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chore(prices): sync Vertex AI prices: 2 models, 2 new [enrichment failed: Vertex AI, 224 held] (#42589)
* chore(prices): sync Vertex AI prices: 2 models, 2 new [enrichment failed: Vertex AI, 224 held] vertex_ai/gemini-2.0-flash: input_cost_per_token, output_cost_per_token, input_cost_per_character, input_cost_per_audio_token, input_cost_per_token_batches, output_cost_per_token_batches, input_cost_per_audio_token_batches vertex_ai/gemini-2.0-flash-lite: input_cost_per_token, output_cost_per_token, input_cost_per_character, input_cost_per_audio_token, input_cost_per_token_batches, output_cost_per_token_batches, input_cost_per_audio_token_batches * chore(prices): sync Vertex AI prices: 52 models vertex_ai/claude-fable-5: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-fable-5@default: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-fable-5-1: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-fable-5-1@default: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-haiku-4-5: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-haiku-4-5@20251001: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-opus-4-5: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-opus-4-5@20251101: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-opus-4-6: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-opus-4-6@default: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-opus-4-7: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-opus-4-7@default: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-opus-4-8: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-opus-4-8@default: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-opus-5: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-opus-5@default: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-opus-5-5: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-opus-5-5@default: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-sonnet-4-5: cache_read_input_token_cost_batches vertex_ai/claude-sonnet-4-5@20250929: cache_read_input_token_cost_batches vertex_ai/claude-sonnet-4-6: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-sonnet-4-6@default: input_cost_per_token_batches, output_cost_per_token_batches, cache_read_input_token_cost_batches, cache_creation_input_token_cost_batches vertex_ai/claude-sonnet-5: input_cost_per_token_batches, output_cost_per_token_batches vertex_ai/claude-sonnet-5@default: input_cost_per_token_batches, output_cost_per_token_batches vertex_ai/codestral-2: vertex_ai/codestral-2@001: vertex_ai/deepseek-ai/deepseek-ocr-maas: vertex_ai/deepseek-ai/deepseek-r1-0528-maas: input_cost_per_token_batches, output_cost_per_token_batches vertex_ai/deepseek-ai/deepseek-v3.1-maas: cache_read_input_token_cost, input_cost_per_token_batches, output_cost_per_token_batches vertex_ai/deepseek-ai/deepseek-v3.2-maas: cache_read_input_token_cost vertex_ai/meta/llama-4-maverick-17b-128e-instruct-maas: input_cost_per_token_batches, output_cost_per_token_batches vertex_ai/meta/llama-4-scout-17b-16e-instruct-maas: input_cost_per_token_batches, output_cost_per_token_batches vertex_ai/minimaxai/minimax-m2-maas: cache_read_input_token_cost vertex_ai/mistral-medium-3: vertex_ai/mistral-medium-3@001: vertex_ai/mistral-small-2503: vertex_ai/mistral-small-2503@001: vertex_ai/mistralai/codestral-2: vertex_ai/mistralai/codestral-2@001: vertex_ai/mistralai/mistral-medium-3: vertex_ai/mistralai/mistral-medium-3@001: vertex_ai/moonshotai/kimi-k2-thinking-maas: cache_read_input_token_cost vertex_ai/openai/gpt-oss-120b-maas: input_cost_per_token_batches, output_cost_per_token_batches vertex_ai/openai/gpt-oss-20b-maas: input_cost_per_token_batches, output_cost_per_token_batches vertex_ai/qwen/qwen3-235b-a22b-instruct-2507-maas: input_cost_per_token_batches, output_cost_per_token_batches vertex_ai/qwen/qwen3-coder-480b-a35b-instruct-maas: cache_read_input_token_cost, input_cost_per_token_batches, output_cost_per_token_batches vertex_ai/qwen/qwen3-next-80b-a3b-instruct-maas: vertex_ai/qwen/qwen3-next-80b-a3b-thinking-maas: vertex_ai/xai/grok-4.1-fast-non-reasoning: vertex_ai/xai/grok-4.1-fast-reasoning: vertex_ai/zai-org/glm-4.7-maas: cache_read_input_token_cost vertex_ai/zai-org/glm-5-maas: Price-Sync: litellm-providers * chore(prices): add verified Vertex AI zai glm-5.2-maas entry and fix Gemini 2.0 mode Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(prices): add Vertex AI claude-sonnet-4-5 1h cache write price above 200K The Vertex AI pricing page prices Claude Sonnet 4.5's 1h Cache Write at $6.00 up to 200K input tokens and $12.00 above, matching the value the anthropic and bedrock entries already carry. Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * feat(prices): add vertex_ai/gemini-omni-1.1-flash-preview from the Vertex pricing page Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: berriai-litellm-provider-info-sync[bot] <328147090+berriai-litellm-provider-info-sync[bot]@users.noreply.github.com> Co-authored-by: kerry <kerry@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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@ -46720,16 +46720,20 @@
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|
||||
"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 1000000,
|
||||
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|
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|
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|
||||
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|
||||
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|
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|
||||
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|
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"search_context_size_low": 0.01,
|
||||
|
|
@ -47099,14 +47141,17 @@
|
|||
"supports_vision": true,
|
||||
"supports_xhigh_reasoning_effort": true,
|
||||
"supports_max_reasoning_effort": true,
|
||||
"prompt_cache_min_tokens": 512
|
||||
"prompt_cache_min_tokens": 512,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-fable-5-1": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"input_cost_per_token": 1e-05,
|
||||
"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 1000000,
|
||||
|
|
@ -47136,7 +47181,10 @@
|
|||
"supports_xhigh_reasoning_effort": true,
|
||||
"supports_max_reasoning_effort": true,
|
||||
"prompt_cache_min_tokens": 512,
|
||||
"deprecation_date": "2027-03-01"
|
||||
"deprecation_date": "2027-03-01",
|
||||
"input_cost_per_token_batches": 5e-06,
|
||||
