diff --git a/basedpyright-code-budget.json b/basedpyright-code-budget.json
index 225a2c04339..db49ae8f48b 100644
--- a/basedpyright-code-budget.json
+++ b/basedpyright-code-budget.json
@@ -105,13 +105,13 @@
     "limit": 109
   },
   "reportUnknownMemberType": {
-    "limit": 38808
+    "limit": 38804
   },
   "reportUnknownParameterType": {
     "limit": 19829
   },
   "reportUnknownVariableType": {
-    "limit": 30356
+    "limit": 30355
   },
   "reportUnnecessaryCast": {
     "limit": 117
diff --git a/ci_cd/generate_model_prices_schema.py b/ci_cd/generate_model_prices_schema.py
index b2bc3ebadb4..276e5da5a23 100644
--- a/ci_cd/generate_model_prices_schema.py
+++ b/ci_cd/generate_model_prices_schema.py
@@ -157,6 +157,9 @@ COST_DESCRIPTIONS: dict[str, str] = {
     "input_cost_per_token": "USD per prompt token.",
     "output_cost_per_token": "USD per generated token.",
     "output_cost_per_reasoning_token": "USD per reasoning/thinking token, when billed separately.",
+    "google_maps_grounding_cost_per_query": (
+        "USD per Grounding with Google Maps request; billed per query or per prompt per web_search_billing_unit."
+    ),
     "cache_creation_input_token_cost": "USD per token written to the provider's prompt cache.",
     "cache_read_input_token_cost": "USD per prompt token served from the provider's prompt cache.",
     "input_cost_per_token_batches": "USD per prompt token via the provider's batch API.",
diff --git a/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py b/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py
index 887f167c262..875e4e156c7 100644
--- a/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py
+++ b/litellm/litellm_core_utils/llm_cost_calc/tool_call_cost_tracking.py
@@ -64,11 +64,17 @@ class StandardBuiltInToolCostTracking:
         """
         standard_built_in_tools_params = standard_built_in_tools_params or {}
 
+        google_maps_grounding_cost: Final = StandardBuiltInToolCostTracking._handle_google_maps_grounding_cost(
+            model=model,
+            custom_llm_provider=custom_llm_provider,
+            usage=usage,
+        )
+
         # Handle web search
         if StandardBuiltInToolCostTracking.response_object_includes_web_search_call(
             response_object=response_object, usage=usage
         ):
-            return StandardBuiltInToolCostTracking._handle_web_search_cost(
+            return google_maps_grounding_cost + StandardBuiltInToolCostTracking._handle_web_search_cost(
                 model=model,
                 custom_llm_provider=custom_llm_provider,
                 usage=usage,
@@ -78,19 +84,56 @@ class StandardBuiltInToolCostTracking:
 
         # Handle file search
         if StandardBuiltInToolCostTracking.response_object_includes_file_search_call(response_object=response_object):
-            return StandardBuiltInToolCostTracking._handle_file_search_cost(
+            return google_maps_grounding_cost + StandardBuiltInToolCostTracking._handle_file_search_cost(
                 model=model,
                 custom_llm_provider=custom_llm_provider,
                 standard_built_in_tools_params=standard_built_in_tools_params,
             )
 
         # Handle Azure assistant features
-        return StandardBuiltInToolCostTracking._handle_azure_assistant_costs(
+        return google_maps_grounding_cost + StandardBuiltInToolCostTracking._handle_azure_assistant_costs(
             model=model,
             custom_llm_provider=custom_llm_provider,
             standard_built_in_tools_params=standard_built_in_tools_params,
         )
 
+    @staticmethod
+    def _resolve_model_info(model: str, custom_llm_provider: str | None) -> tuple[ModelInfo | None, str | None]:
+        direct: Final = StandardBuiltInToolCostTracking._safe_get_model_info(
+            model=model, custom_llm_provider=custom_llm_provider
+        )
+        if direct is not None:
+            return direct, custom_llm_provider or direct["litellm_provider"]
+        if "/" not in model:
+            return None, custom_llm_provider
+        by_prefix: Final = StandardBuiltInToolCostTracking._safe_get_model_info(model=model)
+        if by_prefix is None:
+            return None, custom_llm_provider
+        return by_prefix, by_prefix["litellm_provider"]
+
+    @staticmethod
+    def _handle_google_maps_grounding_cost(
+        model: str,
+        custom_llm_provider: str | None,
+        usage: Usage | None,
+    ) -> float:
+        from litellm.llms import get_cost_for_google_maps_grounding_request
+        from litellm.llms.gemini.cost_calculator import google_maps_grounding_requests
+
+        if usage is None or google_maps_grounding_requests(usage) is None:
+            return 0.0
+        model_info, resolved_provider = StandardBuiltInToolCostTracking._resolve_model_info(
+            model=model, custom_llm_provider=custom_llm_provider
+        )
+        if model_info is None or resolved_provider is None:
+            return 0.0
+        return (
+            get_cost_for_google_maps_grounding_request(
+                custom_llm_provider=resolved_provider, usage=usage, model_info=model_info
+            )
+            or 0.0
+        )
+
     @staticmethod
     def _handle_web_search_cost(
         model: str,
@@ -102,29 +145,21 @@ class StandardBuiltInToolCostTracking:
         """Handle web search cost calculation."""
         from litellm.llms import get_cost_for_web_search_request
 
-        model_info = StandardBuiltInToolCostTracking._safe_get_model_info(
+        # A provider-prefixed model (e.g. gemini/gemini-3.1-flash-lite) may not map under the
+        # request's custom_llm_provider. _resolve_model_info re-resolves from the prefix and adopts
+        # that provider so the cost is routed and priced with the model_info that was actually
+        # resolved, instead of feeding a re-resolved model into the original provider's calculator.
+        model_info, resolved_provider = StandardBuiltInToolCostTracking._resolve_model_info(
             model=model, custom_llm_provider=custom_llm_provider
         )
 
-        # A provider-prefixed model (e.g. gemini/gemini-3.1-flash-lite) may not map under the
-        # request's custom_llm_provider. Re-resolve from the prefix and adopt that provider so the
-        # cost is routed and priced with the model_info that was actually resolved, instead of
-        # feeding a re-resolved model into the original provider's calculator.
-        if model_info is None and "/" in model:
-            model_info = StandardBuiltInToolCostTracking._safe_get_model_info(model=model)
-            if model_info is not None:
-                custom_llm_provider = model_info["litellm_provider"]
-
-        if custom_llm_provider is None and model_info is not None:
-            custom_llm_provider = model_info["litellm_provider"]
-
         resolved_usage: Final = StandardBuiltInToolCostTracking._usage_with_anthropic_web_search(
             usage=usage, response_object=response_object
         )
 
-        if model_info is not None and resolved_usage is not None and custom_llm_provider is not None:
+        if model_info is not None and resolved_usage is not None and resolved_provider is not None:
             result: Final = get_cost_for_web_search_request(
-                custom_llm_provider=custom_llm_provider,
+                custom_llm_provider=resolved_provider,
                 usage=resolved_usage,
                 model_info=model_info,
             )
diff --git a/litellm/litellm_core_utils/ptu_pricing.py b/litellm/litellm_core_utils/ptu_pricing.py
index 021210d9175..f545ba4aa3b 100644
--- a/litellm/litellm_core_utils/ptu_pricing.py
+++ b/litellm/litellm_core_utils/ptu_pricing.py
@@ -28,6 +28,7 @@ PTU_ZEROED_PRICING_FIELDS: Final = tuple(f for f in MirroredPricingParams.model_
     "cache_creation_input_token_cost_above_1hr",
     "cache_creation_input_token_cost_above_200k_tokens",
     "cache_read_input_token_cost_above_200k_tokens",
+    "google_maps_grounding_cost_per_query",
 )
 # tiered_pricing is emptied rather than zeroed: its tiers outrank the zeros written beside
 # them, so a zero here would leave the cost map's tiers billing the traffic the reserved
diff --git a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
index ee0518c4aec..33f939b4b95 100644
--- a/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
+++ b/litellm/litellm_core_utils/streaming_chunk_builder_utils.py
@@ -173,6 +173,27 @@ def attach_cache_creation_token_details(
     return prompt_tokens_details.model_copy(update={"cache_creation_token_details": cache_creation_token_details})
 
