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feat(databricks): add new Claude models and cached token pricing
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
This commit is contained in:
parent
66b930b540
commit
441f3bbe26
3 changed files with 481 additions and 37 deletions
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@ -14502,6 +14502,8 @@
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"source": "https://www.databricks.com/product/pricing/foundation-model-serving"
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},
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"databricks/databricks-claude-3-7-sonnet": {
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"cache_creation_input_token_cost": 3.7499875e-06,
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"cache_read_input_token_cost": 2.9999900000000006e-07,
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"input_cost_per_token": 2.9999900000000002e-06,
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"input_dbu_cost_per_token": 4.2857e-05,
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"litellm_provider": "databricks",
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@ -14517,10 +14519,35 @@
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-claude-fable-5": {
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"cache_creation_input_token_cost": 1.2500075e-05,
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"cache_read_input_token_cost": 1.0000060000000001e-06,
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"input_cost_per_token": 1.000006e-05,
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"input_dbu_cost_per_token": 0.000142858,
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"litellm_provider": "databricks",
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"max_input_tokens": 1000000,
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"max_output_tokens": 128000,
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"max_tokens": 128000,
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"metadata": {
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"notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation."
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},
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"mode": "chat",
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"output_cost_per_token": 5.0000020000000004e-05,
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"output_dbu_cost_per_token": 0.000714286,
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": false,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-claude-haiku-4-5": {
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"cache_creation_input_token_cost": 1.2500250000000002e-06,
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"cache_read_input_token_cost": 1.0000200000000002e-07,
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"input_cost_per_token": 1.00002e-06,
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"input_dbu_cost_per_token": 1.4286e-05,
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"litellm_provider": "databricks",
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@ -14536,10 +14563,13 @@
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-claude-opus-4": {
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"cache_creation_input_token_cost": 1.8750025e-05,
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"cache_read_input_token_cost": 1.500002e-06,
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"input_cost_per_token": 1.5000020000000002e-05,
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"input_dbu_cost_per_token": 0.000214286,
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"litellm_provider": "databricks",
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@ -14555,10 +14585,13 @@
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-claude-opus-4-1": {
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"cache_creation_input_token_cost": 1.8750025e-05,
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"cache_read_input_token_cost": 1.500002e-06,
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"input_cost_per_token": 1.5000020000000002e-05,
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"input_dbu_cost_per_token": 0.000214286,
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"litellm_provider": "databricks",
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@ -14574,10 +14607,13 @@
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-claude-opus-4-5": {
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"cache_creation_input_token_cost": 6.2500375e-06,
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"cache_read_input_token_cost": 5.000030000000001e-07,
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"input_cost_per_token": 5.00003e-06,
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"input_dbu_cost_per_token": 7.1429e-05,
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"litellm_provider": "databricks",
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@ -14593,11 +14629,14 @@
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true,
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"supports_output_config": true
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},
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"databricks/databricks-claude-opus-4-6": {
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"cache_creation_input_token_cost": 6.2500375e-06,
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"cache_read_input_token_cost": 5.000030000000001e-07,
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"input_cost_per_token": 5.00003e-06,
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"input_dbu_cost_per_token": 7.1429e-05,
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"litellm_provider": "databricks",
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@ -14613,10 +14652,82 @@
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-claude-opus-4-7": {
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"cache_creation_input_token_cost": 6.2500375e-06,
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"cache_read_input_token_cost": 5.000030000000001e-07,
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"input_cost_per_token": 5.00003e-06,
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"input_dbu_cost_per_token": 7.1429e-05,
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"litellm_provider": "databricks",
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"max_input_tokens": 1000000,
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"max_output_tokens": 128000,
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"max_tokens": 128000,
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"metadata": {
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"notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation."
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},
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"mode": "chat",
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"output_cost_per_token": 2.5000010000000002e-05,
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"output_dbu_cost_per_token": 0.000357143,
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": false,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true,
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"supports_vision": true
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},
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"databricks/databricks-claude-opus-4-8": {
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"cache_creation_input_token_cost": 6.2500375e-06,
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"cache_read_input_token_cost": 5.000030000000001e-07,
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"input_cost_per_token": 5.00003e-06,
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"input_dbu_cost_per_token": 7.1429e-05,
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"litellm_provider": "databricks",
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"max_input_tokens": 1000000,
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"max_output_tokens": 128000,
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"max_tokens": 128000,
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"metadata": {
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"notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation."