"output_cost_per_token_batches": 2.5e-05,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-fable-5@default": {
|
||||
"deprecation_date": "2027-06-08",
|
||||
|
|
@ -47144,14 +47192,18 @@
|
|||
"supports_mid_conversation_system": true,
|
||||
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|
||||
"cache_creation_input_token_cost_above_1hr": 2e-05,
|
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|
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|
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|
||||
"input_cost_per_token": 1e-05,
|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
||||
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|
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|
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"max_tokens": 128000,
|
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|
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|
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|
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|
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"search_context_size_low": 0.01,
|
||||
|
|
@ -47171,14 +47223,17 @@
|
|||
"supports_vision": true,
|
||||
"supports_xhigh_reasoning_effort": true,
|
||||
"supports_max_reasoning_effort": true,
|
||||
"prompt_cache_min_tokens": 512
|
||||
"prompt_cache_min_tokens": 512,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-fable-5-1@default": {
|
||||
"regional_endpoint_uplift_multiplier": 1.1,
|
||||
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|
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|
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|
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|
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|
||||
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|
||||
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 1000000,
|
||||
|
|
@ -47208,7 +47263,10 @@
|
|||
"supports_xhigh_reasoning_effort": true,
|
||||
"supports_max_reasoning_effort": true,
|
||||
"prompt_cache_min_tokens": 512,
|
||||
"deprecation_date": "2027-03-01"
|
||||
"deprecation_date": "2027-03-01",
|
||||
"input_cost_per_token_batches": 5e-06,
|
||||
"output_cost_per_token_batches": 2.5e-05,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-opus-5": {
|
||||
"deprecation_date": "2027-01-24",
|
||||
|
|
@ -47217,14 +47275,18 @@
|
|||
"supports_adaptive_thinking": true,
|
||||
"cache_creation_input_token_cost": 6.25e-06,
|
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|
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|
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|
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|
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|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
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|
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|
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|
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|
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|
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|
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"search_context_size_high": 0.01,
|
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|
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|
|
@ -47242,7 +47304,8 @@
|
|||
"supports_vision": true,
|
||||
"supports_xhigh_reasoning_effort": true,
|
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"supports_max_reasoning_effort": true,
|
||||
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|
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"prompt_cache_min_tokens": 512,
|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
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},
|
||||
"vertex_ai/claude-opus-5@default": {
|
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|
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|
|
@ -47251,14 +47314,18 @@
|
|||
"supports_adaptive_thinking": true,
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"search_context_size_low": 0.01,
|
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|
|
@ -47276,21 +47343,26 @@
|
|||
"supports_vision": true,
|
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|
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"supports_max_reasoning_effort": true,
|
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|
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"prompt_cache_min_tokens": 512,
|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
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"max_input_tokens": 1000000,
|
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|
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|
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|
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|
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|
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|
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|
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|
|
@ -47312,21 +47384,26 @@
|
|||
"supports_vision": true,
|
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"supports_xhigh_reasoning_effort": true,
|
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|
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|
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"prompt_cache_min_tokens": 512,
|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
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},
|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
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|
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|
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|
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|
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|
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|
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|
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"search_context_size_low": 0.01,
|
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|
|
@ -47348,7 +47425,8 @@
|
|||
"supports_vision": true,
|
||||
"supports_xhigh_reasoning_effort": true,
|
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|
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|
||||
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|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
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|
||||
"deprecation_date": "2027-05-28",
|