 
+def apply_grounding_request_counts(
+    prompt_tokens_details: PromptTokensDetailsWrapper | None,
+    web_search_requests: int | None,
+    google_maps_grounding_requests: int | None,
+) -> PromptTokensDetailsWrapper | None:
+    updates: Final = MappingProxyType(
+        {
+            field: value
+            for field, value in (
+                ("web_search_requests", web_search_requests),
+                ("google_maps_grounding_requests", google_maps_grounding_requests),
+            )
+            if value is not None
+        }
+    )
+    if not updates:
+        return prompt_tokens_details
+    counted: Final = prompt_tokens_details if prompt_tokens_details is not None else PromptTokensDetailsWrapper()
+    return counted.model_copy(update=updates)
+
+
 class ChunkProcessor:
     def __init__(self, chunks: list, messages: list | None = None):
         self.chunks = self._sort_chunks(chunks)
@@ -778,6 +799,7 @@ class ChunkProcessor:
 
         server_tool_use: ServerToolUse | None = None
         web_search_requests: int | None = None
+        google_maps_grounding_requests: int | None = None
         completion_tokens_details: CompletionTokensDetails | None = None
         prompt_tokens_details: PromptTokensDetailsWrapper | None = None
         # Anthropic emits the cache-creation TTL breakdown (5m/1h split) only on
@@ -827,6 +849,13 @@ class ChunkProcessor:
                     )
                     if chunk_web_search_requests is not None:
                         web_search_requests = chunk_web_search_requests
+                    chunk_google_maps_grounding_requests: int | None = getattr(
+                        usage_chunk_dict["prompt_tokens_details"],
+                        "google_maps_grounding_requests",
+                        None,
+                    )
+                    if chunk_google_maps_grounding_requests is not None:
+                        google_maps_grounding_requests = chunk_google_maps_grounding_requests
 
                 prompt_tokens_details = usage_chunk_dict["prompt_tokens_details"] or prompt_tokens_details
 
@@ -852,6 +881,7 @@ class ChunkProcessor:
             cache_read_input_tokens=cache_read_input_tokens,
             server_tool_use=server_tool_use,
             web_search_requests=web_search_requests,
+            google_maps_grounding_requests=google_maps_grounding_requests,
             completion_tokens_details=completion_tokens_details,
             prompt_tokens_details=prompt_tokens_details,
             cost=cost,
@@ -939,6 +969,7 @@ class ChunkProcessor:
 
         server_tool_use: Final[ServerToolUse | None] = calculated_usage_per_chunk["server_tool_use"]
         web_search_requests: Final[int | None] = calculated_usage_per_chunk["web_search_requests"]
+        google_maps_grounding_requests: Final[int | None] = calculated_usage_per_chunk["google_maps_grounding_requests"]
         completion_tokens_details: Final[CompletionTokensDetails | None] = calculated_usage_per_chunk[
             "completion_tokens_details"
         ]
@@ -998,13 +1029,11 @@ class ChunkProcessor:
 
         if server_tool_use is not None:
             returned_usage.server_tool_use = server_tool_use
-        if web_search_requests is not None:
-            if returned_usage.prompt_tokens_details is None:
-                returned_usage.prompt_tokens_details = PromptTokensDetailsWrapper(
-                    web_search_requests=web_search_requests
-                )
-            else:
-                returned_usage.prompt_tokens_details.web_search_requests = web_search_requests
+        returned_usage.prompt_tokens_details = apply_grounding_request_counts(
+            returned_usage.prompt_tokens_details,
+            web_search_requests,
+            google_maps_grounding_requests,
+        )
 
         if cost is not None:
             setattr(returned_usage, "cost", cost)
diff --git a/litellm/llms/__init__.py b/litellm/llms/__init__.py
index c178ad12a0f..88a44f38c57 100644
--- a/litellm/llms/__init__.py
+++ b/litellm/llms/__init__.py
@@ -14,6 +14,21 @@ if TYPE_CHECKING:
     from litellm.types.utils import ModelInfo, Usage
 
 
+def get_cost_for_google_maps_grounding_request(
+    custom_llm_provider: str, usage: "Usage", model_info: "ModelInfo"
+) -> float | None:
+    """
+    Get the cost of Grounding with Google Maps for a given model. Only Gemini models on the
+    Gemini API and Vertex AI can populate the Maps grounding counter, so every other provider
+    returns None.
+    """
+    if custom_llm_provider != "gemini" and not custom_llm_provider.startswith("vertex_ai"):
+        return None
+    from .gemini.cost_calculator import cost_per_google_maps_grounding_request
+
+    return cost_per_google_maps_grounding_request(usage=usage, model_info=model_info)
+
+
 def get_cost_for_web_search_request(custom_llm_provider: str, usage: "Usage", model_info: "ModelInfo") -> float | None:
     """
     Get the cost for a web search request for a given model.
diff --git a/litellm/llms/gemini/cost_calculator.py b/litellm/llms/gemini/cost_calculator.py
index a041ef40622..94326f0e657 100644
--- a/litellm/llms/gemini/cost_calculator.py
+++ b/litellm/llms/gemini/cost_calculator.py
@@ -61,3 +61,42 @@ def cost_per_web_search_request(usage: "Usage", model_info: "ModelInfo") -> floa
         number_of_web_search_requests = 1
 
     return _cost * number_of_web_search_requests
+
+
+GOOGLE_MAPS_GROUNDING_DEFAULT_COST_PER_QUERY: Final = 14e-3
+GOOGLE_MAPS_GROUNDING_DEFAULT_COST_PER_PROMPT: Final = 25e-3
+
+
+def google_maps_grounding_requests(usage: "Usage | None") -> int | None:
+    from litellm.types.utils import PromptTokensDetailsWrapper
+
+    details: Final = usage.prompt_tokens_details if usage is not None else None
+    if not isinstance(details, PromptTokensDetailsWrapper) or not hasattr(details, "google_maps_grounding_requests"):
+        return None
+    return details.google_maps_grounding_requests
+
+
+def cost_per_google_maps_grounding_request(usage: "Usage", model_info: "ModelInfo") -> float:
+    """
+    Calculates the cost of Grounding with Google Maps.
+
+    Billing follows ``web_search_billing_unit`` in model_info the same way Google Search grounding
+    does: ``"per_query"`` (Gemini 3.x) multiplies the executed Maps queries, ``"per_prompt"``
+    (default, Gemini 2.x) charges one flat fee per grounded prompt.
+
+    The rate comes from ``google_maps_grounding_cost_per_query`` in ``model_info``, falling back
+    to Google's list price for that billing unit when the pricing JSON has no entry yet.
+    """
+    requests: Final = google_maps_grounding_requests(usage)
+    if not requests or requests <= 0:
+        return 0.0
+    billing_mode: Final = model_info.get("web_search_billing_unit") or "per_prompt"
+    default_cost: Final = (
+        GOOGLE_MAPS_GROUNDING_DEFAULT_COST_PER_QUERY
+        if billing_mode == "per_query"
+        else GOOGLE_MAPS_GROUNDING_DEFAULT_COST_PER_PROMPT
+    )
+    configured_cost: Final = model_info.get("google_maps_grounding_cost_per_query")
+    cost: Final = default_cost if configured_cost is None else configured_cost
+    billed_requests: Final = requests if billing_mode == "per_query" else 1
+    return cost * billed_requests
diff --git a/litellm/llms/vertex_ai/gemini/grounding_requests.py b/litellm/llms/vertex_ai/gemini/grounding_requests.py
new file mode 100644
index 00000000000..40acd9378df
--- /dev/null
+++ b/litellm/llms/vertex_ai/gemini/grounding_requests.py
@@ -0,0 +1,56 @@
+from collections.abc import Mapping, Sequence
+from dataclasses import dataclass
+from typing import Final
+
+
+@dataclass(frozen=True, slots=True)
+class GroundingRequests:
+    web_search_requests: int | None
+    google_maps_grounding_requests: int | None
+
+    def has_billable_grounding(self) -> bool:
+        return bool(self.web_search_requests or self.google_maps_grounding_requests)
+
+
+def _chunk_kinds(item: Mapping[str, object]) -> frozenset[str]:
+    chunks: Final = item.get("groundingChunks")
+    if not isinstance(chunks, list):
+        return frozenset()
+    return frozenset(kind for chunk in chunks if isinstance(chunk, Mapping) for kind in chunk)
+
+
+def _queries(item: Mapping[str, object]) -> frozenset[str]:
+    queries: Final = item.get("webSearchQueries")
+    if not isinstance(queries, list):
+        return frozenset()
+    return frozenset(query for query in queries if isinstance(query, str) and query)
+
+
+def _is_maps_item(item: Mapping[str, object]) -> bool:
+    return "maps" in _chunk_kinds(item) or bool(item.get("googleMapsWidgetContextToken"))
+
+
+def _attributes_queries_to_maps(item: Mapping[str, object]) -> bool:
+    return _is_maps_item(item) and "web" not in _chunk_kinds(item)
+
+
+def calculate_grounding_requests(grounding_metadata: Sequence[Mapping[str, object]]) -> GroundingRequests:
+    """Billable grounding requests across candidates, counting each distinct query once.
+
+    Duplicate queries within and across grounding metadata items collapse to the
+    distinct-query count (#36377), and empty strings are ignored. Maps grounding is
+    floored at one request whenever a candidate carries maps chunks or a widget token,
+    since per-prompt billing charges the prompt even when no query is reported.
+    """
+    items: Final = tuple(item for item in grounding_metadata if isinstance(item, Mapping))
+    web_queries: Final = frozenset(
+        query for item in items if not _attributes_queries_to_maps(item) for query in _queries(item)
+    )
+    maps_queries: Final = frozenset(
+        query for item in items if _attributes_queries_to_maps(item) for query in _queries(item)
+    )
+    has_maps: Final = any(_is_maps_item(item) for item in items)
+    return GroundingRequests(
+        web_search_requests=len(web_queries) or None,
+        google_maps_grounding_requests=max(len(maps_queries), 1) if has_maps else None,
+    )
diff --git a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
index ccc86ef9ece..d8b1e7ba17c 100644
--- a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
+++ b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
@@ -89,6 +89,7 @@ from ..common_utils import (
     supports_response_json_schema,
 )
 from ..vertex_llm_base import VertexBase
+from .grounding_requests import calculate_grounding_requests
 from .transformation import (
     _gemini_convert_messages_with_history,
     async_transform_request_body,
@@ -1717,14 +1718,15 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
         completion_response: GenerateContentResponseBody | BidiGenerateContentServerMessage,
     ) -> bool:
         """
-        Whether the response used Grounding with Google Search, detected via
-        groundingMetadata.webSearchQueries (an actual web search was performed).
+        Whether the response used Grounding with Google Search or Grounding with Google Maps,
+        detected via groundingMetadata.webSearchQueries (an actual web search was performed) or
+        groundingMetadata.groundingChunks[].maps (a Maps lookup was performed).
 
