Gemini 2.5 Pro

google/gemini-2.5-pro

Maker: Google, United States
Released: 2025-06-17
Knowledge cutoff: 2025-01
Family: gemini-pro
Weights: closed
Tasks: text.chat, text.reasoning, code, vision.understand, vision.extract
Cheapest offering: Google Gemini API, about $0.00425 for a typical text.chat call

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Offerings

Provider	Model id at the provider	Status	Price per 1M tokens	Per-unit prices	Limits	Capabilities (level)
Google Gemini API	`gemini-2.5-pro`	gadeprecated 2026-12-01	Input: $1.25 Output: $10 Cache read: $0.125 Input, prompts over 200,000 tokens: $2.50 Output, prompts over 200,000 tokens: $15 Cache read, prompts over 200,000 tokens: $0.25 Input, flex tier: $0.625 Output, flex tier: $5 Cache read, flex tier: $0.125 Input, priority tier: $2.25 Output, priority tier: $18 Cache read, priority tier: $0.225 Since 2026-11-03 · Curated by Nanner Tech	none	Context: 1,048,576 tokens Max input: 1,048,576 tokens Max output: 65,536 tokens	`input.text` claimed `input.image` claimed `input.pdf` claimed `input.audio` claimed `input.video` claimed `output.text` claimed `tools` claimed `structured_output` claimed `reasoning` native `tool_choice` claimed `prompt_caching` claimed `web_search` claimed
OpenRouter	`google/gemini-2.5-pro`	deprecated	Input: $1.25 Output: $10 Cache read: $0.125 Cache write (5 min): $0.375 Reasoning: $10 Audio input: $1.25 Input, prompts over 200,000 tokens: $2.5 Output, prompts over 200,000 tokens: $15 Cache read, prompts over 200,000 tokens: $0.25 Since 2026-11-03 · models.dev, MIT	none	Context: 1,048,576 tokens Max output: 65,536 tokens	`input.text` claimed `input.image` claimed `input.pdf` claimed `input.audio` claimed `input.video` claimed `output.text` claimed `tools` claimed `structured_output` claimed `reasoning` claimed
Google Vertex AI	`gemini-2.5-pro`	deprecateddeprecated 2026-10-20	Input: $1.25 Output: $10 Cache read: $0.125 Input, prompts over 200,000 tokens: $2.5 Output, prompts over 200,000 tokens: $15 Cache read, prompts over 200,000 tokens: $0.25 Since 2026-11-03 · models.dev, MIT	none	Context: 1,048,576 tokens Max output: 65,536 tokens	`input.text` claimed `input.image` claimed `input.pdf` claimed `input.audio` claimed `input.video` claimed `output.text` claimed `tools` claimed `structured_output` claimed `reasoning` claimed `tool_choice` claimed `prompt_caching` claimed `web_search` claimed

Quality scores

Basis	Score (0–1)	Raw	Measured	Source
`epoch:gpqa_diamond`	0.885	0.8529	2025-11-16	Epoch AI, CC-BY-4.0, normalized by Nanner Tech
`lmarena:vision_style_control`	0.850	1247.6411	2026-10-19	LMArena, CC-BY-4.0, normalized by Nanner Tech
`lmarena:document_style_control`	0.806	1430.5781	2026-09-13	LMArena, CC-BY-4.0, normalized by Nanner Tech
`epoch:swe_bench_verified`	0.690	0.5756	2026-02-13	Epoch AI, CC-BY-4.0, normalized by Nanner Tech
`epoch:terminal_bench`	0.385	0.3264	2025-06-17	Epoch AI, CC-BY-4.0, normalized by Nanner Tech
`epoch:frontiermath`	0.262	0.2456	2026-06-11	Epoch AI, CC-BY-4.0, normalized by Nanner Tech
`lmarena:webdev`	0.067	1226.0978	2026-10-28	LMArena, CC-BY-4.0, normalized by Nanner Tech

Aliases

Other names the API accepts for this model.

gemini-2.5-pro

Use it from the API

Look this model up, or ask for the best model for its task on the providers that offer it. See the quickstart and the API reference.

Look up this model

curl 'https://rhumbdata.com/v1/models/google/gemini-2.5-pro' \
  -H "Authorization: Bearer $RHUMB_KEY"

Resolve text.chat on its providers

curl 'https://rhumbdata.com/v1/resolve?task=text.chat&providers=gemini,openrouter,vertex' \
  -H "Authorization: Bearer $RHUMB_KEY"

Built from catalog version 2026-11-04.3 of 2026-11-04. Prices are list prices per 1M tokens unless marked otherwise; every score shows its source's notice (see Attributions).