CrossModel
Gemini 2.5 Pro
gemini/gemini-2.5-pro
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Gemini · Model guide

Gemini 2.5 Pro

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gemini/gemini-2.5-pro

Google's thinking-first reasoning model, with a 1M-token window and native text, image, audio and video input. No longer the newest Gemini generation, but a stable long-context choice when reliability matters more than frontier scores.

Modalities
TextImageAudioVideoText
Context
1M
Max output
66K
Price / 1M tokens
$ 1.25in$ 10.00out
StreamingTool callingJSON outputImage inputThinking mode

What this model is good at

What the vendor positions it for, and which of our models to reach for instead.

VendorA thinking model for complex code, math, STEM and long-context analysis.source

Best for

  • Long-context analysis · Analyzes large datasets, codebases, documents and PDFs in a 1M-token window.(vendor claim)source

  • Math and STEM reasoning · Official positioning emphasizes complex code, mathematics and STEM.(vendor claim)source

Neighbouring models
Compare them side by side →

Pricing and billing

Tiered pricing: the rate changes once the input passes the threshold.

Price / 1M tokens by input sizeInput < 200.0KInput ≥ 200.0K
Input$ 1.25$ 2.50
Output$ 10.00$ 15.00
Cache read$ 0.13$ 0.25
Cache write$ 1.25$ 2.50
Estimate a request

At this input size you are on the Input < 200.0K tier.

$ 0.0325
Estimated cost per request
10.0K × $ 1.25
+ 2.0K × $ 10.00
≈ $ 32.50 per 1,000 requests

Capabilities and limits

What CrossModel guarantees across every route this model can take right now.

Context window
1.0M tokens
Max output
65.5K tokens
Input / output modalities
Text + Image + Audio + Video → Text
Streaming
Supported
Tool calling
Supported
Structured output (JSON)
Supported
Image input
Supported
Thinking mode
Supported· always on
Reasoning effort
none · minimal · low · medium · high
Available endpoints
/v1/chat/completions · /v1/responses · /v1/messages
First-party sources:Specsai.google.dev 1storage.googleapis.com 2Capabilitiesai.google.dev

Published benchmarks

Scores the vendor reported, with the evaluation setup each one came from.

Coding
  • SWE-Bench Verified
    resolved_rate·Google DeepMind · 2025-03-25custom-agentsetup not fully disclosed
    63.8%
Math reasoning
  • AIME 2025
    accuracy·Google DeepMind · 2025-06enabledsetup not fully disclosed

    GA model, single attempt.

    88%
Multimodal reasoning
  • MMMU
    accuracy·Google DeepMind · 2025-05-20setup not fully disclosed
    84%
Reasoning
  • Humanity's Last Exam
    accuracy·Google DeepMind · 2025-03-25setup not fully disclosed
    18.8%
Scientific reasoning
  • GPQA Diamond
    accuracy·Google DeepMind · 2025-06enabledsetup not fully disclosed

    GA model, single attempt.

    86.4%

Vendor-reported numbers, not CrossModel measurements. Scores are only comparable when the benchmark version, metric and evaluation setup match, so nothing here is averaged or ranked.

Use it in your tools

Point the base URL at CrossModel and paste this model ID — every tool below has a setup guide.

Claude Code
Anthropic's official command-line coding assistant
Cursor
AI-first code editor
Cline
Open-source AI coding agent for VS Code
Codex
OpenAI's coding agent for ChatGPT desktop and the terminal
OpenCode
Open-source terminal coding assistant
Zed
High-performance, AI-native code editor
Open WebUI
Open-source, self-hosted AI chat interface
Continue
Open-source AI coding assistant for VS Code & JetBrains
See all integration guides →

Frequently asked questions

What is Gemini 2.5 Pro?
Gemini 2.5 Pro is available on CrossModel as gemini/gemini-2.5-pro. It has a 1M-token context window and can return up to 66K tokens per request.
How much does Gemini 2.5 Pro cost?
Currently $ 1.25 per 1M input tokens and $ 10.00 per 1M output tokens. Cached input is billed at $ 0.13 per 1M.
Does Gemini 2.5 Pro support tool calling and structured output?
Tool calling: Supported · Structured output (JSON): Supported · Image input: Supported · Streaming: Supported · Thinking mode: Supported
Which endpoint do I call?
For text models, OpenAI Chat Completions (/v1/chat/completions), OpenAI Responses (/v1/responses) and Anthropic Messages (/v1/messages) all work — pick whichever your SDK already speaks.
Can I try it without writing code?
Yes. Sign in and open the Playground on this page to chat with the model directly — no API key needed. Usage is billed from your wallet at the normal rate.

Chat first, integrate later

Chat first, then wire it in once you like the answers.