-        Google bills grounding-with-Google-Search retrieved tokens separately (a per-request /
-        per-query search fee) and excludes them from input token billing, unlike URL context /
-        File Search / code execution whose tool-use tokens are charged at the input token rate.
-        URL context also emits groundingMetadata (with groundingChunks but no webSearchQueries),
-        so presence of groundingMetadata alone is not a sufficient signal.
+        Google bills both groundings separately (a per-request / per-query fee) and excludes their
+        retrieved tokens from input token billing, unlike URL context / File Search / code execution
+        whose tool-use tokens are charged at the input token rate. URL context also emits
+        groundingMetadata (with web groundingChunks but no webSearchQueries), so presence of
+        groundingMetadata alone is not a sufficient signal.
         See https://ai.google.dev/gemini-api/docs/pricing and
         https://github.com/BerriAI/litellm/discussions/33198
         """
@@ -1732,7 +1734,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
             return False
         for candidate in completion_response["candidates"] or []:
             grounding_metadata, _, _, _ = VertexGeminiConfig._extract_candidate_metadata(candidate)
-            if VertexGeminiConfig._calculate_web_search_requests(grounding_metadata):
+            if calculate_grounding_requests(grounding_metadata).has_billable_grounding():
                 return True
         return False
 
@@ -1979,15 +1981,16 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
 
     @staticmethod
     def _calculate_web_search_requests(grounding_metadata: list[dict]) -> int | None:
-        if not (grounding_metadata and isinstance(grounding_metadata, list)):
-            return None
-        unique_queries: Final = {
-            query
-            for grounding_metadata_item in grounding_metadata
-            for query in (grounding_metadata_item.get("webSearchQueries") or [])
-            if query
-        }
-        return len(unique_queries) or None
+        return calculate_grounding_requests(grounding_metadata).web_search_requests
+
+    @staticmethod
+    def _set_grounding_usage_counters(usage: Usage, grounding_metadata: Sequence[Mapping[str, object]]) -> None:
+        grounding_requests: Final = calculate_grounding_requests(grounding_metadata)
+        details: Final = cast(PromptTokensDetailsWrapper, usage.prompt_tokens_details)
+        if grounding_requests.web_search_requests is not None:
+            details.web_search_requests = grounding_requests.web_search_requests
+        if grounding_requests.google_maps_grounding_requests is not None:
+            details.google_maps_grounding_requests = grounding_requests.google_maps_grounding_requests
 
     @staticmethod
     def _create_streaming_choice(
@@ -2453,9 +2456,7 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
 
             usage: Final = VertexGeminiConfig._calculate_usage(completion_response=completion_response)
 
-            web_search_requests: Final = VertexGeminiConfig._calculate_web_search_requests(grounding_metadata)
-            if web_search_requests is not None:
-                cast(PromptTokensDetailsWrapper, usage.prompt_tokens_details).web_search_requests = web_search_requests
+            VertexGeminiConfig._set_grounding_usage_counters(usage, grounding_metadata)
 
             setattr(model_response, "usage", usage)
 
@@ -3220,9 +3221,7 @@ class ModelResponseIterator:
             completion_response=processed_chunk,
         )
 
-        web_search_requests: Final = VertexGeminiConfig._calculate_web_search_requests(grounding_metadata)
-        if web_search_requests is not None:
-            cast(PromptTokensDetailsWrapper, usage.prompt_tokens_details).web_search_requests = web_search_requests
+        VertexGeminiConfig._set_grounding_usage_counters(usage, grounding_metadata)
 
