| Detailed specifications | Specifications · 41 fields- cache read input audio token cost
- 1.0e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- cache read input token cost
- 3.0e-8*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- cache read input token cost flex
- 3.0e-8*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- cache read input token cost priority
- 5.4e-8*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- deprecation date
- 2026-10-20*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- google maps grounding cost per query
- 0.025*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per audio token
- 1.0e-6*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per audio token batches
- 5.0e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per audio token priority
- 1.8e-6*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per token
- 3.0e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per token batches
- 1.5e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per token flex
- 1.5e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per token priority
- 5.4e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- litellm provider
- vertex_ai-language-models*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- max input tokens
- 1,048,576*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- max output tokens
- 65,535*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- max tokens
- 65,535*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- mode
- chat*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per reasoning token
- 2.5e-6*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per token
- 2.5e-6*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per token batches
- 1.25e-6*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per token flex
- 1.25e-6*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per token priority
- 4.5e-6*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- search context cost per query
- search_context_size_low
- 0.035*
- search_context_size_medium
- 0.035*
- search_context_size_high
- 0.035*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- search free requests
- count
- 1,500*
- period
- day*
- shared_group
- gemini-2-flash*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supported endpoints
- /v1/chat/completions*
- /v1/completions*
- /v1/batch*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supported modalities
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supported output modalities
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports audio output
- No*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports function calling
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports image size
- No*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports parallel function calling
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports pdf input
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports prompt caching
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports reasoning
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports response schema
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports system messages
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports tool choice
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports url context
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports vision
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports web search
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-flash*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
| Specifications 1 · 12 fields- api providers
- Google AI Studio (Gemini API), Vertex AI, OpenRouter*
Scope and conditions- native_context
- metadata
- name
- Convly AI Models Database*
- description
- Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
- generated
- 2026-09-22T15:41:48+00:00*
- model_count
- 43*
- fields
- slug*
- name*
- developer*
- model_type*
- modality*
- parameters*
- context_window*
- max_output*
- open_weights*
- license*
- release_date*
- input_price*
- output_price*
- price_unit*
- price_tiers*
- vram_q4*
- vram_q4_gb*
- min_gpu*
- intelligence*
- api_providers*
- official_url*
- retired*
- convly_url*
- developer
- Google*
- price_unit
- Not reported*
- price_tiers
- Not reported*
- context window
- 1M (1,048,576 tokens)*
Scope and conditions- native_context
- metadata
- name
- Convly AI Models Database*
- description
- Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
- generated
- 2026-09-22T15:41:48+00:00*
- model_count
- 43*
- fields
- slug*
- name*
- developer*
- model_type*
- modality*
- parameters*
- context_window*
- max_output*
- open_weights*
- license*
- release_date*
- input_price*
- output_price*
- price_unit*
- price_tiers*
- vram_q4*
- vram_q4_gb*
- min_gpu*
- intelligence*
- api_providers*
- official_url*
- retired*
- convly_url*
- developer
- Google*
- price_unit
- Not reported*
- price_tiers
- Not reported*
- developer
- Google*
Scope and conditions- native_context
- metadata
- name
- Convly AI Models Database*
- description
- Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