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|
|
@ -47357,14 +47435,18 @@
|
|||
"supports_adaptive_thinking": true,
|
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"cache_creation_input_token_cost": 6.25e-06,
|
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|
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|
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|
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|
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|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
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|
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|
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|
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|
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|
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|
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|
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"search_context_size_low": 0.01,
|
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|
|
@ -47382,7 +47464,8 @@
|
|||
"supports_vision": true,
|
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"supports_xhigh_reasoning_effort": true,
|
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"supports_max_reasoning_effort": true,
|
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"prompt_cache_min_tokens": 1024
|
||||
"prompt_cache_min_tokens": 1024,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-opus-4-8@default": {
|
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"deprecation_date": "2027-05-28",
|
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|
|
@ -47391,14 +47474,18 @@
|
|||
"supports_adaptive_thinking": true,
|
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|
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|
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|
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|
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|
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|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
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"max_input_tokens": 1000000,
|
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|
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|
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|
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|
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|
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|
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"search_context_size_high": 0.01,
|
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"search_context_size_low": 0.01,
|
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|
|
@ -47416,18 +47503,21 @@
|
|||
"supports_vision": true,
|
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"supports_xhigh_reasoning_effort": true,
|
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|
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|
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"prompt_cache_min_tokens": 1024,
|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 200000,
|
||||
|
|
@ -47446,7 +47536,8 @@
|
|||
"supports_response_schema": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"prompt_cache_min_tokens": 1024
|
||||
"prompt_cache_min_tokens": 1024,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-sonnet-5": {
|
||||
"deprecation_date": "2026-12-24",
|
||||
|
|
@ -47456,12 +47547,14 @@
|
|||
"cache_creation_input_token_cost_above_1hr": 4e-06,
|
||||
"cache_read_input_token_cost": 2e-07,
|
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|
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|
||||
"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 1000000,
|
||||
"max_output_tokens": 128000,
|
||||
"max_tokens": 128000,
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 1e-05,
|
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|
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|
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"search_context_size_high": 0.01,
|
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"search_context_size_low": 0.01,
|
||||
|
|
@ -47480,7 +47573,8 @@
|
|||
"supports_vision": true,
|
||||
"supports_xhigh_reasoning_effort": true,
|
||||
"supports_max_reasoning_effort": true,
|
||||
"prompt_cache_min_tokens": 1024
|
||||
"prompt_cache_min_tokens": 1024,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-sonnet-4-6": {
|
||||
"regional_endpoint_uplift_multiplier": 1.1,
|
||||
|
|
@ -47488,14 +47582,18 @@
|
|||
"supports_legacy_thinking": true,
|
||||
"cache_creation_input_token_cost": 3.75e-06,
|
||||
"cache_creation_input_token_cost_above_1hr": 6e-06,
|
||||
"cache_creation_input_token_cost_batches": 1.88e-06,
|
||||
"cache_read_input_token_cost": 3e-07,
|
||||
"cache_read_input_token_cost_batches": 1.5e-07,
|
||||
"input_cost_per_token": 3e-06,
|
||||
"input_cost_per_token_batches": 1.5e-06,
|
||||
"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 1000000,
|
||||
"max_output_tokens": 64000,
|
||||
"max_tokens": 64000,
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 1.5e-05,
|
||||
"output_cost_per_token_batches": 7.5e-06,
|
||||
"supports_assistant_prefill": true,
|
||||
"supports_computer_use": true,
|
||||
"supports_function_calling": true,
|
||||
|
|
@ -47512,18 +47610,21 @@
|
|||
"search_context_size_medium": 0.01
|
||||
},
|
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|
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|
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|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
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|
||||
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|
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|
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|
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@ -47543,7 +47644,8 @@
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@ -47553,6 +47655,7 @@
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|
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@ -47564,6 +47667,7 @@
|
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|
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|
|
@ -47575,6 +47679,7 @@
|
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|
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|
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|
|
@ -47586,6 +47691,7 @@
|
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"max_tokens": 128000,