         traffic_type: Final = processed_chunk.get("usageMetadata", {}).get("trafficType")
         if traffic_type:
diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index a6da2c1fb09..ad19818a5ce 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -19796,6 +19796,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini-2.5-flash-image": {
@@ -20085,7 +20086,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-3.1-flash-lite": {
         "deprecation_date": "2027-05-07",
@@ -20142,7 +20144,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-3.5-flash-lite": {
         "deprecation_date": "2027-07-21",
@@ -20198,7 +20201,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "deep-research-pro-preview-12-2025": {
         "input_cost_per_image": 0.0011,
@@ -20278,6 +20282,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini-2.5-flash-lite-preview-09-2025": {
@@ -20323,6 +20328,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini-2.5-flash-preview-09-2025": {
@@ -20368,6 +20374,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini-live-2.5-flash-preview-native-audio-09-2025": {
@@ -20504,6 +20511,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini-2.5-pro": {
@@ -20549,7 +20557,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini-3-pro-preview": {
         "deprecation_date": "2026-03-26",
@@ -20663,7 +20672,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-3.1-pro-preview-customtools": {
         "prompt_cache_min_tokens": 4096,
@@ -20715,7 +20725,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3-pro-preview": {
         "cache_read_input_token_cost": 2e-07,
@@ -20818,7 +20829,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3.5-flash": {
         "prompt_cache_min_tokens": 4096,
@@ -20873,6 +20885,7 @@
             "search_context_size_high": 0.014
         },
         "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014,
         "input_cost_per_token_batches": 7.5e-07,
         "output_cost_per_token_batches": 4.5e-06,
         "input_cost_per_token_flex": 7.5e-07,
@@ -20933,7 +20946,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3.7-flash": {
         "prompt_cache_min_tokens": 4096,
@@ -20989,7 +21003,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3.1-pro-preview": {
         "prompt_cache_min_tokens": 4096,
@@ -21047,7 +21062,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3.1-pro-preview-customtools": {
         "prompt_cache_min_tokens": 4096,
@@ -21105,7 +21121,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-2.5-pro-preview-tts": {
         "cache_read_input_token_cost": 1.25e-07,
@@ -21644,6 +21661,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini/gemini-2.5-flash-image": {
@@ -21991,6 +22009,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini/gemini-2.5-flash-lite-preview-09-2025": {
@@ -22039,6 +22058,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini/gemini-2.5-flash-preview-09-2025": {
@@ -22087,6 +22107,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini/gemini-flash-latest": {
@@ -22133,7 +22154,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini/gemini-flash-lite-latest": {
         "cache_read_input_token_cost": 2.5e-08,
@@ -22179,7 +22201,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini/gemini-2.5-flash-lite-preview-06-17": {
         "deprecation_date": "2025-11-18",
@@ -22227,6 +22250,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini/gemini-2.5-flash-preview-tts": {
@@ -22288,7 +22312,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini/gemini-2.5-computer-use-preview-10-2025": {
         "input_cost_per_token": 1.25e-06,
@@ -22425,7 +22450,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-3.1-flash-lite": {
         "cache_read_input_token_cost": 2.5e-08,
@@ -22484,7 +22510,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-3.5-flash-lite": {
         "cache_read_input_token_cost": 3e-08,
@@ -22541,7 +22568,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-3-flash-preview": {
         "cache_read_input_token_cost": 5e-08,
@@ -22593,7 +22621,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-3.5-flash": {
         "prompt_cache_min_tokens": 4096,
@@ -22649,6 +22678,7 @@
             "search_context_size_high": 0.014
         },
         "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014,
         "input_cost_per_token_batches": 7.5e-07,
         "output_cost_per_token_batches": 4.5e-06,
         "input_cost_per_token_flex": 7.5e-07,
@@ -22711,7 +22741,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-3.7-flash": {
         "prompt_cache_min_tokens": 4096,
@@ -22769,7 +22800,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-omni-flash-preview": {
         "input_cost_per_audio_token": 1.5e-06,
@@ -22860,7 +22892,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-3.1-pro-preview-customtools": {
         "prompt_cache_min_tokens": 4096,
@@ -22918,7 +22951,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-3-flash-preview": {
         "cache_read_input_token_cost": 5e-08,
@@ -22968,7 +23002,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-omni-flash-preview": {
         "input_cost_per_audio_token": 1.5e-06,
@@ -23054,6 +23089,7 @@
             "search_context_size_high": 0.014
         },
         "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014,
         "input_cost_per_token_batches": 7.5e-07,
         "output_cost_per_token_batches": 4.5e-06,
         "input_cost_per_token_flex": 7.5e-07,
@@ -23114,7 +23150,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-3.7-flash": {
         "prompt_cache_min_tokens": 4096,
@@ -23170,7 +23207,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-2.5-pro-preview-tts": {
         "cache_read_input_token_cost": 1.25e-07,
@@ -41924,7 +41962,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3.1-flash-lite": {
         "deprecation_date": "2027-05-07",
@@ -41982,7 +42021,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3.5-flash-lite": {
         "deprecation_date": "2027-07-21",
@@ -42039,7 +42079,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/deep-research-pro-preview-12-2025": {
         "input_cost_per_image": 0.0011,
@@ -49135,7 +49176,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini-flash-lite-latest": {
         "cache_read_input_token_cost": 1e-08,
@@ -49181,7 +49223,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini-pro-latest": {
         "cache_read_input_token_cost": 1.25e-07,
@@ -49226,7 +49269,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini/gemini-pro-latest": {
         "cache_read_input_token_cost": 1.25e-07,
@@ -49271,7 +49315,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini-exp-1206": {
         "cache_read_input_token_cost": 3e-08,
diff --git a/litellm/proxy/management_endpoints/model_management_endpoints.py b/litellm/proxy/management_endpoints/model_management_endpoints.py
index 7654622c8b8..9ea0796b680 100644
--- a/litellm/proxy/management_endpoints/model_management_endpoints.py
+++ b/litellm/proxy/management_endpoints/model_management_endpoints.py
@@ -358,9 +358,10 @@ def _validate_ptu_model_info(model_info: Mapping[str, object]) -> None:
         raise HTTPException(status_code=400, detail=error)
 
 
-# The mirrored per-token pricing fields plus the three remaining fields
-# Router._inherit_builtin_cache_pricing back-fills from the public cost map. An unset field is
-# what that back-fill targets, so a field left out here is one a PTU deployment still bills.
+# The mirrored per-token pricing fields plus the remaining rates the public cost map or a
+# provider default would otherwise supply (the cache back-fills, the Maps grounding rate). An
+# unset field falls back to those sources, so a field left out here is one a PTU deployment
+# still bills.
 # tiered_pricing is the one mirrored field that is a table of ranges, not a rate, so it is stored
 # empty (see _PTU_EMPTIED_PRICING_FIELDS): its tiers outrank the zeros written beside them, so
 # dropping it would leave the cost map's tiers billing the traffic the reserved capacity covers.
diff --git a/litellm/types/litellm_core_utils/streaming_chunk_builder_utils.py b/litellm/types/litellm_core_utils/streaming_chunk_builder_utils.py
index 893b0bdbb9f..f981089d370 100644
--- a/litellm/types/litellm_core_utils/streaming_chunk_builder_utils.py
+++ b/litellm/types/litellm_core_utils/streaming_chunk_builder_utils.py
@@ -1,4 +1,4 @@
-from typing_extensions import TypedDict
+from typing_extensions import ReadOnly, TypedDict
 
 from ..utils import CompletionTokensDetails, PromptTokensDetailsWrapper, ServerToolUse
 
@@ -10,6 +10,7 @@ class UsagePerChunk(TypedDict):
     cache_read_input_tokens: int | None
     server_tool_use: ServerToolUse | None
     web_search_requests: int | None
+    google_maps_grounding_requests: ReadOnly[int | None]
     completion_tokens_details: CompletionTokensDetails | None
     prompt_tokens_details: PromptTokensDetailsWrapper | None
     cost: float | None
diff --git a/litellm/types/utils.py b/litellm/types/utils.py
index 73f46bd2181..b5caea0e778 100644
--- a/litellm/types/utils.py
+++ b/litellm/types/utils.py
@@ -287,6 +287,7 @@ class ModelInfoBase(ProviderSpecificModelInfo, total=False):
     web_search_billing_unit: (
         Literal["per_query", "per_prompt"] | None
     )  # "per_query" (Gemini 3.x) or "per_prompt" (Gemini 2.x)
+    google_maps_grounding_cost_per_query: ReadOnly[float | None]
     citation_cost_per_token: float | None  # Cost per citation token for Perplexity
     tiered_pricing: list[dict[str, Any]] | None  # Tiered pricing structure for models like Dashscope
     litellm_provider: Required[str]
@@ -1613,6 +1614,9 @@ class PromptTokensDetailsWrapper(
     web_search_requests: int | None = None
     """Number of web search requests made by the tool call. Used for Anthropic to calculate web search cost."""
 
+    google_maps_grounding_requests: int | None = None
+    """Number of Grounding with Google Maps requests made by the tool call. Used for Gemini to calculate Maps cost."""
+
     tool_use_tokens: int | None = None
     """Prompt tokens consumed by server-side tool use (e.g. Gemini grounding via googleSearch)."""
 
