Context Window

Compare

Claude Opus 4.7 vs Claude Sonnet 4 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 Opus 4.7

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page
Anthropic

Model

Claude Sonnet 4 6

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.

Claude Opus 4.71M
Claude Sonnet 4 61M

Same context window size for both models.

Token calculator →Memory savings →

Claude Opus 4.7 and Claude Sonnet 4 6 have identical context windows (1000K tokens). Claude Sonnet 4 6 is 40% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • RAG / high-volume retrieval

    Use Claude Sonnet 4 6. Input tokens are 40% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Claude Opus 4.7. 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 Opus 4.7Claude Sonnet 4 6
Context window1,000,000 tokens (1000K)1,000,000 tokens (1000K)
Max output tokens128,000 tokens (128K)64,000 tokens (64K)
Speed tierDeepBalanced
VisionYesYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APIYesYes
Release dateApr 2026N/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 Opus 4.7 inClaude Opus 4.7 outClaude Sonnet 4 6 inClaude Sonnet 4 6 out
Anthropic$5.00/M$25.00/M$3.00/M$15.00/M
Aws Bedrock$5.00/M$25.00/M$3.00/M$15.00/M
Azure$5.00/M$25.00/M$3.00/M$15.00/M
Google Vertex$5.00/M$25.00/M$3.00/M$15.00/M
Openrouter$5.00/M$25.00/M$3.00/M$15.00/M

Frequently asked questions

Claude Sonnet 4 6 has a larger context window: 1000K tokens vs 1000K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

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.

Calculate your savingsLearn about Mem0

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