Context Window

Compare

Claude Sonnet 4 vs Gpt 5 6

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

Claude Sonnet 4

Image inputTool calling

Context window

410K

409,600 tokens · ~307K words

Model page
Openai

Model

Gpt 5 6

Image inputTool calling

Context window

1.1M

1,050,000 tokens · ~788K 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.

Claude Sonnet 4410K
Gpt 5 61.1M

Gpt 5 6 has about 2.6× the context window of the other in this pair.

Token calculator →Memory savings →

Gpt 5 6 has 156% more context capacity (1050K vs 409K tokens). Claude Sonnet 4 is 40% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gpt 5 6. Its 1050K context fits entire documents without chunking (vs 409K).

  • RAG / high-volume retrieval

    Use Claude Sonnet 4. Input tokens are 40% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Gpt 5 6. Its 128K 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.

SpecClaude Sonnet 4Gpt 5 6
Context window409,600 tokens (409K)1,050,000 tokens (1050K)
Max output tokens32,000 tokens (32K)128,000 tokens (128K)
Speed tierBalancedBalanced
VisionYesYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APIYesNo
Release dateMay 2025N/A

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.

ProviderClaude Sonnet 4 inClaude Sonnet 4 outGpt 5 6 inGpt 5 6 out
Gmi$3.00/M$15.00/M——
Google Vertex$3.00/M$15.00/M——
Openai——$5.00/M$30.00/M
Openrouter$3.00/M$15.00/M——

Frequently asked questions

Gpt 5 6 has a larger context window: 1050K tokens vs 409K. 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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Example: a multi-turn chat session

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

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