@@ -1671,6 +1675,8 @@ class PromptTokensDetailsWrapper(
             del self.audio_length_seconds
         if self.web_search_requests is None:
             del self.web_search_requests
+        if self.google_maps_grounding_requests is None:
+            del self.google_maps_grounding_requests
         if self.tool_use_tokens is None:
             del self.tool_use_tokens
         if self.cache_write_tokens is None:
@@ -3405,6 +3411,7 @@ class CustomPricingLiteLLMParams(MirroredPricingParams):
     output_cost_per_video_per_second: float | None = None
     output_cost_per_audio_per_second: float | None = None
     search_context_cost_per_query: dict[str, Any] | None = None
+    google_maps_grounding_cost_per_query: float | None = None
     citation_cost_per_token: float | None = None
     cache_read_input_token_cost_above_272k_tokens: float | None = None
     cache_read_input_token_cost_above_512k_tokens: float | None = None
diff --git a/litellm/utils.py b/litellm/utils.py
index c2770a1a26d..9cab81e1ba7 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -5878,6 +5878,7 @@ def _get_model_info_helper(
                 supports_computer_use=_model_info.get("supports_computer_use", None),
                 search_context_cost_per_query=_model_info.get("search_context_cost_per_query", None),
                 web_search_billing_unit=_model_info.get("web_search_billing_unit", None),
+                google_maps_grounding_cost_per_query=_model_info.get("google_maps_grounding_cost_per_query", None),
                 tpm=_model_info.get("tpm", None),
                 rpm=_model_info.get("rpm", None),
                 ocr_cost_per_page=_model_info.get("ocr_cost_per_page", None),
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index a6da2c1fb09..ad19818a5ce 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -19796,6 +19796,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini-2.5-flash-image": {
@@ -20085,7 +20086,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-3.1-flash-lite": {
         "deprecation_date": "2027-05-07",
@@ -20142,7 +20144,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-3.5-flash-lite": {
         "deprecation_date": "2027-07-21",
@@ -20198,7 +20201,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "deep-research-pro-preview-12-2025": {
         "input_cost_per_image": 0.0011,
@@ -20278,6 +20282,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini-2.5-flash-lite-preview-09-2025": {
@@ -20323,6 +20328,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini-2.5-flash-preview-09-2025": {
@@ -20368,6 +20374,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini-live-2.5-flash-preview-native-audio-09-2025": {
@@ -20504,6 +20511,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini-2.5-pro": {
@@ -20549,7 +20557,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini-3-pro-preview": {
         "deprecation_date": "2026-03-26",
@@ -20663,7 +20672,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-3.1-pro-preview-customtools": {
         "prompt_cache_min_tokens": 4096,
@@ -20715,7 +20725,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3-pro-preview": {
         "cache_read_input_token_cost": 2e-07,
@@ -20818,7 +20829,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3.5-flash": {
         "prompt_cache_min_tokens": 4096,
@@ -20873,6 +20885,7 @@
             "search_context_size_high": 0.014
         },
         "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014,
         "input_cost_per_token_batches": 7.5e-07,
         "output_cost_per_token_batches": 4.5e-06,
         "input_cost_per_token_flex": 7.5e-07,
@@ -20933,7 +20946,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3.7-flash": {
         "prompt_cache_min_tokens": 4096,
@@ -20989,7 +21003,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3.1-pro-preview": {
         "prompt_cache_min_tokens": 4096,
@@ -21047,7 +21062,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3.1-pro-preview-customtools": {
         "prompt_cache_min_tokens": 4096,
@@ -21105,7 +21121,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-2.5-pro-preview-tts": {
         "cache_read_input_token_cost": 1.25e-07,
@@ -21644,6 +21661,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini/gemini-2.5-flash-image": {
@@ -21991,6 +22009,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini/gemini-2.5-flash-lite-preview-09-2025": {
@@ -22039,6 +22058,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini/gemini-2.5-flash-preview-09-2025": {
@@ -22087,6 +22107,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini/gemini-flash-latest": {
@@ -22133,7 +22154,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini/gemini-flash-lite-latest": {
         "cache_read_input_token_cost": 2.5e-08,
@@ -22179,7 +22201,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini/gemini-2.5-flash-lite-preview-06-17": {
         "deprecation_date": "2025-11-18",
@@ -22227,6 +22250,7 @@
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
         },
+        "google_maps_grounding_cost_per_query": 0.025,
         "supports_image_size": false
     },
     "gemini/gemini-2.5-flash-preview-tts": {
@@ -22288,7 +22312,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini/gemini-2.5-computer-use-preview-10-2025": {
         "input_cost_per_token": 1.25e-06,
@@ -22425,7 +22450,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-3.1-flash-lite": {
         "cache_read_input_token_cost": 2.5e-08,
@@ -22484,7 +22510,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-3.5-flash-lite": {
         "cache_read_input_token_cost": 3e-08,
@@ -22541,7 +22568,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-3-flash-preview": {
         "cache_read_input_token_cost": 5e-08,
@@ -22593,7 +22621,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-3.5-flash": {
         "prompt_cache_min_tokens": 4096,
@@ -22649,6 +22678,7 @@
             "search_context_size_high": 0.014
         },
         "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014,
         "input_cost_per_token_batches": 7.5e-07,
         "output_cost_per_token_batches": 4.5e-06,
         "input_cost_per_token_flex": 7.5e-07,
@@ -22711,7 +22741,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-3.7-flash": {
         "prompt_cache_min_tokens": 4096,
@@ -22769,7 +22800,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-omni-flash-preview": {
         "input_cost_per_audio_token": 1.5e-06,
@@ -22860,7 +22892,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-3.1-pro-preview-customtools": {
         "prompt_cache_min_tokens": 4096,
@@ -22918,7 +22951,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-3-flash-preview": {
         "cache_read_input_token_cost": 5e-08,
@@ -22968,7 +23002,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-omni-flash-preview": {
         "input_cost_per_audio_token": 1.5e-06,
@@ -23054,6 +23089,7 @@
             "search_context_size_high": 0.014
         },
         "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014,
         "input_cost_per_token_batches": 7.5e-07,
         "output_cost_per_token_batches": 4.5e-06,
         "input_cost_per_token_flex": 7.5e-07,
@@ -23114,7 +23150,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini-3.7-flash": {
         "prompt_cache_min_tokens": 4096,
@@ -23170,7 +23207,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "gemini/gemini-2.5-pro-preview-tts": {
         "cache_read_input_token_cost": 1.25e-07,
@@ -41924,7 +41962,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3.1-flash-lite": {
         "deprecation_date": "2027-05-07",
@@ -41982,7 +42021,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/gemini-3.5-flash-lite": {
         "deprecation_date": "2027-07-21",
@@ -42039,7 +42079,8 @@
             "search_context_size_medium": 0.014,
             "search_context_size_high": 0.014
         },
-        "web_search_billing_unit": "per_query"
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014
     },
     "vertex_ai/deep-research-pro-preview-12-2025": {
         "input_cost_per_image": 0.0011,
@@ -49135,7 +49176,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini-flash-lite-latest": {
         "cache_read_input_token_cost": 1e-08,
@@ -49181,7 +49223,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini-pro-latest": {
         "cache_read_input_token_cost": 1.25e-07,
@@ -49226,7 +49269,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini/gemini-pro-latest": {
         "cache_read_input_token_cost": 1.25e-07,
@@ -49271,7 +49315,8 @@
             "search_context_size_low": 0.035,
             "search_context_size_medium": 0.035,
             "search_context_size_high": 0.035
-        }
+        },
+        "google_maps_grounding_cost_per_query": 0.025
     },
     "gemini-exp-1206": {
         "cache_read_input_token_cost": 3e-08,
diff --git a/model_prices_and_context_window.schema.json b/model_prices_and_context_window.schema.json
index 4eee9d52bc7..f68644705b6 100644
--- a/model_prices_and_context_window.schema.json
+++ b/model_prices_and_context_window.schema.json
@@ -191,6 +191,11 @@
         "gemini_native_audio": {
           "type": "boolean"
         },
+        "google_maps_grounding_cost_per_query": {
+          "type": "number",
+          "minimum": 0,
+          "description": "USD per Grounding with Google Maps request; billed per query or per prompt per web_search_billing_unit."
+        },
         "guardrail_cost_per_unit": {
           "type": "object",
           "description": "USD cost per billable guardrail unit, keyed by the provider's usage counter name (e.g. Bedrock's contentPolicyUnits).",
diff --git a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_tool_call_cost_tracking.py b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_tool_call_cost_tracking.py
index 9bdded94513..fd795ffcc96 100644
--- a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_tool_call_cost_tracking.py
+++ b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_tool_call_cost_tracking.py
@@ -512,6 +512,95 @@ def test_gemini_3x_web_search_billed_per_query(model, local_model_cost_map):
     )
 