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@ -47623,14 +47729,17 @@
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|
@ -47641,6 +47750,7 @@
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@ -47650,7 +47760,7 @@
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@ -47662,13 +47772,15 @@
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@ -48244,13 +48356,15 @@
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@ -48304,13 +48418,15 @@
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@ -48356,6 +48472,7 @@
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@ -48363,11 +48480,12 @@
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@ -48375,12 +48493,13 @@
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@ -48388,7 +48507,7 @@
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@ -48535,7 +48658,7 @@
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@ -48564,7 +48687,7 @@
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@ -48587,13 +48710,15 @@
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@ -48604,9 +48729,11 @@
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@ -48617,7 +48744,7 @@
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|
@ -48634,7 +48761,7 @@
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|
@ -48726,13 +48853,15 @@
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|
@ -48741,14 +48870,17 @@
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|
@ -48763,7 +48895,7 @@
|
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|
@ -48778,7 +48910,7 @@
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|
@ -54979,12 +55111,14 @@
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|
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|
|
@ -55003,7 +55137,8 @@
|
|||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
@ -55011,14 +55146,18 @@
|
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|
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|
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|
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|
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|
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|
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|
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"supports_function_calling": true,
|
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|
|
@ -55035,7 +55174,8 @@
|
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|
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|
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|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
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},
|
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"duckduckgo/search": {
|
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|
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|
|
@ -66059,6 +66199,32 @@
|
|||
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|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
|
@ -72657,5 +72823,46 @@
|
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|
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|
|
|
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|
|
@ -46720,16 +46720,20 @@
|
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|
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"source": "https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/claude/haiku-4-5",
|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing",
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|
|
@ -46745,16 +46749,20 @@
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"source": "https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/claude/haiku-4-5",
|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing",
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|
|
@ -46877,14 +46885,18 @@
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|
@ -46901,20 +46913,25 @@
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|
|
@ -46932,7 +46949,8 @@
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|
|
@ -46941,14 +46959,18 @@
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|
|
@ -46965,7 +46987,8 @@
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|
@ -46974,14 +46997,18 @@
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|
|
@ -46998,7 +47025,8 @@
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|
|
@ -47006,14 +47034,18 @@
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|
|
@ -47031,7 +47063,8 @@
|
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|
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|
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|
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|
|
@ -47039,14 +47072,18 @@
|
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|
|
@ -47064,7 +47101,8 @@
|
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|
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|
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|
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|
|
@ -47072,14 +47110,18 @@
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|
||||
"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 1000000,
|
||||
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|
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|
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|
||||
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|
||||
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|
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|
||||
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|
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"search_context_size_low": 0.01,
|
||||
|
|
@ -47099,14 +47141,17 @@
|
|||
"supports_vision": true,
|
||||
"supports_xhigh_reasoning_effort": true,
|
||||
"supports_max_reasoning_effort": true,
|
||||
"prompt_cache_min_tokens": 512
|
||||
"prompt_cache_min_tokens": 512,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-fable-5-1": {
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"input_cost_per_token": 1e-05,
|
||||
"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 1000000,
|
||||
|
|
@ -47136,7 +47181,10 @@
|
|||
"supports_xhigh_reasoning_effort": true,
|
||||
"supports_max_reasoning_effort": true,
|
||||
"prompt_cache_min_tokens": 512,
|
||||
"deprecation_date": "2027-03-01"
|
||||
"deprecation_date": "2027-03-01",
|
||||
"input_cost_per_token_batches": 5e-06,
|
||||
