_cost_per_token")
+    assert input_rate is not None and input_rate > 0
+    assert output_rate is not None and output_rate > 0
+
+    response: Final = ModelResponse(
+        model=f"compactifai/{model}",
+        choices=[],
+        usage=Usage(prompt_tokens=100, completion_tokens=50, total_tokens=150),
+    )
+    assert completion_cost(completion_response=response, custom_llm_provider="compactifai") == pytest.approx(
+        100 * input_rate + 50 * output_rate
+    )
+    assert cost_per_token(
+        model=model, prompt_tokens=100, completion_tokens=50, custom_llm_provider="compactifai"
+    ) == pytest.approx((100 * input_rate, 50 * output_rate))
+
+
 def test_cost_per_token_duplicate_openai_prefix_matches_model_cost(monkeypatch):
     """
     Router/proxy configs may use deployment ids like openai/openai/<model>. Cost lookup must