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},
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"mode": "chat",
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"output_cost_per_token": 2.5000010000000002e-05,
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"output_dbu_cost_per_token": 0.000357143,
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": false,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true,
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"supports_vision": true
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},
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"databricks/databricks-claude-opus-5": {
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"cache_creation_input_token_cost": 6.2500375e-06,
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"cache_read_input_token_cost": 5.000030000000001e-07,
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"input_cost_per_token": 5.00003e-06,
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"input_dbu_cost_per_token": 7.1429e-05,
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"litellm_provider": "databricks",
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"max_input_tokens": 1000000,
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"max_output_tokens": 128000,
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"max_tokens": 128000,
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"metadata": {
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"notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation."
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},
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"mode": "chat",
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"output_cost_per_token": 2.5000010000000002e-05,
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"output_dbu_cost_per_token": 0.000357143,
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": false,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true,
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"supports_vision": true
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},
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"databricks/databricks-claude-sonnet-4": {
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"cache_creation_input_token_cost": 3.7499875e-06,
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"cache_read_input_token_cost": 2.9999900000000006e-07,
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"input_cost_per_token": 2.9999900000000002e-06,
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"input_dbu_cost_per_token": 4.2857e-05,
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"litellm_provider": "databricks",
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@ -14632,10 +14743,13 @@
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-claude-sonnet-4-1": {
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"cache_creation_input_token_cost": 3.7499875e-06,
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"cache_read_input_token_cost": 2.9999900000000006e-07,
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"input_cost_per_token": 2.9999900000000002e-06,
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"input_dbu_cost_per_token": 4.2857e-05,
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"litellm_provider": "databricks",
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@ -14651,10 +14765,13 @@
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-claude-sonnet-4-5": {
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"cache_creation_input_token_cost": 3.7499875e-06,
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"cache_read_input_token_cost": 2.9999900000000006e-07,
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"input_cost_per_token": 2.9999900000000002e-06,
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"input_dbu_cost_per_token": 4.2857e-05,
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"litellm_provider": "databricks",
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@ -14670,10 +14787,13 @@
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-claude-sonnet-4-6": {
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"cache_creation_input_token_cost": 3.7499875e-06,
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"cache_read_input_token_cost": 2.9999900000000006e-07,
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"input_cost_per_token": 2.9999900000000002e-06,
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"input_dbu_cost_per_token": 4.2857e-05,
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"litellm_provider": "databricks",
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@ -14689,10 +14809,36 @@
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": true,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-claude-sonnet-5": {
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"cache_creation_input_token_cost": 2.4999625e-06,
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"cache_read_input_token_cost": 1.9999700000000004e-07,
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"input_cost_per_token": 1.9999700000000004e-06,
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"input_dbu_cost_per_token": 2.8571e-05,
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"litellm_provider": "databricks",
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"max_input_tokens": 1000000,
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"max_output_tokens": 128000,
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"max_tokens": 128000,
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"metadata": {
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"notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation. Claude Sonnet 5 DBU rates are Anthropic's introductory launch pricing, in effect through 2026-08-31, after which the standard Sonnet 5 rates (equal to Sonnet 4.5 / 4.6) take effect."
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},
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"mode": "chat",
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"output_cost_per_token": 9.999990000000002e-06,
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"output_dbu_cost_per_token": 0.000142857,
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_assistant_prefill": false,
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_reasoning": true,
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"supports_tool_choice": true,
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"supports_vision": true
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},
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"databricks/databricks-gemini-2-5-flash": {
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"cache_creation_input_token_cost": 3.0001999999999996e-07,
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"cache_read_input_token_cost": 3.0002e-08,
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"input_cost_per_token": 3.0001999999999996e-07,
