diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 8c8b909493a..1dc84f06aa7 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -14614,7 +14614,7 @@
         "supports_reasoning": true,
         "supports_sampling_params": false,
         "supports_tool_choice": true,
-        "supports_vision": false,
+        "supports_vision": true,
         "thinking_always_on": true
     },
     "databricks/databricks-claude-haiku-4-5": {
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 8c8b909493a..1dc84f06aa7 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -14614,7 +14614,7 @@
         "supports_reasoning": true,
         "supports_sampling_params": false,
         "supports_tool_choice": true,
-        "supports_vision": false,
+        "supports_vision": true,
         "thinking_always_on": true
     },
     "databricks/databricks-claude-haiku-4-5": {
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 0f1652b1b2a..81517e23b53 100644
--- a/tests/test_litellm/llms/databricks/test_databricks_cost_calculator.py
+++ b/tests/test_litellm/llms/databricks/test_databricks_cost_calculator.py
@@ -28,12 +28,45 @@ PRICE_FIELDS: Final = (
     "cache_read_input_token_cost",
 )
 PUBLISHED_DBU_PER_MILLION: Final = {
-    "databricks/databricks-claude-opus-4-7": ("71.429", "357.143", "89.286", "7.143"),
-    "databricks/databricks-claude-opus-4-8": ("71.429", "357.143", "89.286", "7.143"),
-    "databricks/databricks-claude-opus-5": ("71.429", "357.143", "89.286", "7.143"),
-    "databricks/databricks-claude-sonnet-5": ("42.857", "214.286", "53.571", "4.286"),
     "databricks/databricks-claude-fable-5": ("142.858", "714.286", "178.572", "14.286"),
+    "databricks/databricks-claude-opus-5": ("71.429", "357.143", "89.286", "7.143"),
+    "databricks/databricks-claude-opus-4-8": ("71.429", "357.143", "89.286", "7.143"),
+    "databricks/databricks-claude-opus-4-7": ("71.429", "357.143", "89.286", "7.143"),
+    "databricks/databricks-claude-opus-4-6": ("71.429", "357.143", "89.286", "7.143"),
+    "databricks/databricks-claude-opus-4-5": ("71.429", "357.143", "89.286", "7.143"),
+    "databricks/databricks-claude-opus-4-1": ("214.286", "1071.429", "267.857", "21.429"),
+    "databricks/databricks-claude-opus-4": ("214.286", "1071.429", "267.857", "21.429"),
+    "databricks/databricks-claude-sonnet-5": ("42.857", "214.286", "53.571", "4.286"),
+    "databricks/databricks-claude-sonnet-4-6": ("42.857", "214.286", "53.571", "4.286"),
+    "databricks/databricks-claude-sonnet-4-5": ("42.857", "214.286", "53.571", "4.286"),
+    "databricks/databricks-claude-sonnet-4-1": ("42.857", "214.286", "53.571", "4.286"),
+    "databricks/databricks-claude-sonnet-4": ("42.857", "214.286", "53.571", "4.286"),
+    "databricks/databricks-claude-3-7-sonnet": ("42.857", "214.286", "53.571", "4.286"),
+    "databricks/databricks-claude-haiku-4-5": ("14.286", "71.429", "17.857", "1.429"),
+    "databricks/databricks-gpt-5": ("17.857", "142.857", "17.857", "1.786"),
+    "databricks/databricks-gpt-5-1": ("17.857", "142.857", "17.857", "1.786"),
+    "databricks/databricks-gpt-5-1-codex-max": ("17.857", "142.857", "17.857", "1.786"),
+    "databricks/databricks-gpt-5-1-codex-mini": ("3.571", "28.571", "3.571", "0.357"),
+    "databricks/databricks-gpt-5-mini": ("3.571", "28.571", "3.571", "0.357"),
+    "databricks/databricks-gpt-5-nano": ("0.714", "5.714", "0.714", "0.071"),
+    "databricks/databricks-gpt-5-2": ("25.000", "200.000", "25.000", "2.500"),
+    "databricks/databricks-gpt-5-2-codex": ("25.000", "200.000", "25.000", "2.500"),
+    "databricks/databricks-gpt-5-3-codex": ("25.000", "200.000", "25.000", "2.500"),
+    "databricks/databricks-gpt-5-4": ("35.714", "214.286", "35.714", "3.571"),
+    "databricks/databricks-gpt-5-4-mini": ("10.714", "64.286", "10.714", "1.071"),
+    "databricks/databricks-gpt-5-4-nano": ("2.857", "17.857", "2.857", "0.286"),
+    "databricks/databricks-gemini-3-1-pro": ("35.714", "214.286", "35.714", "3.571"),
+    "databricks/databricks-gemini-3-pro": ("35.714", "214.286", "35.714", "3.571"),
+    "databricks/databricks-gemini-3-flash": ("8.929", "53.571", "8.929", "0.893"),
+    "databricks/databricks-gemini-3-1-flash-lite": ("4.464", "26.786", "4.464", "0.446"),
+    "databricks/databricks-gemini-2-5-pro": ("22.321", "178.571", "22.321", "2.232"),
+    "databricks/databricks-gemini-2-5-flash": ("5.357", "44.643", "5.357", "0.536"),
 }
+OLDER_VINTAGE_MODELS: Final = (
+    "databricks/databricks-gemini-2-5-pro",
+    "databricks/databricks-gemini-2-5-flash",
+)
+CACHE_FIELDS: Final = ("cache_creation_input_token_cost", "cache_read_input_token_cost")
 
