Context Window

Compare

Claude Opus 4.7 (Fast) vs Grok 3 Beta

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 (Fast)

Image inputTool calling

Context window

1M

1,000,000 tokens · ~750K words

Model page
Xai

Model

Grok 3 Beta

Tool calling

Context window

131K

131,072 tokens · ~98K 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 4.7 (Fast)1M
Grok 3 Beta131K

Claude Opus 4.7 (Fast) has about 7.6× the context window of the other in this pair.

Token calculator →Memory savings →

Claude Opus 4.7 (Fast) has 662% more context capacity (1000K vs 131K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Claude Opus 4.7 (Fast). Its 1000K context fits entire documents without chunking (vs 131K).

  • Long output (reports, code files)

    Use Grok 3 Beta. Its 131K 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 4.7 (Fast)Grok 3 Beta
Context window1,000,000 tokens (1000K)131,072 tokens (131K)
Max output tokens128,000 tokens (128K)131,072 tokens (131K)
Speed tierDeepBalanced
VisionYesNo
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesYes
Batch APIYesNo
Release dateMay 2026Apr 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.

ProviderClaude Opus 4.7 (Fast) inClaude Opus 4.7 (Fast) outGrok 3 Beta inGrok 3 Beta out
Xai——$3.00/M$15.00/M

Frequently asked questions

Claude Opus 4.7 (Fast) has a larger context window: 1000K tokens vs 131K. 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