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"input_dbu_cost_per_token": 4.285999999999999e-06,
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"litellm_provider": "databricks",
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@ -14707,9 +14853,12 @@
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"output_dbu_cost_per_token": 3.5714e-05,
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-gemini-2-5-pro": {
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"cache_creation_input_token_cost": 1.24999e-06,
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"cache_read_input_token_cost": 1.24999e-07,
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"input_cost_per_token": 1.24999e-06,
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"input_dbu_cost_per_token": 1.7857e-05,
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"litellm_provider": "databricks",
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@ -14724,9 +14873,12 @@
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"output_dbu_cost_per_token": 0.000142857,
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-gemini-3-1-flash-lite": {
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"cache_creation_input_token_cost": 3.1248e-07,
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"cache_read_input_token_cost": 3.1248e-08,
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"input_cost_per_token": 3.1248e-07,
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"input_dbu_cost_per_token": 4.464e-06,
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"litellm_provider": "databricks",
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@ -14741,9 +14893,12 @@
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"output_dbu_cost_per_token": 2.6786e-05,
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-gemini-3-1-pro": {
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"cache_creation_input_token_cost": 2.49998e-06,
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"cache_read_input_token_cost": 2.49998e-07,
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"input_cost_per_token": 2.49998e-06,
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"input_dbu_cost_per_token": 3.5714e-05,
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"litellm_provider": "databricks",
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@ -14758,9 +14913,12 @@
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"output_dbu_cost_per_token": 0.000214286,
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-gemini-3-flash": {
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"cache_creation_input_token_cost": 6.250300000000001e-07,
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"cache_read_input_token_cost": 6.250300000000001e-08,
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"input_cost_per_token": 6.2503e-07,
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"input_dbu_cost_per_token": 8.929e-06,
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"litellm_provider": "databricks",
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@ -14775,9 +14933,12 @@
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"output_dbu_cost_per_token": 5.3571e-05,
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-gemini-3-pro": {
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"cache_creation_input_token_cost": 2.49998e-06,
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"cache_read_input_token_cost": 2.49998e-07,
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"input_cost_per_token": 2.49998e-06,
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"input_dbu_cost_per_token": 3.5714e-05,
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"litellm_provider": "databricks",
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@ -14792,6 +14953,7 @@
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"output_dbu_cost_per_token": 0.000214286,
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"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
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"supports_function_calling": true,
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"supports_prompt_caching": true,
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"supports_tool_choice": true
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},
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"databricks/databricks-gemma-3-12b": {
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@ -14810,6 +14972,8 @@
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"source": "https://www.databricks.com/product/pricing/foundation-model-serving"
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},
|
||||
"databricks/databricks-gpt-5": {
|
||||
"cache_creation_input_token_cost": 1.24999e-06,
|
||||
"cache_read_input_token_cost": 1.24999e-07,
|
||||
"input_cost_per_token": 1.24999e-06,
|
||||
"input_dbu_cost_per_token": 1.7857e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14822,9 +14986,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 9.999990000000002e-06,
|
||||
"output_dbu_cost_per_token": 0.000142857,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-1": {
|
||||
"cache_creation_input_token_cost": 1.24999e-06,
|
||||
"cache_read_input_token_cost": 1.24999e-07,
|
||||
"input_cost_per_token": 1.24999e-06,
|
||||
"input_dbu_cost_per_token": 1.7857e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14837,9 +15004,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 9.999990000000002e-06,
|
||||
"output_dbu_cost_per_token": 0.000142857,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-1-codex-max": {
|
||||
"cache_creation_input_token_cost": 1.24999e-06,
|
||||
"cache_read_input_token_cost": 1.24999e-07,
|
||||
"input_cost_per_token": 1.24999e-06,
|
||||
"input_dbu_cost_per_token": 1.7857e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14852,9 +15022,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 9.999990000000002e-06,
|
||||
"output_dbu_cost_per_token": 0.000142857,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-1-codex-mini": {
|
||||
"cache_creation_input_token_cost": 2.4997000000000006e-07,
|
||||
"cache_read_input_token_cost": 2.4997000000000005e-08,
|
||||
"input_cost_per_token": 2.4997e-07,
|
||||
"input_dbu_cost_per_token": 3.571e-06,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14867,9 +15040,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.99997e-06,
|
||||
"output_dbu_cost_per_token": 2.8571e-05,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-2": {
|
||||
"cache_creation_input_token_cost": 1.7500000000000002e-06,
|
||||
"cache_read_input_token_cost": 1.7500000000000002e-07,
|
||||
"input_cost_per_token": 1.75e-06,
|
||||
"input_dbu_cost_per_token": 2.5e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14882,9 +15058,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.4e-05,
|
||||
"output_dbu_cost_per_token": 0.0002,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-2-codex": {
|
||||
"cache_creation_input_token_cost": 1.7500000000000002e-06,
|
||||
"cache_read_input_token_cost": 1.7500000000000002e-07,