 
+@pytest.mark.parametrize(
+    "model,custom_llm_provider",
+    [
+        ("gemini/gemini-2.5-flash", "gemini"),
+        ("vertex_ai/gemini-2.5-flash", "vertex_ai"),
+    ],
+)
+def test_gemini_2x_maps_grounding_billed_at_maps_rate(model, custom_llm_provider, local_model_cost_map):
+    """
+    Grounding with Google Maps is its own SKU: a Maps-only grounded prompt on Gemini 2.x bills the
+    $0.025 Maps per-prompt fee, not the $0.035 Google Search fee it was previously conflated with,
+    and not $0 as on Vertex AI where webSearchQueries is never populated for Maps.
+    Regression for https://github.com/BerriAI/litellm/issues/35906
+    """
+    from litellm.types.utils import PromptTokensDetailsWrapper, Usage
+
+    model_info = litellm.get_model_info(model)
+    expected_cost = model_info["google_maps_grounding_cost_per_query"]
+    assert expected_cost == pytest.approx(0.025)
+
+    usage = Usage(
+        prompt_tokens=15,
+        completion_tokens=100,
+        total_tokens=115,
+        prompt_tokens_details=PromptTokensDetailsWrapper(text_tokens=15, google_maps_grounding_requests=1),
+    )
+    cost = StandardBuiltInToolCostTracking.get_cost_for_built_in_tools(
+        model=model,
+        usage=usage,
+        response_object=None,
+        custom_llm_provider=custom_llm_provider,
+        standard_built_in_tools_params=None,
+    )
+    assert cost == pytest.approx(expected_cost)
+
+
+def test_gemini_3x_maps_grounding_billed_per_query(local_model_cost_map):
+    """Gemini 3.x bills Maps grounding per executed query: N queries cost N * $0.014."""
+    from litellm.types.utils import PromptTokensDetailsWrapper, Usage
+
+    model = "vertex_ai/gemini-3.5-flash"
+    model_info = litellm.get_model_info(model)
+    assert model_info["web_search_billing_unit"] == "per_query"
+    expected_cost = model_info["google_maps_grounding_cost_per_query"] * 2
+
+    usage = Usage(
+        prompt_tokens=15,
+        completion_tokens=100,
+        total_tokens=115,
+        prompt_tokens_details=PromptTokensDetailsWrapper(text_tokens=15, google_maps_grounding_requests=2),
+    )
+    cost = StandardBuiltInToolCostTracking.get_cost_for_built_in_tools(
+        model=model,
+        usage=usage,
+        response_object=None,
+        custom_llm_provider="vertex_ai",
+        standard_built_in_tools_params=None,
+    )
+    assert cost == pytest.approx(expected_cost)
+    assert cost == pytest.approx(0.028)
+
+
+def test_gemini_combined_search_and_maps_costs_are_additive(local_model_cost_map):
+    """A prompt grounded with both Google Search and Google Maps pays both fees."""
+    from litellm.types.utils import PromptTokensDetailsWrapper, Usage
+
+    model = "gemini/gemini-3.5-flash"
+    model_info = litellm.get_model_info(model)
+    search_rate = model_info["search_context_cost_per_query"]["search_context_size_medium"]
+    maps_rate = model_info["google_maps_grounding_cost_per_query"]
+
+    usage = Usage(
+        prompt_tokens=15,
+        completion_tokens=100,
+        total_tokens=115,
+        prompt_tokens_details=PromptTokensDetailsWrapper(
+            text_tokens=15, web_search_requests=2, google_maps_grounding_requests=1
+        ),
+    )
+    cost = StandardBuiltInToolCostTracking.get_cost_for_built_in_tools(
+        model=model,
+        usage=usage,
+        response_object=None,
+        custom_llm_provider="gemini",
+        standard_built_in_tools_params=None,
+    )
+    assert cost == pytest.approx(search_rate * 2 + maps_rate)
+
+
 def test_gemini_2x_web_search_still_billed_per_prompt(local_model_cost_map):
     """
     Gemini 2.x bills web search per grounded prompt: multiple internal queries are one flat
diff --git a/tests/test_litellm/litellm_core_utils/test_ptu_pricing.py b/tests/test_litellm/litellm_core_utils/test_ptu_pricing.py
index f5339daad20..b8fb372d537 100644
--- a/tests/test_litellm/litellm_core_utils/test_ptu_pricing.py
+++ b/tests/test_litellm/litellm_core_utils/test_ptu_pricing.py
@@ -134,6 +134,15 @@ def test_the_search_context_table_is_zeroed_in_place_on_every_deployment():
         assert dict(override[field]) == dict.fromkeys(SEARCH_CONTEXT_SIZES, 0.0)
 
 
+def test_the_maps_grounding_rate_is_zeroed_on_every_deployment():
+    """An absent rate falls back to the Maps default rather than free, so it is written
+    even when the deployment never declared one."""
+    override = _with_flag(_VALID)
+
+    assert override is not None
+    assert override["google_maps_grounding_cost_per_query"] == 0.0
+
+
 def test_a_declared_table_does_not_become_a_scalar():
     """Zeroing it as a plain 0.0 would leave the provider's reader without a table to
     consult, which is the same as absent."""
diff --git a/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py b/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py
index 4b5b51cb4b8..8ac050a04f9 100644
--- a/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py
+++ b/tests/test_litellm/litellm_core_utils/test_streaming_chunk_builder_utils.py
@@ -711,6 +711,66 @@ def test_stream_chunk_builder_anthropic_web_search():
     assert usage.server_tool_use.web_search_requests == 2
 
 
+def test_calculate_usage_carries_google_maps_grounding_requests():
+    """
+    The Maps grounding counter set on a streamed usage chunk must survive the stream rebuild even
+    when a later chunk carries its own prompt_tokens_details, or Maps grounding on streaming
+    requests silently bills $0.
+    """
+    from litellm.types.utils import PromptTokensDetailsWrapper
+
+    chunk1 = ModelResponseStream(
+        id="chatcmpl-maps-usage-0",
+        created=1745513207,
+        model="gemini-2.5-flash",
+        object="chat.completion.chunk",
+        choices=[
+            StreamingChoices(
+                finish_reason=None,
+                index=0,
+                delta=Delta(content="Here"),
+                logprobs=None,
+            )
+        ],
+        stream_options={"include_usage": True},
+        usage=Usage(
+            completion_tokens=0,
+            prompt_tokens=15,
+            total_tokens=15,
+            prompt_tokens_details=PromptTokensDetailsWrapper(google_maps_grounding_requests=1),
+        ),
+    )
+
+    chunk2 = ModelResponseStream(
+        id="chatcmpl-maps-usage-0",
+        created=1745513207,
+        model="gemini-2.5-flash",
+        object="chat.completion.chunk",
+        choices=[
+            StreamingChoices(
+                finish_reason="stop",
+                index=0,
+                delta=Delta(content=None),
+                logprobs=None,
+            )
+        ],
+        stream_options={"include_usage": True},
+        usage=Usage(
+            completion_tokens=27,
+            prompt_tokens=0,
+            total_tokens=27,
+            prompt_tokens_details=PromptTokensDetailsWrapper(text_tokens=0),
+        ),
+    )
+
+    chunks = [chunk1, chunk2]
+    processor = ChunkProcessor(chunks=chunks)
+
+    usage = processor.calculate_usage(chunks=chunks, model="gemini-2.5-flash", completion_output="")
+
+    assert usage.prompt_tokens_details.google_maps_grounding_requests == 1
+
+
 def test_sort_chunks_handles_dict_hidden_params_created_at():
     chunks = [
         {
diff --git a/tests/test_litellm/llms/gemini/test_cost_calculator.py b/tests/test_litellm/llms/gemini/test_cost_calculator.py
index fc8d71afaa9..ba503d635a0 100644
--- a/tests/test_litellm/llms/gemini/test_cost_calculator.py
+++ b/tests/test_litellm/llms/gemini/test_cost_calculator.py
@@ -3,7 +3,10 @@ import os
 import pytest
 
 import litellm
-from litellm.llms.gemini.cost_calculator import cost_per_web_search_request
+from litellm.llms.gemini.cost_calculator import (
+    cost_per_google_maps_grounding_request,
+    cost_per_web_search_request,
+)
 from litellm.llms.gemini.image_edit.cost_calculator import (
     cost_calculator as gemini_image_edit_cost_calculator,
 )
@@ -81,6 +84,63 @@ def test_no_usage_details():
     assert cost == 0.0
 
