Context Window

Compare

Claude Opus 4.7 (Fast) vs Grok 4 3 Latest

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 4 3 Latest

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 4.7 (Fast)1M
Grok 4 3 Latest1M

Same context window size for both models.

Token calculator →Memory savings →

Claude Opus 4.7 (Fast) and Grok 4 3 Latest have identical context windows (1000K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long output (reports, code files)

    Use Grok 4 3 Latest. 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.

SpecClaude Opus 4.7 (Fast)Grok 4 3 Latest
Context window1,000,000 tokens (1000K)1,000,000 tokens (1000K)
Max output tokens128,000 tokens (128K)1,000,000 tokens (1000K)
Speed tierDeepBalanced
VisionYesYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APIYesNo
Release dateMay 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 (Fast) inClaude Opus 4.7 (Fast) outGrok 4 3 Latest inGrok 4 3 Latest out
Xai——$1.25/M$2.50/M

Frequently asked questions

Grok 4 3 Latest 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