|
||||
"input_cost_per_token": 1.75e-06,
|
||||
"input_dbu_cost_per_token": 2.5e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14897,9 +15076,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.4e-05,
|
||||
"output_dbu_cost_per_token": 0.0002,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-3-codex": {
|
||||
"cache_creation_input_token_cost": 1.7500000000000002e-06,
|
||||
"cache_read_input_token_cost": 1.7500000000000002e-07,
|
||||
"input_cost_per_token": 1.75e-06,
|
||||
"input_dbu_cost_per_token": 2.5e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14912,9 +15094,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.4e-05,
|
||||
"output_dbu_cost_per_token": 0.0002,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-4": {
|
||||
"cache_creation_input_token_cost": 2.49998e-06,
|
||||
"cache_read_input_token_cost": 2.49998e-07,
|
||||
"input_cost_per_token": 2.49998e-06,
|
||||
"input_dbu_cost_per_token": 3.5714e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14927,9 +15112,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.5000020000000002e-05,
|
||||
"output_dbu_cost_per_token": 0.000214286,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-4-mini": {
|
||||
"cache_creation_input_token_cost": 7.4998e-07,
|
||||
"cache_read_input_token_cost": 7.499800000000001e-08,
|
||||
"input_cost_per_token": 7.4998e-07,
|
||||
"input_dbu_cost_per_token": 1.0714e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14942,9 +15130,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 4.50002e-06,
|
||||
"output_dbu_cost_per_token": 6.4286e-05,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-4-nano": {
|
||||
"cache_creation_input_token_cost": 1.9999e-07,
|
||||
"cache_read_input_token_cost": 1.9999000000000003e-08,
|
||||
"input_cost_per_token": 1.9999e-07,
|
||||
"input_dbu_cost_per_token": 2.857e-06,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14957,9 +15148,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.24999e-06,
|
||||
"output_dbu_cost_per_token": 1.7857e-05,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-mini": {
|
||||
"cache_creation_input_token_cost": 2.4997000000000006e-07,
|
||||
"cache_read_input_token_cost": 2.4997000000000005e-08,
|
||||
"input_cost_per_token": 2.4997000000000006e-07,
|
||||
"input_dbu_cost_per_token": 3.571e-06,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14972,9 +15166,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.9999700000000004e-06,
|
||||
"output_dbu_cost_per_token": 2.8571e-05,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-nano": {
|
||||
"cache_creation_input_token_cost": 4.998e-08,
|
||||
"cache_read_input_token_cost": 4.998000000000001e-09,
|
||||
"input_cost_per_token": 4.998e-08,
|
||||
"input_dbu_cost_per_token": 7.14e-07,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14987,7 +15184,8 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 3.9998000000000007e-07,
|
||||
"output_dbu_cost_per_token": 5.714000000000001e-06,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-oss-120b": {
|
||||
"input_cost_per_token": 1.5000999999999998e-07,
|
||||
|
|
|
|||
|
|
@ -14502,6 +14502,8 @@
|
|||
"source": "https://www.databricks.com/product/pricing/foundation-model-serving"
|
||||
},
|
||||
"databricks/databricks-claude-3-7-sonnet": {
|
||||
"cache_creation_input_token_cost": 3.7499875e-06,
|
||||
"cache_read_input_token_cost": 2.9999900000000006e-07,
|
||||
"input_cost_per_token": 2.9999900000000002e-06,
|
||||
"input_dbu_cost_per_token": 4.2857e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14517,10 +14519,35 @@
|
|||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": true,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-claude-fable-5": {
|
||||
"cache_creation_input_token_cost": 1.2500075e-05,
|
||||
"cache_read_input_token_cost": 1.0000060000000001e-06,
|
||||
"input_cost_per_token": 1.000006e-05,
|
||||
"input_dbu_cost_per_token": 0.000142858,
|
||||
"litellm_provider": "databricks",
|
||||
"max_input_tokens": 1000000,
|
||||
"max_output_tokens": 128000,
|
||||
"max_tokens": 128000,
|
||||
"metadata": {
|
||||
"notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation."
|
||||
},
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 5.0000020000000004e-05,
|
||||
"output_dbu_cost_per_token": 0.000714286,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": false,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-claude-haiku-4-5": {
|
||||
"cache_creation_input_token_cost": 1.2500250000000002e-06,
|
||||
"cache_read_input_token_cost": 1.0000200000000002e-07,
|
||||
"input_cost_per_token": 1.00002e-06,
|
||||
"input_dbu_cost_per_token": 1.4286e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14536,10 +14563,13 @@
|
|||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": true,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-claude-opus-4": {
|
||||
"cache_creation_input_token_cost": 1.8750025e-05,
|
||||
"cache_read_input_token_cost": 1.500002e-06,
|
||||
"input_cost_per_token": 1.5000020000000002e-05,
|
||||
"input_dbu_cost_per_token": 0.000214286,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14555,10 +14585,13 @@
|
|||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": true,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-claude-opus-4-1": {
|
||||
"cache_creation_input_token_cost": 1.8750025e-05,
|
||||
"cache_read_input_token_cost": 1.500002e-06,
|
||||
"input_cost_per_token": 1.5000020000000002e-05,
|
||||
"input_dbu_cost_per_token": 0.000214286,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14574,10 +14607,13 @@
|
|||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": true,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-claude-opus-4-5": {
|
||||
"cache_creation_input_token_cost": 6.2500375e-06,
|
||||
"cache_read_input_token_cost": 5.000030000000001e-07,
|
||||
"input_cost_per_token": 5.00003e-06,
|
||||
"input_dbu_cost_per_token": 7.1429e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14593,11 +14629,14 @@
|
|||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": true,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_output_config": true
|
||||
},
|
||||
"databricks/databricks-claude-opus-4-6": {
|
||||
"cache_creation_input_token_cost": 6.2500375e-06,
|
||||
"cache_read_input_token_cost": 5.000030000000001e-07,
|
||||
"input_cost_per_token": 5.00003e-06,
|
||||
"input_dbu_cost_per_token": 7.1429e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14613,10 +14652,82 @@
|
|||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": true,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-claude-opus-4-7": {
|
||||
"cache_creation_input_token_cost": 6.2500375e-06,
|
||||
"cache_read_input_token_cost": 5.000030000000001e-07,
|
||||
"input_cost_per_token": 5.00003e-06,
|
||||
"input_dbu_cost_per_token": 7.1429e-05,
|
||||
"litellm_provider": "databricks",
|
||||
"max_input_tokens": 1000000,
|
||||
"max_output_tokens": 128000,
|
||||
"max_tokens": 128000,
|
||||
"metadata": {
|
||||
"notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation."