"output_cost_per_token_batches": 2.5e-05,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-fable-5@default": {
|
||||
"deprecation_date": "2027-06-08",
|
||||
|
|
@ -47144,14 +47192,18 @@
|
|||
"supports_mid_conversation_system": true,
|
||||
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|
||||
"cache_creation_input_token_cost_above_1hr": 2e-05,
|
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|
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|
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|
||||
"input_cost_per_token": 1e-05,
|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
||||
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|
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|
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"max_tokens": 128000,
|
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|
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|
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|
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|
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"search_context_size_low": 0.01,
|
||||
|
|
@ -47171,14 +47223,17 @@
|
|||
"supports_vision": true,
|
||||
"supports_xhigh_reasoning_effort": true,
|
||||
"supports_max_reasoning_effort": true,
|
||||
"prompt_cache_min_tokens": 512
|
||||
"prompt_cache_min_tokens": 512,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-fable-5-1@default": {
|
||||
"regional_endpoint_uplift_multiplier": 1.1,
|
||||
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|
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|
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|
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|
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|
||||
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|
||||
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 1000000,
|
||||
|
|
@ -47208,7 +47263,10 @@
|
|||
"supports_xhigh_reasoning_effort": true,
|
||||
"supports_max_reasoning_effort": true,
|
||||
"prompt_cache_min_tokens": 512,
|
||||
"deprecation_date": "2027-03-01"
|
||||
"deprecation_date": "2027-03-01",
|
||||
"input_cost_per_token_batches": 5e-06,
|
||||
"output_cost_per_token_batches": 2.5e-05,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-opus-5": {
|
||||
"deprecation_date": "2027-01-24",
|
||||
|
|
@ -47217,14 +47275,18 @@
|
|||
"supports_adaptive_thinking": true,
|
||||
"cache_creation_input_token_cost": 6.25e-06,
|
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|
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|
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|
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|
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|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
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|
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|
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|
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|
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|
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|
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"search_context_size_high": 0.01,
|
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|
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|
|
@ -47242,7 +47304,8 @@
|
|||
"supports_vision": true,
|
||||
"supports_xhigh_reasoning_effort": true,
|
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"supports_max_reasoning_effort": true,
|
||||
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|
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"prompt_cache_min_tokens": 512,
|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
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},
|
||||
"vertex_ai/claude-opus-5@default": {
|
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|
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|
|
@ -47251,14 +47314,18 @@
|
|||
"supports_adaptive_thinking": true,
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"search_context_size_low": 0.01,
|
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|
|
@ -47276,21 +47343,26 @@
|
|||
"supports_vision": true,
|
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|
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"supports_max_reasoning_effort": true,
|
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|
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"prompt_cache_min_tokens": 512,
|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
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"max_input_tokens": 1000000,
|
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|
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|
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|
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|
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|
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|
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|
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|
|
@ -47312,21 +47384,26 @@
|
|||
"supports_vision": true,
|
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"supports_xhigh_reasoning_effort": true,
|
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|
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|
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"prompt_cache_min_tokens": 512,
|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
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},
|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
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|
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|
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|
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|
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|
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|
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|
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"search_context_size_low": 0.01,
|
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|
|
@ -47348,7 +47425,8 @@
|
|||
"supports_vision": true,
|
||||
"supports_xhigh_reasoning_effort": true,
|
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|
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|
||||
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|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
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|
||||
"deprecation_date": "2027-05-28",
|
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|
|
