diff --git a/tests/test_litellm/llms/databricks/test_databricks_cost_calculator.py b/tests/test_litellm/llms/databricks/test_databricks_cost_calculator.py
index d4f96abfe37..29ad8ee4b6e 100644
--- a/tests/test_litellm/llms/databricks/test_databricks_cost_calculator.py
+++ b/tests/test_litellm/llms/databricks/test_databricks_cost_calculator.py
@@ -64,10 +64,6 @@ PUBLISHED_DBU_PER_MILLION: Final = {
     "databricks/databricks-kimi-k3": ("42.857", "214.286", "42.857", "4.286"),
     "databricks/databricks-glm-5-2": ("20.000", "62.857", "20.000", "3.714"),
 }
-MILLION_TOKEN_CONTEXT_MODELS: Final = (
-    "databricks/databricks-kimi-k3",
-    "databricks/databricks-glm-5-2",
-)
 PROMOTIONAL_DISCOUNT: Final = 0.80
 PROMOTION_EXPIRES: Final = "2027-01-31"
 ENTRIES_STORING_PROMOTIONAL_RATE: Final = (
@@ -217,33 +213,7 @@ def test_every_model_without_published_cache_dbu_bills_cache_at_its_own_input_ra
             assert info[field] == pytest.approx(info["input_cost_per_token"]), (model, field)
 
 
-@pytest.mark.parametrize("model", MILLION_TOKEN_CONTEXT_MODELS)
-def test_million_token_context_models_price_and_size_at_published_values(
-    local_model_cost_map: None,
-    model: str,
-) -> None:
-    info: Final = _model_info(model)
-    input_dbu, output_dbu, _, cache_read_dbu = PUBLISHED_DBU_PER_MILLION[model]
-
-    assert info["input_cost_per_token"] == _dollars_per_token(input_dbu)
-    assert info["output_cost_per_token"] == _dollars_per_token(output_dbu)
-    assert info["cache_read_input_token_cost"] == _dollars_per_token(cache_read_dbu)
-    assert info["max_input_tokens"] == 1000000
-    assert info["mode"] == "chat"
-    assert info["supports_prompt_caching"] is True
-
-
-def test_output_ceilings_match_what_each_vendor_publishes(local_model_cost_map: None) -> None:
-    assert _model_info("databricks/databricks-kimi-k3")["max_output_tokens"] == 1048576
-    assert _model_info("databricks/databricks-glm-5-2")["max_output_tokens"] == 131072
-
-
-def test_kimi_k3_accepts_images_while_glm_5_2_is_text_only(local_model_cost_map: None) -> None:
-    assert _model_info("databricks/databricks-kimi-k3")["supports_vision"] is True
-    assert _model_info("databricks/databricks-glm-5-2")["supports_vision"] is False
-
-
-@pytest.mark.parametrize("model", NEW_MODELS + MILLION_TOKEN_CONTEXT_MODELS)
+@pytest.mark.parametrize("model", NEW_MODELS)
 def test_backup_price_map_matches_main(model: str) -> None:
     main_cost: Final = json.loads(MAIN_PRICES.read_text())
     backup_cost: Final = json.loads(BACKUP_PRICES.read_text())
diff --git a/tests/test_litellm/llms/zai/test_zai_provider.py b/tests/test_litellm/llms/zai/test_zai_provider.py
index ad87a65a740..38ddac8d510 100644
--- a/tests/test_litellm/llms/zai/test_zai_provider.py
+++ b/tests/test_litellm/llms/zai/test_zai_provider.py
@@ -128,36 +128,6 @@ def test_glm47_cost_calculation(local_model_cost_map):
     assert math.isclose(completion_cost, 2.2, rel_tol=1e-6)
 
 
-def test_glm53_context_and_capabilities(local_model_cost_map):
-    """GLM-5.3 ships a 1M context with 128K max output, text in, reasoning always on"""
-
-    info = litellm.model_cost["zai/glm-5.3"]
-
-    assert info["max_input_tokens"] == 1000000
-    assert info["max_output_tokens"] == 128000
-    assert info["supports_reasoning"] is True
-    assert info["supports_prompt_caching"] is True
-    assert info.get("supports_vision") is not True
-
-
-def test_glm53_cost_calculation(local_model_cost_map):
-    """GLM-5.3 bills $1.4/M input, $4.4/M output, $0.26/M on a cache hit"""
-
-    prompt_cost, completion_cost = cost_per_token(
-        model="zai/glm-5.3",
-        prompt_tokens=1000000,
-        completion_tokens=1000000,
-    )
-
-    assert math.isclose(prompt_cost, 1.4, rel_tol=1e-6)
-    assert math.isclose(completion_cost, 4.4, rel_tol=1e-6)
-    assert math.isclose(
-        litellm.model_cost["zai/glm-5.3"]["cache_read_input_token_cost"] * 1000000,
-        0.26,
-        rel_tol=1e-6,
-    )
-
-
 @pytest.mark.asyncio
 async def test_zai_completion_call(respx_mock, zai_response, monkeypatch):
     """Test completion call with zai provider using mocked response"""