|
||||
},
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 2.5000010000000002e-05,
|
||||
"output_dbu_cost_per_token": 0.000357143,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": false,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true
|
||||
},
|
||||
"databricks/databricks-claude-opus-4-8": {
|
||||
"cache_creation_input_token_cost": 6.2500375e-06,
|
||||
"cache_read_input_token_cost": 5.000030000000001e-07,
|
||||
"input_cost_per_token": 5.00003e-06,
|
||||
"input_dbu_cost_per_token": 7.1429e-05,
|
||||
"litellm_provider": "databricks",
|
||||
"max_input_tokens": 1000000,
|
||||
"max_output_tokens": 128000,
|
||||
"max_tokens": 128000,
|
||||
"metadata": {
|
||||
"notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation."
|
||||
},
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 2.5000010000000002e-05,
|
||||
"output_dbu_cost_per_token": 0.000357143,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": false,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true
|
||||
},
|
||||
"databricks/databricks-claude-opus-5": {
|
||||
"cache_creation_input_token_cost": 6.2500375e-06,
|
||||
"cache_read_input_token_cost": 5.000030000000001e-07,
|
||||
"input_cost_per_token": 5.00003e-06,
|
||||
"input_dbu_cost_per_token": 7.1429e-05,
|
||||
"litellm_provider": "databricks",
|
||||
"max_input_tokens": 1000000,
|
||||
"max_output_tokens": 128000,
|
||||
"max_tokens": 128000,
|
||||
"metadata": {
|
||||
"notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation."
|
||||
},
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 2.5000010000000002e-05,
|
||||
"output_dbu_cost_per_token": 0.000357143,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": false,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true
|
||||
},
|
||||
"databricks/databricks-claude-sonnet-4": {
|
||||
"cache_creation_input_token_cost": 3.7499875e-06,
|
||||
"cache_read_input_token_cost": 2.9999900000000006e-07,
|
||||
"input_cost_per_token": 2.9999900000000002e-06,
|
||||
"input_dbu_cost_per_token": 4.2857e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14632,10 +14743,13 @@
|
|||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": true,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-claude-sonnet-4-1": {
|
||||
"cache_creation_input_token_cost": 3.7499875e-06,
|
||||
"cache_read_input_token_cost": 2.9999900000000006e-07,
|
||||
"input_cost_per_token": 2.9999900000000002e-06,
|
||||
"input_dbu_cost_per_token": 4.2857e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14651,10 +14765,13 @@
|
|||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": true,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-claude-sonnet-4-5": {
|
||||
"cache_creation_input_token_cost": 3.7499875e-06,
|
||||
"cache_read_input_token_cost": 2.9999900000000006e-07,
|
||||
"input_cost_per_token": 2.9999900000000002e-06,
|
||||
"input_dbu_cost_per_token": 4.2857e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14670,10 +14787,13 @@
|
|||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": true,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-claude-sonnet-4-6": {
|
||||
"cache_creation_input_token_cost": 3.7499875e-06,
|
||||
"cache_read_input_token_cost": 2.9999900000000006e-07,
|
||||
"input_cost_per_token": 2.9999900000000002e-06,
|
||||
"input_dbu_cost_per_token": 4.2857e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14689,10 +14809,36 @@
|
|||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": true,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-claude-sonnet-5": {
|
||||
"cache_creation_input_token_cost": 2.4999625e-06,
|
||||
"cache_read_input_token_cost": 1.9999700000000004e-07,
|
||||
"input_cost_per_token": 1.9999700000000004e-06,
|
||||
"input_dbu_cost_per_token": 2.8571e-05,
|
||||
"litellm_provider": "databricks",
|
||||
"max_input_tokens": 1000000,
|
||||
"max_output_tokens": 128000,
|
||||
"max_tokens": 128000,
|
||||
"metadata": {
|
||||
"notes": "Input/output cost per token is dbu cost * $0.070. Number provided for reference, '*_dbu_cost_per_token' used in actual calculation. Claude Sonnet 5 DBU rates are Anthropic's introductory launch pricing, in effect through 2026-08-31, after which the standard Sonnet 5 rates (equal to Sonnet 4.5 / 4.6) take effect."