@ -47357,14 +47435,18 @@
|
|||
"supports_adaptive_thinking": true,
|
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"cache_creation_input_token_cost": 6.25e-06,
|
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|
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|
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|
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|
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|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
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|
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|
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|
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|
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|
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|
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|
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"search_context_size_low": 0.01,
|
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|
|
@ -47382,7 +47464,8 @@
|
|||
"supports_vision": true,
|
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"supports_xhigh_reasoning_effort": true,
|
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"supports_max_reasoning_effort": true,
|
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"prompt_cache_min_tokens": 1024
|
||||
"prompt_cache_min_tokens": 1024,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-opus-4-8@default": {
|
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"deprecation_date": "2027-05-28",
|
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|
|
@ -47391,14 +47474,18 @@
|
|||
"supports_adaptive_thinking": true,
|
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|
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|
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|
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|
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|
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|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
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"max_input_tokens": 1000000,
|
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|
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|
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|
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|
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|
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|
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"search_context_size_high": 0.01,
|
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"search_context_size_low": 0.01,
|
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|
|
@ -47416,18 +47503,21 @@
|
|||
"supports_vision": true,
|
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"supports_xhigh_reasoning_effort": true,
|
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|
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|
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"prompt_cache_min_tokens": 1024,
|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
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|
||||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 200000,
|
||||
|
|
@ -47446,7 +47536,8 @@
|
|||
"supports_response_schema": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true,
|
||||
"prompt_cache_min_tokens": 1024
|
||||
"prompt_cache_min_tokens": 1024,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-sonnet-5": {
|
||||
"deprecation_date": "2026-12-24",
|
||||
|
|
@ -47456,12 +47547,14 @@
|
|||
"cache_creation_input_token_cost_above_1hr": 4e-06,
|
||||
"cache_read_input_token_cost": 2e-07,
|
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|
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|
||||
"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 1000000,
|
||||
"max_output_tokens": 128000,
|
||||
"max_tokens": 128000,
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 1e-05,
|
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|
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|
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"search_context_size_high": 0.01,
|
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"search_context_size_low": 0.01,
|
||||
|
|
@ -47480,7 +47573,8 @@
|
|||
"supports_vision": true,
|
||||
"supports_xhigh_reasoning_effort": true,
|
||||
"supports_max_reasoning_effort": true,
|
||||
"prompt_cache_min_tokens": 1024
|
||||
"prompt_cache_min_tokens": 1024,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-sonnet-4-6": {
|
||||
"regional_endpoint_uplift_multiplier": 1.1,
|
||||
|
|
@ -47488,14 +47582,18 @@
|
|||
"supports_legacy_thinking": true,
|
||||
"cache_creation_input_token_cost": 3.75e-06,
|
||||
"cache_creation_input_token_cost_above_1hr": 6e-06,
|
||||
"cache_creation_input_token_cost_batches": 1.88e-06,
|
||||
"cache_read_input_token_cost": 3e-07,
|
||||
"cache_read_input_token_cost_batches": 1.5e-07,
|
||||
"input_cost_per_token": 3e-06,
|
||||
"input_cost_per_token_batches": 1.5e-06,
|
||||
"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 1000000,
|
||||
"max_output_tokens": 64000,
|
||||
"max_tokens": 64000,
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 1.5e-05,
|
||||
"output_cost_per_token_batches": 7.5e-06,
|
||||
"supports_assistant_prefill": true,
|
||||
"supports_computer_use": true,
|
||||
"supports_function_calling": true,
|
||||
|
|
@ -47512,18 +47610,21 @@
|
|||
"search_context_size_medium": 0.01
|
||||
},
|
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|
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|
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|
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"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
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|
||||
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|
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|
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|
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@ -47543,7 +47644,8 @@
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@ -47553,6 +47655,7 @@
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|
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@ -47564,6 +47667,7 @@
|
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|
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|
|
@ -47575,6 +47679,7 @@
|
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|
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|
