diff --git a/litellm/llms/bedrock/chat/chat_completions/transformation.py b/litellm/llms/bedrock/chat/chat_completions/transformation.py
index 34a756a54e2..1477a46dcad 100644
--- a/litellm/llms/bedrock/chat/chat_completions/transformation.py
+++ b/litellm/llms/bedrock/chat/chat_completions/transformation.py
@@ -34,7 +34,7 @@ from litellm.llms.base_llm.chat.transformation import BaseLLMException
 from litellm.llms.bedrock.base_aws_llm import BaseAWSLLM
 from litellm.llms.bedrock.common_utils import (
     BedrockError,
-    bedrock_model_supports_sampling_params,
+    bedrock_model_is_openai_gpt,
     split_bedrock_region_path,
 )
 from litellm.llms.openai.chat.gpt_transformation import OpenAIChatCompletionStreamingHandler
@@ -50,37 +50,42 @@ if TYPE_CHECKING:
 REASONING_OPEN_TAG: Final = "<reasoning>"
 REASONING_CLOSE_TAG: Final = "</reasoning>"
 
-GPT_CHAT_COMPLETIONS_REFUSED_PARAMS: Final = frozenset(
-    ("frequency_penalty", "presence_penalty", "logprobs", "top_logprobs")
-)
 CHAT_COMPLETIONS_REFUSED_PARAMS_BY_FAMILY: Final = MappingProxyType(
     {
-        "openai.gpt-5": GPT_CHAT_COMPLETIONS_REFUSED_PARAMS,
-        "openai.gpt-6": GPT_CHAT_COMPLETIONS_REFUSED_PARAMS,
         "openai.gpt-oss": frozenset(("logit_bias",)),
         "xai.": frozenset(("frequency_penalty", "presence_penalty")),
     }
 )
-
-
-CHAT_COMPLETIONS_SAMPLING_PARAMS: Final = frozenset(("temperature", "top_p"))
+GPT_CHAT_COMPLETIONS_PARAMS_REFUSED_WHILE_REASONING: Final = frozenset(
+    ("temperature", "top_p", "frequency_penalty", "presence_penalty", "logprobs", "top_logprobs")
+)
 
 
 def chat_completions_params_refused_for(model: str) -> frozenset[str]:
     """The OpenAI params AWS's Chat Completions endpoint rejects for this model whatever else the request says.
 
-    Each family answers them with a 400 (GPT 5.6 and newer, gpt-oss) or a 503 (Grok), and a model whose price-map row
-    says ``supports_sampling_params: false`` answers ``temperature`` and ``top_p`` with a 400 too, where
-    Converse dropped the same params under ``drop_params``, so the native config leaves them out of its
-    supported list and the usual drop-or-raise handling applies before the request reaches AWS.
+    GPT-OSS answers ``logit_bias`` with a 400 and Grok answers the penalties with a 503, so the native config leaves
+    them out of its supported params and litellm refuses them, or drops them under ``drop_params``, before sending.
     """
     model_id: Final = split_bedrock_region_path(model)[1]
-    family_refused: Final = frozenset().union(
+    return frozenset().union(
         *(refused for family, refused in CHAT_COMPLETIONS_REFUSED_PARAMS_BY_FAMILY.items() if family in model_id)
     )
-    if bedrock_model_supports_sampling_params(model):
-        return family_refused
-    return family_refused | CHAT_COMPLETIONS_SAMPLING_PARAMS
+
+
+def chat_completions_params_refused_while_reasoning(model: str, params: Mapping[str, object]) -> frozenset[str]:
+    """The params of this request that AWS ties to ``reasoning_effort: "none"`` on the GPT-5.x and GPT-6.x families.
+
+    AWS answers ``temperature``, ``top_p``, the penalties, and logprobs with a 400 while the model reasons, which
+    is every effort but ``"none"`` and the default when none is set, and accepts all of them under ``"none"``.
+    """
+    if params.get("reasoning_effort") == "none" or not bedrock_model_is_openai_gpt(model):
+        return frozenset()
+    return GPT_CHAT_COMPLETIONS_PARAMS_REFUSED_WHILE_REASONING & frozenset(params)
+
+
+def _without_params(params: Mapping[str, object], dropped: frozenset[str]) -> Mapping[str, object]:
+    return MappingProxyType({key: value for key, value in params.items() if key not in dropped})
 
