Context Window
GoogleGemini 2fastVisionTool use

Gemini 2.5 Pro Preview 05-06

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy and nuanced context handling. Gemini 2.5 Pro achieves top-tier performance on multiple benchmarks, including first-place positioning on the LMArena leaderboard, reflecting superior human-preference alignment and complex problem-solving abilities.

1.0M context·~786K words·66K max output
View context detailsCompare with Gemma 7b It
Context window1.0Mtokens
Max output66Ktokens

Context window

This model accepts 1.0M tokens in one request (~786K words of text).

Context window size1.0M tokens
4K32K128K1M10M

What fits in one request

  • Short document
    About 1,500 words of text
    Fits
  • Long document
    About 37K words of text
    Fits
  • Small codebase
    About 150K words of text
    Fits
  • Full novel
    About 375K words of text
    Fits

Specifications

Context size, pricing, and release info in one place.

Context window
1,048,576 tokens (1.0M)
Max output tokens
65,535 tokens (66K)
Speed tier
fast
Provider
Google
Model family
Gemini 2
Release date
May 2025

Capabilities

See which features this model supports, such as vision, tools, and streaming.

Supported (6)
Vision
Supported
Tool use
Supported
Function calling
Supported
Extended thinking
Supported
Streaming
Supported
Prompt caching
Supported
Not supported (2)
Web search
Not supported
Batch API
Not supported

Best for

Jump to a guide or ranking that matches each workload.

ReasoningAI agentsMultimodalLong documentsRAGChatbots

Compare Gemini 2.5 Pro Preview 05-06

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Frequently asked questions

Short answers about context size and how this model behaves.

Gemini 2.5 Pro Preview 05-06 has a context window of 1M tokens (1,048,576 tokens). This million-token window can process entire codebases, long legal documents, or book-length texts in a single pass.

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Example: a multi-turn chat session

Without Mem0~128K tokens sent
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Repeated info
Old context
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