diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py
index 051d36c4d0f..b86e6d857cc 100644
--- a/litellm/proxy/utils.py
+++ b/litellm/proxy/utils.py
@@ -7481,6 +7481,64 @@ async def get_available_models_for_user(
     return all_models
 
 
+def _safe_get_model_info(model: str, get_model_info: Callable[[str], ModelInfo]) -> ModelInfo | None:
+    try:
+        return get_model_info(model)
+    except Exception as e:
+        verbose_proxy_logger.debug(
+            "create_model_info_response: cost map lookup failed for %s: %s",
+            model,
+            e,
+        )
+        return None
+
+
+def _resolve_listing_model_info(
+    deployment_model: str | None,
+    listed_model: str,
+    get_model_info: Callable[[str], ModelInfo],
+) -> tuple[ModelInfo, ...]:
+    """
+    Cost-map entries describing a listed model, best source first.
+
+    The name a model is listed under is an arbitrary public alias, so it often misses the
+    cost map and lands on a fallback-generalization rule that answers with a conservative
+    family baseline instead of the real model's limits; the deployment's underlying model
+    is what the request actually reaches. Both names are kept because either can
+    generalize, and because a deployment's own model is registered into the cost map as a
+    stub that carries no limits of its own. Exact entries are consulted before generalized
+    ones, and each field is then taken from the first entry that has it.
+    """
+    listed_info: Final = _safe_get_model_info(listed_model, get_model_info)
+
+    # Fast path, and the only one a wildcard-expanded name takes: with a single name
+    # there is nothing to order, so skip the generalization test entirely. This keeps
+    # the per-model cost of the listing on the hot path #33721 exists to protect.
+    if deployment_model is None or deployment_model == listed_model:
+        return () if listed_info is None else (listed_info,)
+
+    deployment_info: Final = _safe_get_model_info(deployment_model, get_model_info)
+    if deployment_info is None:
+        return () if listed_info is None else (listed_info,)
+    if listed_info is None:
+        return (deployment_info,)
+
+    from litellm.utils import is_generalized_model_info
+
+    # Both names resolved: the deployment's model leads unless it only generalized
+    # while the listed name is an exact cost-map entry.
+    if is_generalized_model_info(deployment_info) and not is_generalized_model_info(listed_info):
+        return (listed_info, deployment_info)
+    return (deployment_info, listed_info)
+
+
+def _first_token_limit(candidates: tuple[ModelInfo, ...], field: str) -> int | None:
+    return next(
+        (limit for limit in (coerce_token_limit(info.get(field)) for info in candidates) if limit is not None),
+        None,
+    )
+
+
 def create_model_info_response(
     model_id: str,
     provider: str,
@@ -7505,31 +7563,35 @@ def create_model_info_response(
         "owned_by": provider,
     }
 
-    try:
-        model_cost_info: ModelInfo | None = get_model_info(model_id)
-    except Exception as e:
-        verbose_proxy_logger.debug(
-            "create_model_info_response: cost map lookup failed for %s: %s",
-            model_id,
-            e,
-        )
-        model_cost_info = None
+    listing_info: Final = llm_router.get_model_listing_info(model_id) if llm_router is not None else None
 
-    max_input_tokens: int | None = None
-    max_output_tokens: int | None = None
-    if model_cost_info is not None:
-        max_input_tokens = coerce_token_limit(model_cost_info.get("max_input_tokens"))
-        max_output_tokens = coerce_token_limit(model_cost_info.get("max_output_tokens"))
-        mode: Final = model_cost_info.get("mode")
-        if isinstance(mode, str):
-            base["mode"] = mode
+    candidates: Final = _resolve_listing_model_info(
+        deployment_model=listing_info.cost_map_key if listing_info is not None else None,
+        listed_model=model_id,
+        get_model_info=get_model_info,
+    )
 