 
+def _make_maps_usage(google_maps_grounding_requests: int) -> Usage:
+    return Usage(
+        prompt_tokens=100,
+        completion_tokens=50,
+        total_tokens=150,
+        prompt_tokens_details=PromptTokensDetailsWrapper(
+            google_maps_grounding_requests=google_maps_grounding_requests,
+        ),
+    )
+
+
+def test_maps_per_query_billing():
+    """web_search_billing_unit=per_query charges per Maps query."""
+    model_info = {
+        "key": "gemini/gemini-3.5-flash",
+        "web_search_billing_unit": "per_query",
+        "google_maps_grounding_cost_per_query": 0.014,
+    }
+    cost = cost_per_google_maps_grounding_request(usage=_make_maps_usage(3), model_info=model_info)
+    assert cost == pytest.approx(0.014 * 3)
+
+
+def test_maps_per_prompt_billing_clamps_to_one():
+    """Without web_search_billing_unit, Maps grounding is one flat fee per grounded prompt."""
+    model_info = {
+        "key": "gemini/gemini-2.5-flash",
+        "google_maps_grounding_cost_per_query": 0.025,
+    }
+    cost = cost_per_google_maps_grounding_request(usage=_make_maps_usage(3), model_info=model_info)
+    assert cost == pytest.approx(0.025)
+
+
+def test_maps_default_rate_per_query():
+    """A per_query model missing the pricing key falls back to Google's $14/1K queries."""
+    model_info = {"key": "gemini/gemini-3.9-flash", "web_search_billing_unit": "per_query"}
+    cost = cost_per_google_maps_grounding_request(usage=_make_maps_usage(2), model_info=model_info)
+    assert cost == pytest.approx(0.014 * 2)
+
+
+def test_maps_default_rate_per_prompt():
+    """A per_prompt model missing the pricing key falls back to Google's $25/1K grounded prompts."""
+    model_info = {"key": "gemini/gemini-2.6-flash"}
+    cost = cost_per_google_maps_grounding_request(usage=_make_maps_usage(2), model_info=model_info)
+    assert cost == pytest.approx(0.025)
+
+
+def test_maps_zero_requests():
+    model_info = {"key": "gemini/gemini-3.5-flash", "web_search_billing_unit": "per_query"}
+    assert cost_per_google_maps_grounding_request(usage=_make_maps_usage(0), model_info=model_info) == 0.0
+
+
+def test_maps_no_usage_details():
+    usage = Usage(prompt_tokens=100, completion_tokens=50, total_tokens=150)
+    model_info = {"key": "gemini/gemini-3.5-flash"}
+    assert cost_per_google_maps_grounding_request(usage=usage, model_info=model_info) == 0.0
+
+
 def test_gemini_image_edit_cost_prefers_token_usage_metadata(monkeypatch):
     monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
     litellm.model_cost = litellm.get_model_cost_map(url="")
diff --git a/tests/test_litellm/llms/vertex_ai/gemini/test_grounding_requests.py b/tests/test_litellm/llms/vertex_ai/gemini/test_grounding_requests.py
new file mode 100644
index 00000000000..ec9642bdef6
--- /dev/null
+++ b/tests/test_litellm/llms/vertex_ai/gemini/test_grounding_requests.py
@@ -0,0 +1,102 @@
+from litellm.llms.vertex_ai.gemini.grounding_requests import (
+    GroundingRequests,
+    calculate_grounding_requests,
+)
+
+
+def test_search_only_counts_non_empty_queries_as_web_requests():
+    result = calculate_grounding_requests(
+        [
+            {
+                "webSearchQueries": ["", "capital of France", "France capital"],
+                "groundingChunks": [{"web": {"uri": "https://example.com", "title": "Example"}}],
+            }
+        ]
+    )
+    assert result == GroundingRequests(web_search_requests=2, google_maps_grounding_requests=None)
+
+
+def test_gemini_api_maps_only_counts_queries_as_maps_requests():
+    result = calculate_grounding_requests(
+        [
+            {
+                "webSearchQueries": ["coffee shops near the Louvre"],
+                "groundingChunks": [{"maps": {"uri": "https://maps.google.com/?cid=1", "placeId": "p1"}}],
+            }
+        ]
+    )
+    assert result == GroundingRequests(web_search_requests=None, google_maps_grounding_requests=1)
+
+
+def test_vertex_maps_only_without_queries_counts_one_maps_request():
+    result = calculate_grounding_requests(
+        [
+            {
+                "groundingChunks": [
+                    {"maps": {"uri": "https://maps.google.com/?cid=1", "placeId": "p1"}},
+                    {"maps": {"uri": "https://maps.google.com/?cid=2", "placeId": "p2"}},
+                ],
+                "groundingSupports": [],
+            }
+        ]
+    )
+    assert result == GroundingRequests(web_search_requests=None, google_maps_grounding_requests=1)
+
+
+def test_widget_context_token_alone_counts_one_maps_request():
+    result = calculate_grounding_requests([{"googleMapsWidgetContextToken": "widget-token"}])
+    assert result == GroundingRequests(web_search_requests=None, google_maps_grounding_requests=1)
+
+
+def test_combined_web_and_maps_chunks_split_between_both_counters():
+    result = calculate_grounding_requests(
+        [
+            {
+                "webSearchQueries": ["q1", "q2"],
+                "groundingChunks": [
+                    {"web": {"uri": "https://example.com"}},
+                    {"maps": {"uri": "https://maps.google.com/?cid=1"}},
+                ],
+            }
+        ]
+    )
+    assert result == GroundingRequests(web_search_requests=2, google_maps_grounding_requests=1)
+
+
+def test_url_context_grounding_chunks_without_queries_count_nothing():
+    result = calculate_grounding_requests([{"groundingChunks": [{"web": {"uri": "https://example.com"}}]}])
+    assert result == GroundingRequests(web_search_requests=None, google_maps_grounding_requests=None)
+
+
+def test_counters_count_distinct_queries_across_candidates():
+    result = calculate_grounding_requests(
+        [
+            {"webSearchQueries": ["a"]},
+            {"groundingChunks": [{"maps": {"uri": "https://maps.google.com/?cid=1"}}]},
+            {"webSearchQueries": ["b", "c"], "groundingChunks": [{"maps": {"uri": "https://maps.google.com/?cid=2"}}]},
+        ]
+    )
+    assert result == GroundingRequests(web_search_requests=1, google_maps_grounding_requests=2)
+
+
+def test_duplicate_queries_across_candidates_collapse_per_bucket():
+    result = calculate_grounding_requests(
+        [
+            {"webSearchQueries": ["shared", "web only"], "groundingChunks": [{"web": {"uri": "https://e.com"}}]},
+            {"webSearchQueries": ["shared"], "groundingChunks": [{"web": {"uri": "https://e.com"}}]},
+            {"webSearchQueries": ["maps q", "maps q"], "groundingChunks": [{"maps": {"uri": "https://m.com"}}]},
+            {"webSearchQueries": ["maps q"], "groundingChunks": [{"maps": {"uri": "https://m.com"}}]},
+        ]
+    )
+    assert result == GroundingRequests(web_search_requests=2, google_maps_grounding_requests=1)
+
+
+def test_empty_metadata_counts_nothing():
+    result = calculate_grounding_requests([])
+    assert result == GroundingRequests(web_search_requests=None, google_maps_grounding_requests=None)
+
+
+def test_has_billable_grounding():
+    assert GroundingRequests(web_search_requests=None, google_maps_grounding_requests=1).has_billable_grounding()
+    assert GroundingRequests(web_search_requests=1, google_maps_grounding_requests=None).has_billable_grounding()
+    assert not GroundingRequests(web_search_requests=None, google_maps_grounding_requests=None).has_billable_grounding()
diff --git a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py
index bfe12498dd6..bd07bec900f 100644
--- a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py
+++ b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py
@@ -549,9 +549,10 @@ def test_vertex_ai_non_grounded_usage_omits_tool_use_tokens():
 