- generated
- 2026-09-22T15:41:48+00:00*
- model_count
- 43*
- fields
- slug*
- name*
- developer*
- model_type*
- modality*
- parameters*
- context_window*
- max_output*
- open_weights*
- license*
- release_date*
- input_price*
- output_price*
- price_unit*
- price_tiers*
- vram_q4*
- vram_q4_gb*
- min_gpu*
- intelligence*
- api_providers*
- official_url*
- retired*
- convly_url*
- developer
- Google*
- price_unit
- Not reported*
- price_tiers
- Not reported*
- input price
- 1.25*
Scope and conditions- native_context
- metadata
- name
- Convly AI Models Database*
- description
- Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
- generated
- 2026-09-22T15:41:48+00:00*
- model_count
- 43*
- fields
- slug*
- name*
- developer*
- model_type*
- modality*
- parameters*
- context_window*
- max_output*
- open_weights*
- license*
- release_date*
- input_price*
- output_price*
- price_unit*
- price_tiers*
- vram_q4*
- vram_q4_gb*
- min_gpu*
- intelligence*
- api_providers*
- official_url*
- retired*
- convly_url*
- developer
- Google*
- price_unit
- Not reported*
- price_tiers
- Not reported*
- license
- Proprietary*
Scope and conditions- native_context
- metadata
- name
- Convly AI Models Database*
- description
- Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
- generated
- 2026-09-22T15:41:48+00:00*
- model_count
- 43*
- fields
- slug*
- name*
- developer*
- model_type*
- modality*
- parameters*
- context_window*
- max_output*
- open_weights*
- license*
- release_date*
- input_price*
- output_price*
- price_unit*
- price_tiers*
- vram_q4*
- vram_q4_gb*
- min_gpu*
- intelligence*
- api_providers*
- official_url*
- retired*
- convly_url*
- developer
- Google*
- price_unit
- Not reported*
- price_tiers
- Not reported*
- max output
- 64K (65,536 tokens)*
Scope and conditions- native_context
- metadata
- name
- Convly AI Models Database*
- description
- Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
- generated
- 2026-09-22T15:41:48+00:00*
- model_count
- 43*
- fields
- slug*
- name*
- developer*
- model_type*
- modality*
- parameters*
- context_window*
- max_output*
- open_weights*
- license*
- release_date*
- input_price*
- output_price*
- price_unit*
- price_tiers*
- vram_q4*
- vram_q4_gb*
- min_gpu*
- intelligence*
- api_providers*
- official_url*
- retired*
- convly_url*
- developer
- Google*
- price_unit
- Not reported*
- price_tiers
- Not reported*
- modality
- Text, Image, Audio, Video, PDF → Text*
Scope and conditions- native_context
- metadata
- name
- Convly AI Models Database*
- description
- Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
- generated
- 2026-09-22T15:41:48+00:00*
- model_count
- 43*
- fields
- slug*
- name*
- developer*
- model_type*
- modality*
- parameters*
- context_window*
- max_output*
- open_weights*
- license*
- release_date*
- input_price*
- output_price*
- price_unit*
- price_tiers*
- vram_q4*
- vram_q4_gb*
- min_gpu*
- intelligence*
- api_providers*
- official_url*
- retired*
- convly_url*
- developer
- Google*
- price_unit
- Not reported*
- price_tiers
- Not reported*
- model type
- LLM (frontier reasoning / thinking)*
Scope and conditions- native_context
- metadata
- name
- Convly AI Models Database*
- description
- Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
- generated
- 2026-09-22T15:41:48+00:00*
- model_count
- 43*
- fields
- slug*
- name*
- developer*
- model_type*
- modality*
- parameters*
- context_window*
- max_output*
- open_weights*
- license*
- release_date*
- input_price*
- output_price*
- price_unit*
- price_tiers*
- vram_q4*
- vram_q4_gb*
- min_gpu*
- intelligence*
- api_providers*
- official_url*
- retired*
- convly_url*
- developer
- Google*
- price_unit
- Not reported*
- price_tiers
- Not reported*
- name
- Gemini 2.5 Pro*
Scope and conditions- native_context
- metadata
- name
- Convly AI Models Database*
- description
- Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
- generated
- 2026-09-22T15:41:48+00:00*
- model_count
- 43*
- fields
- slug*
- name*
- developer*
- model_type*
- modality*
- parameters*
- context_window*
- max_output*
- open_weights*
- license*
- release_date*
- input_price*
- output_price*
- price_unit*
- price_tiers*
- vram_q4*
- vram_q4_gb*
- min_gpu*
- intelligence*
- api_providers*
- official_url*
- retired*
- convly_url*
- developer
- Google*
- price_unit
- Not reported*
- price_tiers
- Not reported*
- open weights
- no*
Scope and conditions- native_context
- metadata
- name
- Convly AI Models Database*
- description
- Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
- generated
- 2026-09-22T15:41:48+00:00*
- model_count
- 43*
- fields
- slug*
- name*
- developer*
- model_type*
- modality*
- parameters*
- context_window*
- max_output*
- open_weights*
- license*
- release_date*
- input_price*
- output_price*
- price_unit*
- price_tiers*
- vram_q4*
- vram_q4_gb*
- min_gpu*
- intelligence*
- api_providers*
- official_url*
- retired*
- convly_url*
- developer
- Google*
- price_unit
- Not reported*
- price_tiers
- Not reported*
- output price
- 10*
Scope and conditions- native_context
- metadata
- name
- Convly AI Models Database*
- description
- Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
- generated
- 2026-09-22T15:41:48+00:00*
- model_count
- 43*
- fields
- slug*
- name*
- developer*
- model_type*
- modality*
- parameters*
- context_window*
- max_output*
- open_weights*
- license*
- release_date*
- input_price*
- output_price*
- price_unit*
- price_tiers*
- vram_q4*
- vram_q4_gb*
- min_gpu*
- intelligence*
- api_providers*
- official_url*
- retired*
- convly_url*
- developer
- Google*
- price_unit
- Not reported*
- price_tiers
- Not reported*
- release date
- March 2025 (preview); June 17, 2025 (GA)*
Scope and conditions- native_context
- metadata
- name
- Convly AI Models Database*
- description
- Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.*
- generated
- 2026-09-22T15:41:48+00:00*
- model_count
- 43*
- fields
- slug*
- name*
- developer*
- model_type*
- modality*
- parameters*
- context_window*
- max_output*
- open_weights*
- license*
- release_date*
- input_price*
- output_price*
- price_unit*
- price_tiers*
- vram_q4*
- vram_q4_gb*
- min_gpu*
- intelligence*
- api_providers*
- official_url*
- retired*
- convly_url*
- developer
- Google*
- price_unit
- Not reported*
- price_tiers
- Not reported*
Specifications 2 · 42 fields- cache creation input token cost above 200k tokens
- 2.5e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- cache read input token cost
- 1.25e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- cache read input token cost above 200k tokens
- 2.5e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- cache read input token cost above 200k tokens priority
- 4.5e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- cache read input token cost flex
- 1.25e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- cache read input token cost priority
- 2.25e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- deprecation date
- 2026-10-20*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- google maps grounding cost per query
- 0.025*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per token
- 1.25e-6*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per token above 200k tokens
- 2.5e-6*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per token above 200k tokens priority
- 4.5e-6*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per token batches
- 6.25e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per token flex
- 6.25e-7*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- input cost per token priority
- 2.25e-6*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- litellm provider
- vertex_ai-language-models*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- max input tokens
- 1,048,576*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- max output tokens
- 65,535*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- max tokens
- 65,535*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- mode
- chat*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per token
- 1.0e-5*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per token above 200k tokens
- 1.5e-5*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per token above 200k tokens priority
- 2.7e-5*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per token batches
- 5.0e-6*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per token flex
- 5.0e-6*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- output cost per token priority
- 1.8e-5*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- prompt cache min tokens
- 2,048*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- search context cost per query
- search_context_size_low
- 0.035*
- search_context_size_medium
- 0.035*
- search_context_size_high
- 0.035*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- search free requests
- count
- 10,000*
- period
- day*
- shared_group
- gemini-2.5-pro*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supported endpoints
- /v1/chat/completions*
- /v1/completions*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supported modalities
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supported output modalities
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports audio input
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports function calling
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports pdf input
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports prompt caching
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports reasoning
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports response schema
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports system messages
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports tool choice
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports video input
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports vision
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
- supports web search
- Yes*
Scope and conditions- native_context
- provider
- vertex_ai-language-models*
- mode
- chat*
- full_native_model_id
- gemini-2.5-pro*
- pricing_scope
- Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
|