-    if llm_router is not None:
-        configured_input, configured_output = llm_router.get_configured_token_limits(model_id)
-        if configured_input is not None:
-            max_input_tokens = configured_input
-        if configured_output is not None:
-            max_output_tokens = configured_output
+    max_input_tokens: int | None = _first_token_limit(candidates, "max_input_tokens")
+    max_output_tokens: int | None = _first_token_limit(candidates, "max_output_tokens")
+    mode: Final = next(
+        (
+            m
+            for m in (
+                cast("Mapping[str, object]", info).get("mode")  # cast-ok: an entry need not carry "mode"
+                for info in candidates
+            )
+            if isinstance(m, str)
+        ),
+        None,
+    )
+    if mode is not None:
+        base["mode"] = mode
+
+    if listing_info is not None:
+        if listing_info.max_input_tokens is not None:
+            max_input_tokens = listing_info.max_input_tokens
+        if listing_info.max_output_tokens is not None:
+            max_output_tokens = listing_info.max_output_tokens
 
     if max_input_tokens is not None:
         base["max_input_tokens"] = max_input_tokens
diff --git a/litellm/router.py b/litellm/router.py
index 23d8907fb49..7bc6a6c714a 100644
--- a/litellm/router.py
+++ b/litellm/router.py
@@ -200,6 +200,7 @@ from litellm.types.router import (
     CredentialLiteLLMParams,
     CustomRoutingStrategyBase,
     Deployment,
+    DeploymentModelListingInfo,
     DeploymentTypedDict,
     FallbackAccessCheck,
     GuardrailTypedDict,
@@ -9726,25 +9727,44 @@ class Router:
             return None
         return Deployment(**first_usable) if isinstance(first_usable, dict) else first_usable
 
+    def get_model_listing_info(self, model_name: str) -> DeploymentModelListingInfo | None:
+        """
+        Return what the concrete deployment behind model_name contributes to its
+        /v1/models entry: the cost-map key for its underlying model, plus any token
+        limits explicitly configured in its model_info. Resolved via O(1) index lookup.
+
+        Returns None for wildcard-expanded or unknown names, where the listed name is
+        the real model name and no deployment-specific information exists, and treats a
+        malformed configured limit as absent rather than failing the listing. Unlike
+        get_model_group_info, this never triggers pattern matching or deep copies, so it
+        is safe to call per listed model on the /v1/models hot path.
+        """
+        deployment: Final = self.get_deployment_by_model_group_name(model_group_name=model_name)
+        if deployment is None:
+            return None
+
+        model_info: Final = deployment.model_info
+        # base_model is a declared field, so read it as one: an unset or blank value
+        # means the deployment's own model name is the cost-map key.
+        base_model: Final = model_info.base_model
+        return DeploymentModelListingInfo(
+            cost_map_key=base_model or deployment.litellm_params.model,
+            max_input_tokens=coerce_token_limit(model_info.get("max_input_tokens")),
+            max_output_tokens=coerce_token_limit(model_info.get("max_output_tokens")),
+        )
+
     def get_configured_token_limits(self, model_name: str) -> "tuple[int | None, int | None]":
         """
         Return (max_input_tokens, max_output_tokens) explicitly configured in a concrete
         deployment's model_info for model_name, via O(1) index lookup.
 
         Returns (None, None) for wildcard-expanded or unknown names, and treats a
-        malformed configured value as absent rather than failing the listing. Unlike
-        get_model_group_info, this never triggers pattern matching or deep copies, so it
-        is safe to call per listed model on the /v1/models hot path.
+        malformed configured value as absent rather than failing the caller.
         """
-        deployment: Final = self.get_deployment_by_model_group_name(model_group_name=model_name)
-        if deployment is None:
+        listing_info: Final = self.get_model_listing_info(model_name=model_name)
+        if listing_info is None:
             return (None, None)
-
-        model_info: Final = deployment.model_info
-        return (
-            coerce_token_limit(model_info.get("max_input_tokens")),
-            coerce_token_limit(model_info.get("max_output_tokens")),
-        )
+        return (listing_info.max_input_tokens, listing_info.max_output_tokens)
 
     def get_deployment_credentials_with_provider(
         self, model_id: str, team_id: str | None = None
diff --git a/litellm/types/router.py b/litellm/types/router.py
index e0957383aac..6f9fb4bf6ee 100644
--- a/litellm/types/router.py
+++ b/litellm/types/router.py
@@ -575,6 +575,23 @@ class Deployment(BaseModel):
         setattr(self, key, value)
 
 
+@dataclass(frozen=True, slots=True)
+class DeploymentModelListingInfo:
+    """What a concrete deployment contributes to its OpenAI-compatible listing entry.
+
+    ``cost_map_key`` is the name the deployment's underlying model is known by in
+    ``litellm.model_cost`` (``model_info.base_model`` when set, else
+    ``litellm_params.model``), which is what the request actually reaches; the public
+    model name it is listed under is an arbitrary alias and often absent from the cost
+    map. The token limits are the ones explicitly set in ``model_info``, which outrank
+    anything the cost map says.
+    """
+
+    cost_map_key: str
+    max_input_tokens: int | None
+    max_output_tokens: int | None
+
+
 class RouterErrors(enum.Enum):
     """
     Enum for router specific errors with common codes
diff --git a/litellm/utils.py b/litellm/utils.py
index 252b6756937..80d2399c518 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -2948,24 +2948,33 @@ def _resolve_builtin_model_cost_entry(key: str, provider: str) -> dict[str, obje
     return None
 
 
+def is_generalized_model_info(model_info: ModelInfo) -> bool:
+    """Whether ``model_info`` came from a fallback-generalization capability rule.
+
+    Detected as the resolved key missing ``litellm.model_cost`` while matching a
+    capability rule. A rule-derived entry carries no pricing and only a conservative
+    family-baseline context window, so callers holding a second candidate name should
+    prefer an exact cost-map entry from that name over this one.
+    """
+    key: Final = cast("Mapping[str, object]", model_info).get("key")  # cast-ok: partial dicts may omit "key"
+    if not isinstance(key, str):
+        return False
+    return key not in litellm.model_cost and match_capability_generalizations(key) is not None
+
+
 def _get_builtin_model_info_for_registration(model: str) -> ModelInfo | None:
     """Resolve ``model`` to its built-in cost-map entry for registration merging.
 
     Returns ``None`` when the lookup raises or when it resolved via a
-    fallback-generalization capability rule, detected as the resolved key missing
-    ``litellm.model_cost`` while matching a capability rule. A rule-derived entry
-    carries no pricing, so treating it as a hit would skip the built-in
-    cache-pricing inheritance for prefix-mangled keys.
+    fallback-generalization capability rule. A rule-derived entry carries no
+    pricing, so treating it as a hit would skip the built-in cache-pricing
+    inheritance for prefix-mangled keys.
     """
     try:
         info: Final = get_model_info(model=model)
     except Exception:
         return None
-    if info["key"] in litellm.model_cost:
-        return info
-    if match_capability_generalizations(info["key"]) is None:
-        return info
-    return None
+    return None if is_generalized_model_info(info) else info
 
 
 _runtime_registered_model_cost: Final[dict[str, dict[str, object]]] = {}  # mutable-ok: replayed on reload
diff --git a/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py b/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
index 4661cc17dbc..55e195ff14b 100644
--- a/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
+++ b/tests/test_litellm/proxy/management_endpoints/test_model_management_endpoints.py
@@ -1944,7 +1944,7 @@ class TestModelInfoEndpoint:
         ):
             mock_router.get_fully_blocked_model_names.return_value = set()
             mock_router.get_model_list.return_value = []
-            mock_router.get_configured_token_limits.return_value = (None, None)
+            mock_router.get_model_listing_info.return_value = None
             mock_router.get_deployment_by_model_group_name.return_value = Deployment(
                 model_name="gpt-4",
                 litellm_params=LiteLLM_Params(model="openai/gpt-4"),
@@ -2021,7 +2021,7 @@ class TestModelInfoEndpoint:
         ):
             mock_router.get_fully_blocked_model_names.return_value = set()
             mock_router.get_model_list.return_value = []
-            mock_router.get_configured_token_limits.return_value = (None, None)
+            mock_router.get_model_listing_info.return_value = None
             mock_router.get_deployment_by_model_group_name.return_value = Deployment(
                 model_name="team-model-1",
                 litellm_params=LiteLLM_Params(model="custom/team-model-1"),
diff --git a/tests/test_litellm/proxy/proxy_server/test_routes_models.py b/tests/test_litellm/proxy/proxy_server/test_routes_models.py
index 2b126b1ea95..9063010b366 100644
--- a/tests/test_litellm/proxy/proxy_server/test_routes_models.py
+++ b/tests/test_litellm/proxy/proxy_server/test_routes_models.py
@@ -17,6 +17,7 @@ import litellm
 from litellm.proxy import proxy_server
 from litellm.proxy import utils as proxy_utils
 from litellm.proxy.utils import create_model_info_response
+from litellm.types.router import DeploymentModelListingInfo
 
 from .conftest import normalize  # type: ignore[import-not-found]
 
@@ -165,13 +166,16 @@ def test_anthropic_format_carries_router_configured_token_limits(client, auth_as
     built from another entry's lookup shows up as the wrong numbers."""
 
     def _configured(model_name):
-        return (300000, 32000) if model_name == "gpt-4" else (500000, 4096)
+        max_input, max_output = (300000, 32000) if model_name == "gpt-4" else (500000, 4096)
+        return DeploymentModelListingInfo(
+            cost_map_key=model_name, max_input_tokens=max_input, max_output_tokens=max_output
+        )
 
     def _cost_map_lookup(model_id):
         max_input, max_output = (200000, 64000) if model_id == "gpt-4" else (100000, 8000)
         return {"max_input_tokens": max_input, "max_output_tokens": max_output, "mode": "chat"}
 
-    patched_models.get_configured_token_limits = MagicMock(side_effect=_configured)
+    patched_models.get_model_listing_info = MagicMock(side_effect=_configured)
 
     def _resolved(**kwargs):
         return create_model_info_response(**kwargs, get_model_info=_cost_map_lookup)
diff --git a/tests/test_litellm/proxy/proxy_server/test_team_model_name_translation.py b/tests/test_litellm/proxy/proxy_server/test_team_model_name_translation.py
index aa35fd64f18..6c1f2eb9bcf 100644
--- a/tests/test_litellm/proxy/proxy_server/test_team_model_name_translation.py
+++ b/tests/test_litellm/proxy/proxy_server/test_team_model_name_translation.py
@@ -877,7 +877,7 @@ async def test_v1_models_translates_team_model_for_access_group_key(monkeypatch)
     router.get_model_names.return_value = ["model_name_teamX_uuid9"]
     router.get_model_access_groups.return_value = {"grp-a": ["model_name_teamX_uuid9"]}
     router.get_fully_blocked_model_names.return_value = set()
-    router.get_configured_token_limits.return_value = (None, None)
+    router.get_model_listing_info.return_value = None
     router.model_list = [team_dep]
     router.get_model_list.return_value = [team_dep]
 
@@ -919,7 +919,7 @@ async def test_v1_models_keeps_internal_names_when_public_name_flag_disabled(
     router.get_model_names.return_value = ["model_name_teamX_uuid9"]
     router.get_model_access_groups.return_value = {"grp-a": ["model_name_teamX_uuid9"]}
     router.get_fully_blocked_model_names.return_value = set()
-    router.get_configured_token_limits.return_value = (None, None)
+    router.get_model_listing_info.return_value = None
     router.model_list = [team_dep]
     router.get_model_list.return_value = [team_dep]
 
@@ -954,7 +954,7 @@ async def test_v1_models_translates_team_model_with_metadata(monkeypatch):
     router.get_model_names.return_value = ["model_name_teamX_uuid9"]
     router.get_model_access_groups.return_value = {"grp-a": ["model_name_teamX_uuid9"]}
     router.get_fully_blocked_model_names.return_value = set()
-    router.get_configured_token_limits.return_value = (None, None)
+    router.get_model_listing_info.return_value = None
     router.model_list = [team_dep]
     router.get_model_list.return_value = [team_dep]
     router.get_model_group_info.return_value = None
@@ -1000,7 +1000,7 @@ async def test_v1_models_metadata_fallbacks_use_internal_routing_key(monkeypatch
     router.get_model_names.return_value = ["model_name_teamX_uuid9"]
     router.get_model_access_groups.return_value = {"grp-a": ["model_name_teamX_uuid9"]}
     router.get_fully_blocked_model_names.return_value = set()
-    router.get_configured_token_limits.return_value = (None, None)
+    router.get_model_listing_info.return_value = None
     router.model_list = [team_dep]
     router.get_model_list.return_value = [team_dep]
     # Fallbacks are keyed on the internal routing name, as the router stores them.
@@ -1057,7 +1057,7 @@ async def test_v1_models_metadata_does_not_leak_other_team_fallbacks(monkeypatch
     router.get_model_names.return_value = ["model_name_teamX_uuid9"]
     router.get_model_access_groups.return_value = {"grp-a": ["model_name_teamX_uuid9"]}
     router.get_fully_blocked_model_names.return_value = set()
-    router.get_configured_token_limits.return_value = (None, None)
+    router.get_model_listing_info.return_value = None
     router.model_list = [team_x, team_y]
     router.get_model_list.return_value = [team_x, team_y]
     router.fallbacks = [
@@ -1312,7 +1312,7 @@ def test_translate_team_model_names_for_listing_respects_legacy_flag():
 def _public_named_router(*team_rows: dict) -> MagicMock:
     router = MagicMock()
     router.get_model_list.return_value = list(team_rows)
-    router.get_configured_token_limits.return_value = (None, None)
+    router.get_model_listing_info.return_value = None
     return router
 
 
diff --git a/tests/test_litellm/proxy/test_proxy_utils.py b/tests/test_litellm/proxy/test_proxy_utils.py
index dcaad968663..58f62bc4928 100644
--- a/tests/test_litellm/proxy/test_proxy_utils.py
+++ b/tests/test_litellm/proxy/test_proxy_utils.py
@@ -886,6 +886,7 @@ from typing import cast
 
 import litellm
 from litellm.proxy.utils import create_model_info_response
+from litellm.types.router import DeploymentModelListingInfo
 from litellm.types.utils import ModelInfo
 
 
@@ -913,7 +914,7 @@ def test_create_model_info_response_includes_max_tokens_from_lookup():
 
 def test_create_model_info_response_does_not_call_router_group_info():
     router = MagicMock()
-    router.get_configured_token_limits.return_value = (None, None)
+    router.get_model_listing_info.return_value = None
 
     response = create_model_info_response(
         model_id="some-model",
@@ -928,7 +929,9 @@ def test_create_model_info_response_does_not_call_router_group_info():
 
 def test_create_model_info_response_uses_deployment_limits_when_not_in_cost_map():
     router = MagicMock()
-    router.get_configured_token_limits.return_value = (32000, 8000)
+    router.get_model_listing_info.return_value = DeploymentModelListingInfo(
+        cost_map_key="my-custom-deployment", max_input_tokens=32000, max_output_tokens=8000
+    )
 
     response = create_model_info_response(
         model_id="my-custom-deployment",
@@ -944,7 +947,9 @@ def test_create_model_info_response_uses_deployment_limits_when_not_in_cost_map(
 
 def test_create_model_info_response_deployment_limits_override_cost_map():
     router = MagicMock()
-    router.get_configured_token_limits.return_value = (200000, None)
+    router.get_model_listing_info.return_value = DeploymentModelListingInfo(
+        cost_map_key="gpt-4o", max_input_tokens=200000, max_output_tokens=None
+    )
 
     response = create_model_info_response(
         model_id="gpt-4o",
@@ -1878,3 +1883,119 @@ async def test_proxy_only_error_5xx_keeps_traceback_and_runs_sync_callbacks(monk
         Logging.failure_handler = orig_sync_failure
 
     assert "test_proxy_utils" in captured["async_traceback"]
+
+
+def test_create_model_info_response_resolves_alias_to_deployment_model():
+    """A public model name that is not itself a cost-map key must not be resolved through
+    the fallback-generalization rules: `bedrock-claude-opus-5` matches the generic
+    claude-family baseline (200k/64k) by substring, while the deployment it fronts really
+    accepts 1M/128k. Regression for the /v1/models alias resolution introduced in v1.94.0."""
+    from litellm import Router
+
+    saved_model_cost = dict(litellm.model_cost)
+    try:
+        router = Router(
+            model_list=[
+                {
+                    "model_name": "bedrock-claude-opus-5",
+                    "litellm_params": {
+                        "custom_llm_provider": "bedrock",
+                        "model": "bedrock/eu.anthropic.claude-opus-5",
+                    },
+                    "model_info": {"base_model": "eu.anthropic.claude-opus-5"},
+                }
+            ]
+        )
+
+        response = create_model_info_response(
+            model_id="bedrock-claude-opus-5", provider="openai", llm_router=router
+        )
+    finally:
+        litellm.model_cost.clear()
+        litellm.model_cost.update(saved_model_cost)
+
+    assert response["max_input_tokens"] == 1000000
+    assert response["max_output_tokens"] == 128000
+
+
+def test_create_model_info_response_keeps_exact_alias_over_generalized_deployment_model():
+    """Mirror of the alias bug: when the deployment points at a custom backend name that
+    only matches a generalization rule, the listed name's exact cost-map entry is the
+    better answer and must win."""
+    from litellm import Router
+
+    saved_model_cost = dict(litellm.model_cost)
+    try:
+        router = Router(
+            model_list=[
+                {
+                    "model_name": "claude-opus-5",
+                    "litellm_params": {
+                        "custom_llm_provider": "bedrock",
+                        "model": "bedrock/my-claude-opus-5-provisioned",
+                    },
+                }
+            ]
+        )
+
+        response = create_model_info_response(
+            model_id="claude-opus-5", provider="openai", llm_router=router
+        )
+    finally:
+        litellm.model_cost.clear()
+        litellm.model_cost.update(saved_model_cost)
+
+    assert response["max_input_tokens"] == 1000000
+
+
+def test_create_model_info_response_falls_back_to_alias_for_opaque_deployment_name():
+    """An Azure deployment named after the resource rather than the model has no cost-map
+    entry; the listed name still does, and must keep answering."""
+    from litellm import Router
+
+    saved_model_cost = dict(litellm.model_cost)
+    try:
+        router = Router(
+            model_list=[
+                {
+                    "model_name": "gpt-4o",
+                    "litellm_params": {"model": "azure/my-gpt4o-deployment"},
+                }
+            ]
+        )
+
+        response = create_model_info_response(
+            model_id="gpt-4o", provider="openai", llm_router=router
+        )
+    finally:
+        litellm.model_cost.clear()
+        litellm.model_cost.update(saved_model_cost)
+
+    assert response["max_input_tokens"] == 128000
+    assert response["max_output_tokens"] == 16384
+
+
+def test_create_model_info_response_resolves_mode_through_deployment_model():
+    """`mode` is derived from the same lookup, so an aliased embedding deployment
+    currently reports no mode at all; it must report `embedding`."""
+    from litellm import Router
+
+    saved_model_cost = dict(litellm.model_cost)
+    try:
+        router = Router(
+            model_list=[
+                {
+                    "model_name": "my-embeddings",
+                    "litellm_params": {"model": "openai/text-embedding-3-small"},
+                }
+            ]
+        )
+
+        response = create_model_info_response(
+            model_id="my-embeddings", provider="openai", llm_router=router
+        )
+    finally:
+        litellm.model_cost.clear()
+        litellm.model_cost.update(saved_model_cost)
+
+    assert response["mode"] == "embedding"
diff --git a/tests/test_litellm/test_router.py b/tests/test_litellm/test_router.py
index 84f6344be35..37805436f8d 100644
--- a/tests/test_litellm/test_router.py
+++ b/tests/test_litellm/test_router.py
@@ -7271,6 +7271,105 @@ def test_get_configured_token_limits_coerces_numeric_strings():
     assert router.get_configured_token_limits("quoted-limits-model") == (32000, 8000)
 
 
+def test_get_model_listing_info_prefers_base_model_over_litellm_params_model():
+    """The cost-map key comes from base_model when set, so a deployment pointing at an
+    opaque backend name still resolves the real catalog entry."""
+    router = litellm.Router(
+        model_list=[
+            {
+                "model_name": "bedrock-claude-opus-5",
+                "litellm_params": {"model": "bedrock/eu.anthropic.claude-opus-5"},
+                "model_info": {"base_model": "eu.anthropic.claude-opus-5"},
+            }
+        ]
+    )
+
+    info = router.get_model_listing_info("bedrock-claude-opus-5")
+    assert info is not None
+    assert info.cost_map_key == "eu.anthropic.claude-opus-5"
+
+
+def test_get_model_listing_info_falls_back_to_litellm_params_model():
+    router = litellm.Router(
+        model_list=[
+            {
+                "model_name": "bedrock-claude-opus-5",
+                "litellm_params": {"model": "bedrock/eu.anthropic.claude-opus-5"},
+            }
+        ]
+    )
+
+    info = router.get_model_listing_info("bedrock-claude-opus-5")
+    assert info is not None
+    assert info.cost_map_key == "bedrock/eu.anthropic.claude-opus-5"
+
+
+def test_get_model_listing_info_ignores_blank_base_model():
+    """A base_model set to an empty string is absent, not a cost-map key."""
+    router = litellm.Router(
+        model_list=[
+            {
+                "model_name": "bedrock-claude-opus-5",
+                "litellm_params": {"model": "bedrock/eu.anthropic.claude-opus-5"},
+                "model_info": {"base_model": ""},
+            }
+        ]
+    )
+
+    info = router.get_model_listing_info("bedrock-claude-opus-5")
+    assert info is not None
+    assert info.cost_map_key == "bedrock/eu.anthropic.claude-opus-5"
+
+
+def test_get_model_listing_info_returns_none_for_unknown_name():
+    router = litellm.Router(
+        model_list=[
+            {
+                "model_name": "no-limits-model",
+                "litellm_params": {"model": "openai/some-unmapped-model"},
+            }
+        ]
+    )
+
+    assert router.get_model_listing_info("not-a-real-model") is None
+
+
+def test_get_model_listing_info_carries_configured_limits():
+    router = litellm.Router(
+        model_list=[
+            {
+                "model_name": "my-custom-model",
+                "litellm_params": {"model": "openai/some-unmapped-model"},
+                "model_info": {"max_input_tokens": 32000, "max_output_tokens": 8000},
+            }
+        ]
+    )
+
+    info = router.get_model_listing_info("my-custom-model")
+    assert info is not None
+    assert (info.max_input_tokens, info.max_output_tokens) == (32000, 8000)
+
+
+def test_get_model_listing_info_skips_wildcard_pattern_matching():
+    router = litellm.Router(
+        model_list=[
+            {
+                "model_name": "bedrock/*",
+                "litellm_params": {"model": "bedrock/*"},
+                "model_info": {"max_input_tokens": 12345},
+            }
+        ]
+    )
+
+    with patch.object(
+        router.pattern_router, "route", side_effect=AssertionError("pattern route called")
+    ):
+        assert (
+            router.get_model_listing_info("bedrock/anthropic.claude-3-5-sonnet-20240620-v1:0")
+            is None
+        )
+
+
 @pytest.mark.asyncio
 async def test_acreate_batch_disable_fallbacks_surfaces_owning_provider_error():
     router = litellm.Router(