Context Window

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Anthropic Claude vs Gemini 2.5 Pro

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Anthropic

Model

Anthropic Claude

Context window

100K

100,000 tokens · ~75K words

Model page
Google

Model

Gemini 2.5 Pro

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

Anthropic Claude100K
Gemini 2.5 Pro1M

Gemini 2.5 Pro has about 10× the context window of the other in this pair.

Token calculator →Memory savings →

Gemini 2.5 Pro has 900% more context capacity (1000K vs 100K tokens). Gemini 2.5 Pro is 84% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gemini 2.5 Pro. Its 1000K context fits entire documents without chunking (vs 100K).

  • RAG / high-volume retrieval

    Use Gemini 2.5 Pro. Input tokens are 84% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gemini 2.5 Pro. Its 1000K max output lets you generate complete artifacts in one request.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecAnthropic ClaudeGemini 2.5 Pro
Context window100,000 tokens (100K)1,000,000 tokens (1000K)
Max output tokens8,191 tokens (8K)1,000,000 tokens (1000K)
Speed tierBalancedFast
VisionNoYes
Function callingNoYes
Extended thinkingNoYes
Prompt cachingNoYes
Batch APIYesNo
Release dateN/AJun 2025

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderAnthropic Claude inAnthropic Claude outGemini 2.5 Pro inGemini 2.5 Pro out
Aws Bedrock$8.00/M$24.00/M——
Deepinfra——$1.25/M$10.00/M
Google——$1.25/M$10.00/M
Google Vertex——$1.25/M$10.00/M
Openrouter——$1.25/M$10.00/M

Frequently asked questions

Gemini 2.5 Pro has a larger context window: 1000K tokens vs 100K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

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Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

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Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model