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|
|
@ -47586,6 +47691,7 @@
|
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"max_tokens": 128000,
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@ -47623,14 +47729,17 @@
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|
@ -47641,6 +47750,7 @@
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@ -47650,7 +47760,7 @@
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@ -47662,13 +47772,15 @@
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@ -48244,13 +48356,15 @@
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@ -48304,13 +48418,15 @@
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@ -48356,6 +48472,7 @@
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@ -48363,11 +48480,12 @@
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@ -48375,12 +48493,13 @@
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@ -48388,7 +48507,7 @@
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@ -48535,7 +48658,7 @@
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@ -48564,7 +48687,7 @@
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@ -48587,13 +48710,15 @@
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@ -48604,9 +48729,11 @@
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@ -48617,7 +48744,7 @@
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|
@ -48634,7 +48761,7 @@
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|
@ -48726,13 +48853,15 @@
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|
@ -48741,14 +48870,17 @@
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|
@ -48763,7 +48895,7 @@
|
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|
@ -48778,7 +48910,7 @@
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|
@ -54979,12 +55111,14 @@
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|
||||
"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 1000000,
|
||||
"max_output_tokens": 128000,
|
||||
"max_tokens": 128000,
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 1e-05,
|
||||
"output_cost_per_token_batches": 5e-06,
|
||||
"search_context_cost_per_query": {
|
||||
"search_context_size_high": 0.01,
|
||||
"search_context_size_low": 0.01,
|
||||
|
|
@ -55003,7 +55137,8 @@
|
|||
"supports_vision": true,
|
||||
"supports_xhigh_reasoning_effort": true,
|
||||
"supports_max_reasoning_effort": true,
|
||||
"prompt_cache_min_tokens": 1024
|
||||
"prompt_cache_min_tokens": 1024,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/claude-sonnet-4-6@default": {
|
||||
"regional_endpoint_uplift_multiplier": 1.1,
|
||||
|
|
@ -55011,14 +55146,18 @@
|
|||
"supports_legacy_thinking": true,
|
||||
"cache_creation_input_token_cost": 3.75e-06,
|
||||
"cache_creation_input_token_cost_above_1hr": 6e-06,
|
||||
"cache_creation_input_token_cost_batches": 1.88e-06,
|
||||
"cache_read_input_token_cost": 3e-07,
|
||||
"cache_read_input_token_cost_batches": 1.5e-07,
|
||||
"input_cost_per_token": 3e-06,
|
||||
"input_cost_per_token_batches": 1.5e-06,
|
||||
"litellm_provider": "vertex_ai-anthropic_models",
|
||||
"max_input_tokens": 1000000,
|
||||
"max_output_tokens": 64000,
|
||||
"max_tokens": 64000,
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 1.5e-05,
|
||||
"output_cost_per_token_batches": 7.5e-06,
|
||||
"supports_assistant_prefill": true,
|
||||
"supports_computer_use": true,
|
||||
"supports_function_calling": true,
|
||||
|
|
@ -55035,7 +55174,8 @@
|
|||
"search_context_size_medium": 0.01
|
||||
},
|
||||
"supports_output_config": true,
|
||||
"prompt_cache_min_tokens": 1024
|
||||
"prompt_cache_min_tokens": 1024,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"duckduckgo/search": {
|
||||
"litellm_provider": "duckduckgo",
|
||||
|
|
@ -66059,6 +66199,32 @@
|
|||
"output_cost_per_token": 9e-06,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/gemini-omni-1.1-flash-preview": {
|
||||
"input_cost_per_token": 1.5e-06,
|
||||
"litellm_provider": "vertex_ai",
|
||||
"max_output_tokens": 57920,
|
||||
"max_tokens": 57920,
|
||||
"mode": "chat",
|
||||
"output_cost_per_reasoning_token": 9e-06,
|
||||
"output_cost_per_token": 9e-06,
|
||||
"output_cost_per_video_token": 1.75e-05,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing",
|
||||
"supported_endpoints": [
|
||||
"/v1beta/interactions"
|
||||
],
|
||||
"supported_modalities": [
|
||||
"text",
|
||||
"image",
|
||||
"video"
|
||||
],
|
||||
"supported_output_modalities": [
|
||||
"text",
|
||||
"video"
|
||||
],
|
||||
"supports_reasoning": true,
|
||||
"supports_video_input": true,
|
||||
"supports_vision": true
|
||||
},
|
||||
"vertex_ai/gemma-4-26b-a4b-it": {
|
||||
"cache_read_input_token_cost": 1.5e-08,
|
||||
"input_cost_per_token": 1.5e-07,
|
||||
|
|
@ -72657,5 +72823,46 @@
|
|||
"supports_response_schema": true,
|
||||
"supports_tool_choice": true,
|
||||
"supports_vision": true
|
||||
},
|
||||
"vertex_ai/gemini-2.0-flash": {
|
||||
"input_cost_per_audio_token": 1e-06,
|
||||
"input_cost_per_audio_token_batches": 5e-07,
|
||||
"input_cost_per_character": 3.75e-08,
|
||||
"input_cost_per_token": 1.5e-07,
|
||||
"input_cost_per_token_batches": 7.5e-08,
|
||||
"litellm_provider": "vertex_ai",
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 6e-07,
|
||||
"output_cost_per_token_batches": 3e-07,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/gemini-2.0-flash-lite": {
|
||||
"input_cost_per_audio_token": 7.5e-08,
|
||||
"input_cost_per_audio_token_batches": 3.75e-08,
|
||||
"input_cost_per_character": 1.875e-08,
|
||||
"input_cost_per_token": 7.5e-08,
|
||||
"input_cost_per_token_batches": 3.75e-08,
|
||||
"litellm_provider": "vertex_ai",
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 3e-07,
|
||||
"output_cost_per_token_batches": 1.5e-07,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing"
|
||||
},
|
||||
"vertex_ai/zai-org/glm-5.2-maas": {
|
||||
"cache_read_input_token_cost": 1.4e-07,
|
||||
"input_cost_per_token": 1.4e-06,
|
||||
"litellm_provider": "vertex_ai-zai_models",
|
||||
"max_input_tokens": 1000000,
|
||||
"max_output_tokens": 64000,
|
||||
"max_tokens": 64000,
|
||||
"mode": "chat",
|
||||
"output_cost_per_token": 4.4e-06,
|
||||
"source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing",
|
||||
"supported_regions": ["global"],
|
||||
"supports_function_calling": true,
|
||||
"supports_prompt_caching": true,
|
||||
"supports_reasoning": true,
|
||||
"supports_response_schema": true,
|
||||
"supports_tool_choice": true
|
||||
}
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue