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Gemini 2.5 Pro

Gemini 2.5 Pro is a Pro-tier thinking model from Google, built for complex reasoning, coding, math, and science tasks, with strong results on human preference benchmarks and a context window of 1.0M tokens.

File InputReasoningTool UseVision (Image)Web Searchtiered-costImplicit Caching
index.ts
import { streamText } from 'ai'


const result = streamText({
  model: 'google/gemini-2.5-pro',
  prompt: 'Why is the sky blue?'
})
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Frequently Asked Questions

  • What is Gemini 2.5 Pro's score on LMArena?

    Gemini 2.5 Pro ranks highly on LMArena, which measures human preferences across a broad range of tasks. Check the LMArena leaderboard for the latest score, as rankings shift over time.

  • What coding benchmarks does 2.5 Pro perform strongly on?

    Gemini 2.5 Pro scores 63.8% on SWE-Bench Verified with a custom agent setup. SWE-Bench Verified is the industry-standard benchmark for agentic code evaluation. The model also excels at creating web apps, agentic code applications, and code transformation.

  • How does 2.5 Pro's thinking capability differ from 2.5 Flash's?

    Both models reason through problems before responding. Gemini 2.5 Pro is the Pro tier in the Gemini 2.5 family and posts strong results on coding, math, and science benchmarks. Gemini 2.5 Flash provides configurable thinking budgets and sits at the Pareto frontier of cost and performance.

  • What is Humanity's Last Exam and how does Gemini 2.5 Pro perform on it?

    Humanity's Last Exam is a benchmark dataset created by hundreds of subject matter experts to capture the human frontier of knowledge and reasoning. Gemini 2.5 Pro scores 18.8% on this benchmark without tool use.

  • What is the context window size?

    Gemini 2.5 Pro has a context window of 1.0M tokens, the largest among Gemini 2.5 models, enabling it to process entire code repositories, lengthy research datasets, or extensive multi-document inputs in a single pass.

  • What tool use capabilities does 2.5 Pro have?

    Google Search and code execution are available as built-in tools. The model can fetch real-time information, run code, and verify results within a single inference session.

  • Does 2.5 Pro support multimodal input?

    Yes. The model accepts text, audio, images, video, and entire code repositories as input, maintaining the native multimodality that defines the Gemini model family.

  • Is Gemini 2.5 Pro generally available?

    It launched as an experimental model on March 20, 2025. Google later promoted it to stable general availability as part of the Gemini 2.5 family expansion.