 def test_response_has_search_grounding_detection():
     """
-    Only groundingMetadata.webSearchQueries signals an actual Google Search. URL context also
-    emits groundingMetadata (groundingChunks but no webSearchQueries) and must not be treated
-    as search grounding.
+    groundingMetadata.webSearchQueries signals an actual Google Search and
+    groundingMetadata.groundingChunks[].maps signals a Google Maps lookup. URL context also
+    emits groundingMetadata (web groundingChunks but no webSearchQueries) and must not be
+    treated as billable grounding.
     """
     assert (
         VertexGeminiConfig._response_has_search_grounding(
@@ -580,6 +581,101 @@ def test_response_has_search_grounding_detection():
     )
     assert VertexGeminiConfig._response_has_search_grounding({"candidates": []}) is False
     assert VertexGeminiConfig._response_has_search_grounding({}) is False
+    assert (
+        VertexGeminiConfig._response_has_search_grounding(
+            {
+                "candidates": [
+                    {
+                        "groundingMetadata": {
+                            "groundingChunks": [{"maps": {"uri": "https://maps.google.com/?cid=1", "placeId": "p1"}}]
+                        }
+                    }
+                ]
+            }
+        )
+        is True
+    )
+
+
+def test_vertex_ai_maps_grounding_tool_use_tokens_excluded_from_prompt_tokens():
+    """
+    Grounding with Google Maps retrieved tokens are billed like Google Search grounding: a
+    separate per-request / per-query fee, with toolUsePromptTokenCount surfaced on
+    prompt_tokens_details.tool_use_tokens but excluded from prompt_tokens. Before Maps detection
+    existed, a Vertex AI Maps-only response folded the 120 tool-use tokens into prompt_tokens.
+    Regression for https://github.com/BerriAI/litellm/issues/35906
+    """
+    v = VertexGeminiConfig()
+    completion_response = {
+        "candidates": [
+            {
+                "groundingMetadata": {
+                    "groundingChunks": [{"maps": {"uri": "https://maps.google.com/?cid=1", "placeId": "p1"}}]
+                }
+            }
+        ],
+        "usageMetadata": UsageMetadata(
+            promptTokenCount=15,
+            candidatesTokenCount=100,
+            toolUsePromptTokenCount=120,
+            totalTokenCount=235,
+        ),
+    }
+
+    usage = v._calculate_usage(completion_response=completion_response)
+
+    assert usage.prompt_tokens == 15
+    assert usage.completion_tokens == 100
+    assert usage.total_tokens == 235
+    assert usage.prompt_tokens_details.tool_use_tokens == 120
+
+
+def test_vertex_ai_maps_grounding_sets_google_maps_grounding_requests_non_streaming():
+    """
+    A Vertex AI Maps-only response (groundingChunks[].maps, no webSearchQueries) must set
+    google_maps_grounding_requests and leave web_search_requests unset, so the Maps fee is
+    billed instead of nothing (Vertex) or the Google Search fee (Gemini API).
+    """
+    from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import (
+        VertexGeminiConfig,
+    )
+
+    completion_response = {
+        "candidates": [
+            {
+                "content": {"parts": [{"text": "Here are some coffee shops"}], "role": "model"},
+                "finishReason": "STOP",
+                "groundingMetadata": {
+                    "groundingChunks": [{"maps": {"uri": "https://maps.google.com/?cid=1", "placeId": "p1"}}],
+                    "groundingSupports": [],
+                },
+            }
+        ],
+        "usageMetadata": {
+            "promptTokenCount": 15,
+            "candidatesTokenCount": 100,
+            "totalTokenCount": 115,
+        },
+    }
+
+    raw_response = MagicMock()
+    raw_response.json.return_value = completion_response
+
+    result = VertexGeminiConfig().transform_response(
+        model="gemini-2.5-flash",
+        raw_response=raw_response,
+        model_response=ModelResponse(),
+        logging_obj=MagicMock(),
+        request_data={},
+        messages=[],
+        optional_params={},
+        litellm_params={},
+        encoding=None,
+    )
+
+    usage = result.usage
+    assert usage.prompt_tokens_details.google_maps_grounding_requests == 1
+    assert not hasattr(usage.prompt_tokens_details, "web_search_requests")
 
 
 def test_vertex_ai_search_grounding_tool_use_tokens_excluded_from_prompt_tokens():
@@ -1292,6 +1388,66 @@ def test_vertex_ai_streaming_usage_web_search_calculation():
     assert usage.prompt_tokens_details.web_search_requests == 2
 
 
+def test_vertex_ai_maps_grounding_chunk_parser_sets_maps_requests():
+    """A Vertex-shaped Maps-only streaming chunk sets the Maps counter and not the Search one."""
+    from unittest.mock import MagicMock
+
+    from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import (
+        ModelResponseIterator,
+    )
+
+    chunk = {
+        "candidates": [
+            {
+                "content": {"parts": [{"text": "Here"}]},
+                "groundingMetadata": {
+                    "groundingChunks": [{"maps": {"uri": "https://maps.google.com/?cid=1", "placeId": "p1"}}],
+                    "groundingSupports": [],
+                },
+            }
+        ],
+        "usageMetadata": {"promptTokenCount": 15, "candidatesTokenCount": 10, "totalTokenCount": 25},
+    }
+
+    iterator = ModelResponseIterator(streaming_response=[], sync_stream=True, logging_obj=MagicMock())
+    completed_response = iterator.chunk_parser(chunk)
+
+    usage = completed_response.usage
+    assert usage.prompt_tokens_details.google_maps_grounding_requests == 1
+    assert not hasattr(usage.prompt_tokens_details, "web_search_requests")
+
+
+def test_gemini_api_maps_grounding_chunk_parser_counts_queries_as_maps_requests():
+    """A Gemini-API-shaped Maps chunk (webSearchQueries plus maps chunks) bills Maps, not Search."""
+    from unittest.mock import MagicMock
+
+    from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import (
+        ModelResponseIterator,
+    )
+
+    chunk = {
+        "candidates": [
+            {
+                "content": {"parts": [{"text": "Here"}]},
+                "groundingMetadata": [
+                    {
+                        "webSearchQueries": ["coffee shops near the Louvre"],
+                        "groundingChunks": [{"maps": {"uri": "https://maps.google.com/?cid=1", "placeId": "p1"}}],
+                    }
+                ],
+            }
+        ],
+        "usageMetadata": {"promptTokenCount": 15, "candidatesTokenCount": 10, "totalTokenCount": 25},
+    }
+
+    iterator = ModelResponseIterator(streaming_response=[], sync_stream=True, logging_obj=MagicMock())
+    completed_response = iterator.chunk_parser(chunk)
+
+    usage = completed_response.usage
+    assert usage.prompt_tokens_details.google_maps_grounding_requests == 1
+    assert not hasattr(usage.prompt_tokens_details, "web_search_requests")
+
+
 def test_vertex_ai_transform_parts():
     """
     Test the _transform_parts method for converting Vertex AI function calls
diff --git a/tests/test_litellm/test_utils.py b/tests/test_litellm/test_utils.py
index 366e510a94d..20e67b902b8 100644
--- a/tests/test_litellm/test_utils.py
+++ b/tests/test_litellm/test_utils.py
@@ -874,6 +874,7 @@ def test_aaamodel_prices_and_context_window_json_is_valid():
                 "deprecation_date": {"type": "string"},
                 "input_cost_per_audio_per_second": {"type": "number"},
                 "input_cost_per_audio_per_second_above_128k_tokens": {"type": "number"},
+                "google_maps_grounding_cost_per_query": {"type": "number"},
                 "input_cost_per_audio_token": {"type": "number"},
                 "input_cost_per_image_token": {"type": "number"},
                 "input_cost_per_character": {"type": "number"},
diff --git a/type-discipline-budget.json b/type-discipline-budget.json
index 1cd7aa8641d..6fd7828906c 100644
--- a/type-discipline-budget.json
+++ b/type-discipline-budget.json
@@ -3,7 +3,7 @@
     "limit": 22733
   },
   "LIT002": {
-    "limit": 26864
+    "limit": 26863
   },
   "LIT003": {
     "limit": 269
@@ -15,7 +15,7 @@
     "limit": 0
   },
   "LIT006": {
-    "limit": 1066
+    "limit": 1065
   },
   "LIT007": {
     "limit": 0
@@ -27,10 +27,10 @@
     "limit": 0
   },
   "LIT010": {
-    "limit": 16620
+    "limit": 16619
   },
   "LIT011": {
-    "limit": 5585
+    "limit": 5583
   },
   "LIT012": {
     "limit": 4510
diff --git a/ui/litellm-dashboard/src/lib/http/schema.d.ts b/ui/litellm-dashboard/src/lib/http/schema.d.ts
index c77b6ad2e46..d660d6b5aca 100644
--- a/ui/litellm-dashboard/src/lib/http/schema.d.ts
+++ b/ui/litellm-dashboard/src/lib/http/schema.d.ts
@@ -27550,6 +27550,8 @@ export interface components {
             default_api_key_tpm_limit?: number | null;
             /** Gcs Bucket Name */
             gcs_bucket_name?: string | null;
+            /** Google Maps Grounding Cost Per Query */
+            google_maps_grounding_cost_per_query?: number | null;
             /** Input Cost Per Audio Per Second */
             input_cost_per_audio_per_second?: number | null;
             /** Input Cost Per Audio Per Second Above 128K Tokens */
@@ -36772,6 +36774,8 @@ export interface components {
             default_api_key_tpm_limit?: number | null;
             /** Gcs Bucket Name */
             gcs_bucket_name?: string | null;
+            /** Google Maps Grounding Cost Per Query */
+            google_maps_grounding_cost_per_query?: number | null;
             /** Input Cost Per Audio Per Second */
             input_cost_per_audio_per_second?: number | null;
             /** Input Cost Per Audio Per Second Above 128K Tokens */