 
 def _model_info(model: str) -> ModelInfo:
@@ -102,6 +135,15 @@ def test_new_models_price_at_published_dbu_rates(local_model_cost_map: None, mod
         assert info[field] == _dollars_per_token(dbu_per_million), field
 
 
+@pytest.mark.parametrize("model", sorted(set(PUBLISHED_DBU_PER_MILLION) - set(OLDER_VINTAGE_MODELS)))
+def test_cache_rates_derive_from_published_cache_dbu(local_model_cost_map: None, model: str) -> None:
+    info: Final = _model_info(model)
+    cache_dbu_per_million: Final = PUBLISHED_DBU_PER_MILLION[model][2:]
+
+    for field, dbu_per_million in zip(CACHE_FIELDS, cache_dbu_per_million):
+        assert info[field] == _dollars_per_token(dbu_per_million), field
+
+
 @pytest.mark.parametrize("model", NEW_MODELS)
 def test_new_models_carry_cache_pricing(local_model_cost_map: None, model: str) -> None:
     info: Final = _model_info(model)
@@ -119,7 +161,7 @@ def test_every_priced_databricks_model_declares_cache_rates(local_model_cost_map
         for model, info in litellm.model_cost.items()
         if model.startswith("databricks/")
         and info.get("input_cost_per_token") is not None
-        and info.get("cache_read_input_token_cost") is None
+        and any(info.get(field) is None for field in CACHE_FIELDS)
     ]
 
     assert undeclared == []
@@ -139,12 +181,28 @@ def test_models_without_a_cache_discount_bill_cache_tokens_at_the_input_rate(
 
     prompt_cost, _ = cost_per_token(model=model, usage=usage)
 
-    assert info["cache_read_input_token_cost"] == info["input_cost_per_token"]
-    assert info["cache_creation_input_token_cost"] == info["input_cost_per_token"]
     assert prompt_cost == pytest.approx(10000 * info["input_cost_per_token"])
     assert prompt_cost > 8000 * info["input_cost_per_token"]
 
 
+def test_every_model_without_published_cache_dbu_bills_cache_at_its_own_input_rate(
+    local_model_cost_map: None,
+) -> None:
+    without_published_rates: Final = [
+        model
+        for model, info in litellm.model_cost.items()
+        if model.startswith("databricks/")
+        and info.get("input_cost_per_token")
+        and model not in PUBLISHED_DBU_PER_MILLION
+    ]
+
+    assert len(without_published_rates) == 14
+    for model in without_published_rates:
+        info = _model_info(model)
+        for field in CACHE_FIELDS:
+            assert info[field] == pytest.approx(info["input_cost_per_token"]), (model, field)
+
+
 @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())
@@ -163,13 +221,7 @@ def test_sonnet_5_ships_standard_rates_not_introductory(local_model_cost_map: No
         assert sonnet_5[field] == pytest.approx(sonnet_4_6[field]), field
 
 
-@pytest.mark.parametrize(
-    "model",
-    [
-        "databricks/databricks-gemini-2-5-pro",
-        "databricks/databricks-gemini-2-5-flash",
-    ],
-)
+@pytest.mark.parametrize("model", OLDER_VINTAGE_MODELS)
 def test_entries_priced_at_an_older_vintage_keep_cache_rates_tied_to_their_own_input(
     local_model_cost_map: None,
     model: str,