diff --git a/litellm/utils.py b/litellm/utils.py
index 5e9e115ed54..94577745e23 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -3430,7 +3430,15 @@ def get_optional_params_embeddings(
     special_params: Final = passed_params.pop("kwargs")
 
     drop_params = passed_params.pop("drop_params", None)
+    if drop_params is None:
+        drop_params = special_params.pop("drop_params", None)
+    if drop_params is None:
+        drop_params = litellm.drop_params or False
+
     additional_drop_params = passed_params.pop("additional_drop_params", None)
+    if additional_drop_params is None:
+        additional_drop_params = special_params.pop("additional_drop_params", None)
+
     allowed_openai_params = passed_params.pop("allowed_openai_params", None) or []
     # Remove function objects from passed_params to avoid JSON serialization errors
     passed_params.pop("get_supported_openai_params", None)
@@ -3761,6 +3769,17 @@ def get_optional_params_embeddings(
     if "extra_body" in final_params and len(final_params["extra_body"]) == 0:
         final_params.pop("extra_body", None)
 
+    # High-performance check optimized to avoid allocations in hot paths
+    if (litellm.drop_params is True or drop_params is True) and (
+        custom_llm_provider == "azure" or custom_llm_provider in litellm.openai_compatible_providers
+    ):
+        if (
+            model is not None
+            and "text-embedding-3" not in model
+            and "dimensions" not in (allowed_openai_params or [])
+        ):
+            final_params.pop("dimensions", None)
+
     return final_params
 
 
diff --git a/tests/local_testing/test_get_optional_params_embeddings.py b/tests/local_testing/test_get_optional_params_embeddings.py
index 60ccfbfaebe..60b71c9b849 100644
--- a/tests/local_testing/test_get_optional_params_embeddings.py
+++ b/tests/local_testing/test_get_optional_params_embeddings.py
@@ -160,3 +160,82 @@ def test_openai_non_text_embedding_3_drop_params_global():
         assert "dimensions" not in optional_params
     finally:
         litellm.drop_params = prev_drop_params
+
+
+def test_azure_and_openai_compatible_drop_params():
+    """
+    Verify that dimensions parameter is correctly dropped on Azure and OpenAI compatible calls
+    when drop_params is True (either per-call or globally), and raises UnsupportedParamsError
+    otherwise.
+    """
+    from litellm.exceptions import UnsupportedParamsError
+
+    prev_drop_params = litellm.drop_params
+
+    # 1. Test Azure drop_params=True (per-call)
+    litellm.drop_params = False
+    model, custom_llm_provider, _, _ = get_llm_provider(
+        model="azure/dummy-model"
+    )
+    optional_params = get_optional_params_embeddings(
+        model=model,
+        dimensions=512,
+        custom_llm_provider=custom_llm_provider,
+        drop_params=True,
+    )
+    assert "dimensions" not in optional_params
+
+    # 2. Test Azure drop_params=True (global)
+    litellm.drop_params = True
+    optional_params = get_optional_params_embeddings(
+        model=model,
+        dimensions=512,
+        custom_llm_provider=custom_llm_provider,
+    )
+    assert "dimensions" not in optional_params
+
+    # 3. Test Azure drop_params=False (preserves dimensions parameter)
+    litellm.drop_params = False
+    optional_params = get_optional_params_embeddings(
+        model=model,
+        dimensions=512,
+        custom_llm_provider=custom_llm_provider,
+    )
+    assert "dimensions" in optional_params
+    assert optional_params["dimensions"] == 512
+
+    # 4. Test OpenAI compatible (Together AI) drop_params=True (per-call)
+    model, custom_llm_provider, _, _ = get_llm_provider(
+        model="together_ai/dummy-model"
+    )
+    optional_params = get_optional_params_embeddings(
+        model=model,
+        dimensions=512,
+        custom_llm_provider=custom_llm_provider,
+        drop_params=True,
+    )
+    assert "dimensions" not in optional_params
+
+    # 5. Test OpenAI compatible (Together AI) drop_params=True (global)
+    litellm.drop_params = True
+    optional_params = get_optional_params_embeddings(
+        model=model,
+        dimensions=512,
+        custom_llm_provider=custom_llm_provider,
+    )
+    assert "dimensions" not in optional_params
+
+    # 6. Test OpenAI compatible (Together AI) drop_params=False (preserves dimensions parameter)
+    litellm.drop_params = False
+    optional_params = get_optional_params_embeddings(
+        model=model,
+        dimensions=512,
+        custom_llm_provider=custom_llm_provider,
+    )
+    assert "dimensions" in optional_params
+    assert optional_params["dimensions"] == 512
+
+    # Restore state
+    litellm.drop_params = prev_drop_params
+
+