|
||||
},
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 9.999990000000002e-06,
|
||||
"output_dbu_cost_per_token": 0.000142857,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_assistant_prefill": false,
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true
|
||||
},
|
||||
"databricks/databricks-gemini-2-5-flash": {
|
||||
"cache_creation_input_token_cost": 3.0001999999999996e-07,
|
||||
"cache_read_input_token_cost": 3.0002e-08,
|
||||
"input_cost_per_token": 3.0001999999999996e-07,
|
||||
"input_dbu_cost_per_token": 4.285999999999999e-06,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14707,9 +14853,12 @@
|
|||
"output_dbu_cost_per_token": 3.5714e-05,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-gemini-2-5-pro": {
|
||||
"cache_creation_input_token_cost": 1.24999e-06,
|
||||
"cache_read_input_token_cost": 1.24999e-07,
|
||||
"input_cost_per_token": 1.24999e-06,
|
||||
"input_dbu_cost_per_token": 1.7857e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14724,9 +14873,12 @@
|
|||
"output_dbu_cost_per_token": 0.000142857,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-gemini-3-1-flash-lite": {
|
||||
"cache_creation_input_token_cost": 3.1248e-07,
|
||||
"cache_read_input_token_cost": 3.1248e-08,
|
||||
"input_cost_per_token": 3.1248e-07,
|
||||
"input_dbu_cost_per_token": 4.464e-06,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14741,9 +14893,12 @@
|
|||
"output_dbu_cost_per_token": 2.6786e-05,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-gemini-3-1-pro": {
|
||||
"cache_creation_input_token_cost": 2.49998e-06,
|
||||
"cache_read_input_token_cost": 2.49998e-07,
|
||||
"input_cost_per_token": 2.49998e-06,
|
||||
"input_dbu_cost_per_token": 3.5714e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14758,9 +14913,12 @@
|
|||
"output_dbu_cost_per_token": 0.000214286,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-gemini-3-flash": {
|
||||
"cache_creation_input_token_cost": 6.250300000000001e-07,
|
||||
"cache_read_input_token_cost": 6.250300000000001e-08,
|
||||
"input_cost_per_token": 6.2503e-07,
|
||||
"input_dbu_cost_per_token": 8.929e-06,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14775,9 +14933,12 @@
|
|||
"output_dbu_cost_per_token": 5.3571e-05,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-gemini-3-pro": {
|
||||
"cache_creation_input_token_cost": 2.49998e-06,
|
||||
"cache_read_input_token_cost": 2.49998e-07,
|
||||
"input_cost_per_token": 2.49998e-06,
|
||||
"input_dbu_cost_per_token": 3.5714e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14792,6 +14953,7 @@
|
|||
"output_dbu_cost_per_token": 0.000214286,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_tool_choice": true
|
||||
},
|
||||
"databricks/databricks-gemma-3-12b": {
|
||||
|
|
@ -14810,6 +14972,8 @@
|
|||
"source": "https://www.databricks.com/product/pricing/foundation-model-serving"
|
||||
},
|
||||
"databricks/databricks-gpt-5": {
|
||||
"cache_creation_input_token_cost": 1.24999e-06,
|
||||
"cache_read_input_token_cost": 1.24999e-07,
|
||||
"input_cost_per_token": 1.24999e-06,
|
||||
"input_dbu_cost_per_token": 1.7857e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14822,9 +14986,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 9.999990000000002e-06,
|
||||
"output_dbu_cost_per_token": 0.000142857,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-1": {
|
||||
"cache_creation_input_token_cost": 1.24999e-06,
|
||||
"cache_read_input_token_cost": 1.24999e-07,
|
||||
"input_cost_per_token": 1.24999e-06,
|
||||
"input_dbu_cost_per_token": 1.7857e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14837,9 +15004,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 9.999990000000002e-06,
|
||||
"output_dbu_cost_per_token": 0.000142857,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-1-codex-max": {
|
||||
"cache_creation_input_token_cost": 1.24999e-06,
|
||||
"cache_read_input_token_cost": 1.24999e-07,
|
||||
"input_cost_per_token": 1.24999e-06,
|
||||
"input_dbu_cost_per_token": 1.7857e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14852,9 +15022,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 9.999990000000002e-06,
|
||||
"output_dbu_cost_per_token": 0.000142857,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-1-codex-mini": {
|
||||
"cache_creation_input_token_cost": 2.4997000000000006e-07,
|
||||
"cache_read_input_token_cost": 2.4997000000000005e-08,