 
 CHAT_COMPLETIONS_REFUSED_REASONING_EFFORTS_BY_FAMILY: Final = MappingProxyType({"xai.": frozenset(("none",))})
@@ -105,7 +110,7 @@ def chat_completions_reasoning_efforts_refused_for(model: str) -> frozenset[str]
 def without_refused_reasoning_effort(model: str, params: Mapping[str, object]) -> Mapping[str, object]:
     if params.get("reasoning_effort") not in chat_completions_reasoning_efforts_refused_for(model):
         return params
-    return MappingProxyType({key: value for key, value in params.items() if key != "reasoning_effort"})
+    return _without_params(params, frozenset(("reasoning_effort",)))
 
 
 def _held_close_tag_prefix(text: str) -> int:
@@ -329,8 +334,20 @@ class AmazonBedrockRuntimeChatCompletionsConfig(OpenAILikeChatConfig):
             drop_params=drop_params,
             replace_max_completion_tokens_with_max_tokens=replace_max_completion_tokens_with_max_tokens,
         )
+        refused_while_reasoning: Final = chat_completions_params_refused_while_reasoning(model, non_default_params)
+        if refused_while_reasoning and not (litellm.drop_params or drop_params):
+            raise litellm.utils.UnsupportedParamsError(
+                message=(
+                    f"{model} doesn't support {sorted(refused_while_reasoning)} while reasoning is active on "
+                    "Bedrock's Chat Completions endpoint. Set reasoning_effort to 'none' to send them, or set "
+                    "`litellm.drop_params = True` to drop them"
+                ),
+                status_code=400,
+            )
         return dict(  # mutable-ok: get_optional_params keeps filling this dict
-            without_refused_reasoning_effort(model, with_max_completion_tokens(mapped))
+            without_refused_reasoning_effort(
+                model, with_max_completion_tokens(_without_params(mapped, refused_while_reasoning))
+            )
         )
 
     def _inference_params(
diff --git a/litellm/llms/bedrock/common_utils.py b/litellm/llms/bedrock/common_utils.py
index bf40e9e93be..b45d4f40934 100644
--- a/litellm/llms/bedrock/common_utils.py
+++ b/litellm/llms/bedrock/common_utils.py
@@ -882,17 +882,9 @@ def bedrock_runtime_chat_completions_enforces_response_format(model: str) -> boo
     return _bedrock_price_map_flag(model, "supports_bedrock_runtime_chat_completions_response_format")
 
 
-def bedrock_model_supports_sampling_params(model: str) -> bool:
-    """Whether the model takes ``temperature`` and ``top_p``: false only when a price-map row says so.
-
-    The GPT 5.6 and newer rows carry ``supports_sampling_params: false`` because AWS answers either param with
-    a 400 on Converse and on native Chat Completions alike, so both routes drop them under ``drop_params`` and
-    refuse them otherwise.
-    """
-    return not any(
-        entry is not None and entry.get("supports_sampling_params") is False
-        for entry in _bedrock_price_map_entries(model)
-    )
+def bedrock_model_is_openai_gpt(model: str) -> bool:
+    """A GPT-5.x or GPT-6.x id, never GPT-OSS: the families whose sampling params AWS ties to reasoning being off."""
+    return _openai_gpt_version(model) is not None
 
