diff --git a/litellm/constants.py b/litellm/constants.py
index 69ff3cf7a5e..30abf1148bb 100644
--- a/litellm/constants.py
+++ b/litellm/constants.py
@@ -476,10 +476,10 @@ AZURE_FILE_SEARCH_COST_PER_GB_PER_DAY: Final = float(
     os.getenv("AZURE_FILE_SEARCH_COST_PER_GB_PER_DAY", 0.1)  # $0.1 USD per 1 GB/Day
 )
 AZURE_COMPUTER_USE_INPUT_COST_PER_1K_TOKENS: Final = float(
-    os.getenv("AZURE_COMPUTER_USE_INPUT_COST_PER_1K_TOKENS", 3.0)  # $0.003 USD per 1K Tokens
+    os.getenv("AZURE_COMPUTER_USE_INPUT_COST_PER_1K_TOKENS", 0.003)  # $0.003 USD per 1K Tokens
 )
 AZURE_COMPUTER_USE_OUTPUT_COST_PER_1K_TOKENS: Final = float(
-    os.getenv("AZURE_COMPUTER_USE_OUTPUT_COST_PER_1K_TOKENS", 12.0)  # $0.012 USD per 1K Tokens
+    os.getenv("AZURE_COMPUTER_USE_OUTPUT_COST_PER_1K_TOKENS", 0.012)  # $0.012 USD per 1K Tokens
 )
 AZURE_VECTOR_STORE_COST_PER_GB_PER_DAY: Final = float(
     os.getenv("AZURE_VECTOR_STORE_COST_PER_GB_PER_DAY", 0.1)  # $0.1 USD per 1 GB/Day (same as file search)
@@ -1101,7 +1101,8 @@ clarifai_models: Final[set] = set(
         "clarifai/qwen.qwenLM.Qwen3-30B-A3B-Instruct-2507",
         "clarifai/qwen.qwen3.qwen3-next-80B-A3B-Thinking",
         "clarifai/openai.chat-completion.gpt-oss-120b",
-        "clarifai/qwen.qwenLM.Qwen3-30B-A3B-Thinking-2507clarifai/openai.chat-completion.gpt-5-nano",
+        "clarifai/qwen.qwenLM.Qwen3-30B-A3B-Thinking-2507",
+        "clarifai/openai.chat-completion.gpt-5-nano",
         "clarifai/openai.chat-completion.gpt-4o",
         "clarifai/gcp.generate.gemini-2_5-pro",
         "clarifai/anthropic.completion.claude-sonnet-4",
diff --git a/tests/unit/test_constants.py b/tests/unit/test_constants.py
index d5981b906a3..9e0ca44edcc 100644
--- a/tests/unit/test_constants.py
+++ b/tests/unit/test_constants.py
@@ -1,6 +1,7 @@
 import ast
 import inspect
 import json
+from typing import Final
 from unittest import mock
 
 import httpx
@@ -15,6 +16,26 @@ import litellm
 from litellm import constants
 
 
+def test_azure_computer_use_default_costs(monkeypatch: pytest.MonkeyPatch) -> None:
+    """Match Azure pricing, verified 2026-10-04: https://azure.microsoft.com/en-us/pricing/details/openai/"""
+    budget_notice_state: Final[bool] = constants.budget_reservation_disabled_info_emitted
+    try:
+        with monkeypatch.context() as clean_environment:
+            clean_environment.delenv("AZURE_COMPUTER_USE_INPUT_COST_PER_1K_TOKENS", raising=False)
+            clean_environment.delenv("AZURE_COMPUTER_USE_OUTPUT_COST_PER_1K_TOKENS", raising=False)
+            default_constants: Final = importlib.reload(constants)
+            assert default_constants.AZURE_COMPUTER_USE_INPUT_COST_PER_1K_TOKENS == 0.003
+            assert default_constants.AZURE_COMPUTER_USE_OUTPUT_COST_PER_1K_TOKENS == 0.012
+    finally:
+        importlib.reload(constants)
+        constants.budget_reservation_disabled_info_emitted = budget_notice_state
+
+
+def test_clarifai_models_are_distinct() -> None:
+    assert "clarifai/qwen.qwenLM.Qwen3-30B-A3B-Thinking-2507" in constants.clarifai_models
+    assert "clarifai/openai.chat-completion.gpt-5-nano" in constants.clarifai_models
+
+
 def _build_constant_env_var_map() -> dict[str, str]:
     """
     Build a mapping of CONSTANT_NAME -> ENV_VAR_NAME by parsing constants.py.