Context Window

Compare

Grok Latest vs Mistral Large 4

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.

Xai

Model

Grok Latest

Image inputTool calling

Context window

500K

500,000 tokens · ~375K words

Model page
Mistral

Model

Mistral Large 4

Image inputTool calling

Context window

524K

524,288 tokens · ~393K 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.

Grok Latest500K
Mistral Large 4524K

Mistral Large 4 has about 1× the context window of the other in this pair.

Token calculator →Memory savings →

Mistral Large 4 has 4% more context capacity (524K vs 500K tokens). Mistral Large 4 is 65% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Mistral Large 4. Its 524K context fits entire documents without chunking (vs 500K).

  • RAG / high-volume retrieval

    Use Mistral Large 4. Input tokens are 65% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Grok Latest. Its 450K 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.

SpecGrok LatestMistral Large 4
Context window500,000 tokens (500K)524,288 tokens (524K)
Max output tokens450,000 tokens (450K)262,144 tokens (262K)
Speed tierBalancedDeep
VisionYesYes
Function callingYesYes
Extended thinkingYesYes
Prompt cachingYesYes
Batch APINoNo
Release dateJul 2026Oct 2026

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.

ProviderGrok Latest inGrok Latest outMistral Large 4 inMistral Large 4 out
Mistral——$0.680/M$2.09/M
Openrouter$2.00/M$6.00/M$0.680/M$2.09/M

Frequently asked questions

Mistral Large 4 has a larger context window: 524K tokens vs 500K. 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