 
 BEDROCK_CONVERSE_ONLY_REQUEST_KEYS: Final = frozenset(
diff --git a/tests/unit/llms/bedrock/chat/chat_completions/test_bedrock_chat_completions_transformation.py b/tests/unit/llms/bedrock/chat/chat_completions/test_bedrock_chat_completions_transformation.py
index 37d96c45d6d..5ea3c8c31bd 100644
--- a/tests/unit/llms/bedrock/chat/chat_completions/test_bedrock_chat_completions_transformation.py
+++ b/tests/unit/llms/bedrock/chat/chat_completions/test_bedrock_chat_completions_transformation.py
@@ -599,13 +599,13 @@ def test_supported_params_include_reasoning_effort_for_gpt56(local_cost_map):
     [
         (
             "bedrock/global.openai.gpt-5.6-sol",
-            ("frequency_penalty", "presence_penalty", "logprobs", "top_logprobs", "temperature", "top_p", "n"),
-            ("logit_bias", "reasoning_effort", "tools", "functions", "stop"),
+            ("n",),
+            ("temperature", "top_p", "frequency_penalty", "logprobs", "logit_bias", "reasoning_effort", "stop"),
         ),
         (
             "bedrock/us.openai.gpt-6.1-sol",
-            ("frequency_penalty", "presence_penalty", "logprobs", "top_logprobs", "temperature", "top_p", "n"),
-            ("logit_bias", "reasoning_effort", "tools", "functions", "stop"),
+            ("n",),
+            ("temperature", "top_p", "presence_penalty", "top_logprobs", "reasoning_effort", "tools", "functions"),
         ),
         (
             "us.xai.grok-4.6",
@@ -628,11 +628,6 @@ def test_supported_params_leave_out_what_each_family_refuses(local_cost_map, mod
 @pytest.mark.parametrize(
     "model, param",
     [
-        ("bedrock/chat_completions/global.openai.gpt-5.6-sol", {"frequency_penalty": 0.5}),
-        ("bedrock/chat_completions/global.openai.gpt-5.6-sol", {"logprobs": True, "top_logprobs": 2}),
-        ("bedrock/chat_completions/global.openai.gpt-5.6-sol", {"temperature": 0.2}),
-        ("bedrock/chat_completions/global.openai.gpt-6-sol", {"top_p": 0.9}),
-        ("bedrock/chat_completions/global.openai.gpt-6-sol", {"presence_penalty": 0.5}),
         ("bedrock/chat_completions/us.xai.grok-4.6", {"presence_penalty": 0.5}),
         ("bedrock/chat_completions/openai.gpt-oss-20b-1:0", {"logit_bias": {"1": 1}}),
     ],
@@ -650,6 +645,51 @@ def test_refused_params_are_dropped_or_refused_before_reaching_aws(local_cost_ma
     assert param.keys().isdisjoint(json.loads(requests[0].content))
 
 
+GPT_PARAMS_TIED_TO_REASONING_OFF = {
+    "temperature": 0.2,
+    "top_p": 0.9,
+    "frequency_penalty": 0.5,
+    "presence_penalty": 0.5,
+    "logprobs": True,
+    "top_logprobs": 2,
+}
+
+
+@pytest.mark.parametrize("model", ["bedrock/global.openai.gpt-5.6-sol", "bedrock/us.openai.gpt-6-sol"])
+@pytest.mark.parametrize("reasoning", [{}, {"reasoning_effort": "low"}], ids=["effort_unset", "effort_low"])
+@pytest.mark.parametrize("param", list(GPT_PARAMS_TIED_TO_REASONING_OFF))
+def test_gpt_sampling_params_are_refused_or_dropped_while_reasoning(
+    local_cost_map, fake_aws_env, model, reasoning, param
+):
+    requests, client = _recording_client(json=_chat_completion_json("ok", model.removeprefix("bedrock/")))
+    request = {"model": model, "messages": [{"role": "user", "content": "hello"}], "client": client, **reasoning}
+    with pytest.raises(litellm.UnsupportedParamsError, match=param):
+        litellm.completion(**request, **{param: GPT_PARAMS_TIED_TO_REASONING_OFF[param]})
+    litellm.completion(**request, drop_params=True, **{param: GPT_PARAMS_TIED_TO_REASONING_OFF[param]})
+
+    body = json.loads(requests[0].content)
+    assert str(requests[0].url).endswith("/openai/v1/chat/completions")
+    assert param not in body
+    assert body.get("reasoning_effort") == reasoning.get("reasoning_effort")
+
+
+@pytest.mark.parametrize("model", ["bedrock/global.openai.gpt-5.6-sol", "bedrock/us.openai.gpt-6-sol"])
+def test_gpt_sampling_params_reach_aws_with_reasoning_effort_none(local_cost_map, fake_aws_env, model):
+    requests, client = _recording_client(json=_chat_completion_json("ok", model.removeprefix("bedrock/")))
+    litellm.completion(
+        model=model,
+        messages=[{"role": "user", "content": "hello"}],
+        reasoning_effort="none",
+        client=client,
+        **GPT_PARAMS_TIED_TO_REASONING_OFF,
+    )
+
+    body = json.loads(requests[0].content)
+    assert str(requests[0].url).endswith("/openai/v1/chat/completions")
+    assert body["reasoning_effort"] == "none"
+    assert {key: body[key] for key in GPT_PARAMS_TIED_TO_REASONING_OFF} == GPT_PARAMS_TIED_TO_REASONING_OFF
+
+
 def test_split_reasoning_tag_splits_leading_tag():
     assert split_reasoning_tag("<reasoning>plan it\n</reasoning>\n\nHello") == ("plan it\n", "Hello")