|
||||
"input_cost_per_token": 2.4997e-07,
|
||||
"input_dbu_cost_per_token": 3.571e-06,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14867,9 +15040,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.99997e-06,
|
||||
"output_dbu_cost_per_token": 2.8571e-05,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-2": {
|
||||
"cache_creation_input_token_cost": 1.7500000000000002e-06,
|
||||
"cache_read_input_token_cost": 1.7500000000000002e-07,
|
||||
"input_cost_per_token": 1.75e-06,
|
||||
"input_dbu_cost_per_token": 2.5e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14882,9 +15058,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.4e-05,
|
||||
"output_dbu_cost_per_token": 0.0002,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-2-codex": {
|
||||
"cache_creation_input_token_cost": 1.7500000000000002e-06,
|
||||
"cache_read_input_token_cost": 1.7500000000000002e-07,
|
||||
"input_cost_per_token": 1.75e-06,
|
||||
"input_dbu_cost_per_token": 2.5e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14897,9 +15076,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.4e-05,
|
||||
"output_dbu_cost_per_token": 0.0002,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-3-codex": {
|
||||
"cache_creation_input_token_cost": 1.7500000000000002e-06,
|
||||
"cache_read_input_token_cost": 1.7500000000000002e-07,
|
||||
"input_cost_per_token": 1.75e-06,
|
||||
"input_dbu_cost_per_token": 2.5e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14912,9 +15094,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.4e-05,
|
||||
"output_dbu_cost_per_token": 0.0002,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-4": {
|
||||
"cache_creation_input_token_cost": 2.49998e-06,
|
||||
"cache_read_input_token_cost": 2.49998e-07,
|
||||
"input_cost_per_token": 2.49998e-06,
|
||||
"input_dbu_cost_per_token": 3.5714e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14927,9 +15112,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.5000020000000002e-05,
|
||||
"output_dbu_cost_per_token": 0.000214286,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-4-mini": {
|
||||
"cache_creation_input_token_cost": 7.4998e-07,
|
||||
"cache_read_input_token_cost": 7.499800000000001e-08,
|
||||
"input_cost_per_token": 7.4998e-07,
|
||||
"input_dbu_cost_per_token": 1.0714e-05,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14942,9 +15130,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 4.50002e-06,
|
||||
"output_dbu_cost_per_token": 6.4286e-05,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-4-nano": {
|
||||
"cache_creation_input_token_cost": 1.9999e-07,
|
||||
"cache_read_input_token_cost": 1.9999000000000003e-08,
|
||||
"input_cost_per_token": 1.9999e-07,
|
||||
"input_dbu_cost_per_token": 2.857e-06,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14957,9 +15148,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.24999e-06,
|
||||
"output_dbu_cost_per_token": 1.7857e-05,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-mini": {
|
||||
"cache_creation_input_token_cost": 2.4997000000000006e-07,
|
||||
"cache_read_input_token_cost": 2.4997000000000005e-08,
|
||||
"input_cost_per_token": 2.4997000000000006e-07,
|
||||
"input_dbu_cost_per_token": 3.571e-06,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14972,9 +15166,12 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 1.9999700000000004e-06,
|
||||
"output_dbu_cost_per_token": 2.8571e-05,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-5-nano": {
|
||||
"cache_creation_input_token_cost": 4.998e-08,
|
||||
"cache_read_input_token_cost": 4.998000000000001e-09,
|
||||
"input_cost_per_token": 4.998e-08,
|
||||
"input_dbu_cost_per_token": 7.14e-07,
|
||||
"litellm_provider": "databricks",
|
||||
|
|
@ -14987,7 +15184,8 @@
|
|||
"mode": "chat",
|
||||
"output_cost_per_token": 3.9998000000000007e-07,
|
||||
"output_dbu_cost_per_token": 5.714000000000001e-06,
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving"
|
||||
"source": "https://www.databricks.com/product/pricing/proprietary-foundation-model-serving",
|
||||
"supports_prompt_caching": true
|
||||
},
|
||||
"databricks/databricks-gpt-oss-120b": {
|
||||
"input_cost_per_token": 1.5000999999999998e-07,
|
||||
|
|
|
|||
|
|
@ -1,6 +1,29 @@
|
|||
import json
|
||||
import os
|
||||
import sys
|
||||
from types import MappingProxyType
|
||||
from typing import Final
|
||||
|
||||
# (cache write, cache read) multipliers on the input rate, per model vendor, from
|
||||
# https://www.databricks.com/product/pricing/proprietary-foundation-model-serving
|
||||
CACHE_RATIOS: Final = MappingProxyType({"claude": (1.25, 0.1), "gemini": (1.0, 0.1), "gpt-5": (1.0, 0.1)})
|
||||
|
||||
|
||||
def _load_cost_map() -> dict:
|
||||
json_path: Final = os.path.join(os.path.dirname(__file__), "../../../../model_prices_and_context_window.json")
|
||||
assert os.path.exists(json_path), f"Could not find model_prices_and_context_window.json at {json_path}"
|
||||
with open(json_path, "r") as f:
|
||||
return json.load(f)
|
||||
|
||||
|
||||
def _cache_vendor(model: str) -> str | None:
|
||||
name: Final = model.removeprefix("databricks/databricks-")
|
||||
if name.startswith("claude"):
|
||||
return "claude"
|
||||
if name.startswith("gemini"):
|
||||
return "gemini"
|
||||
if name.startswith("gpt-5") and "oss" not in name:
|
||||
return "gpt-5"
|
||||
return None
|
||||
|
||||
|
||||
def test_databricks_pricing_integrity():
|
||||
|
|
@ -8,14 +31,10 @@ def test_databricks_pricing_integrity():
|
|||
Verifies that for all Databricks models in model_prices_and_context_window.json:
|
||||
USD Price == DBU Price * 0.07
|
||||
"""
|
||||
json_path = os.path.join(
|
||||
os.path.dirname(__file__), "../../../../model_prices_and_context_window.json"
|
||||
)
|
||||
json_path = os.path.join(os.path.dirname(__file__), "../../../../model_prices_and_context_window.json")
|
||||
|
||||
# Verify file exists
|
||||
assert os.path.exists(
|
||||
json_path
|
||||
), f"Could not find model_prices_and_context_window.json at {json_path}"
|
||||
assert os.path.exists(json_path), f"Could not find model_prices_and_context_window.json at {json_path}"
|
||||
|
||||
with open(json_path, "r") as f:
|
||||
data = json.load(f)
|
||||
|
|
@ -33,9 +52,7 @@ def test_databricks_pricing_integrity():
|
|||
expected = input_dbu * conversion_rate
|
||||
# Allow small floating point difference
|
||||
if abs(input_usd - expected) > 1e-9:
|
||||
errors.append(
|
||||
f"{model} input mismatch: USD={input_usd}, DBU={input_dbu}, Expected={expected}"
|
||||
)
|
||||
errors.append(f"{model} input mismatch: USD={input_usd}, DBU={input_dbu}, Expected={expected}")
|
||||
|
||||
# Check Output Cost
|
||||
output_usd = info.get("output_cost_per_token")
|
||||
|
|
@ -44,8 +61,39 @@ def test_databricks_pricing_integrity():
|
|||
if output_usd is not None and output_dbu is not None:
|
||||
expected = output_dbu * conversion_rate
|
||||
if abs(output_usd - expected) > 1e-9:
|
||||
errors.append(
|
||||
f"{model} output mismatch: USD={output_usd}, DBU={output_dbu}, Expected={expected}"
|
||||
)
|
||||
errors.append(f"{model} output mismatch: USD={output_usd}, DBU={output_dbu}, Expected={expected}")
|
||||
|
||||
assert not errors, "\n" + "\n".join(errors)
|
||||
|
||||
|
||||
def test_databricks_proprietary_models_have_cache_pricing():
|
||||
"""
|
||||
Every Databricks-hosted Claude / Gemini / GPT-5 chat model must carry cached token pricing,
|
||||
derived from its input rate with the vendor's cache write and cache read multipliers
|
||||
"""
|
||||
data: Final = _load_cost_map()
|
||||
errors: Final[list[str]] = [] # mutable-ok: pytest failure message accumulator
|
||||
|
||||
priced: Final[list[str]] = [] # mutable-ok: pytest failure message accumulator
|
||||
for model, info in data.items():
|
||||
vendor: Final = _cache_vendor(model) if model.startswith("databricks/") else None
|
||||
if vendor is None or info.get("mode") != "chat":
|
||||
continue
|
||||
priced.append(model)
|
||||
write_ratio, read_ratio = CACHE_RATIOS[vendor]
|
||||
input_usd = info["input_cost_per_token"]
|
||||
for field, ratio in (
|
||||
("cache_creation_input_token_cost", write_ratio),
|
||||
("cache_read_input_token_cost", read_ratio),
|
||||
):
|
||||
actual = info.get(field)
|
||||
expected = input_usd * ratio
|
||||
if actual is None:
|
||||
errors.append(f"{model} missing {field}")
|
||||
elif abs(actual - expected) > 1e-12:
|
||||
errors.append(f"{model} {field} mismatch: got {actual}, expected {expected}")
|
||||
if not info.get("supports_prompt_caching"):
|
||||
errors.append(f"{model} missing supports_prompt_caching")
|
||||
|
||||
assert priced, "no Databricks proprietary chat models found"
|
||||
assert not errors, "\n" + "\n".join(errors)
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue