Context Window

Compare

Grok 2 Vision vs Mistral Small

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 2 Vision

Image inputTool calling

Context window

33K

32,768 tokens · ~25K words

Model page
Mistral

Model

Mistral Small

Tool calling

Context window

32K

32,000 tokens · ~24K 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 2 Vision33K
Mistral Small32K

Grok 2 Vision has about 1× the context window of the other in this pair.

Token calculator →Memory savings →

Grok 2 Vision has 2% more context capacity (32K vs 32K tokens). Mistral Small is 95% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Grok 2 Vision. Its 32K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Mistral Small. Input tokens are 95% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Grok 2 Vision. Its 32K 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 2 VisionMistral Small
Context window32,768 tokens (32K)32,000 tokens (32K)
Max output tokens32,768 tokens (32K)8,191 tokens (8K)
Speed tierBalancedBalanced
VisionYesNo
Function callingYesYes
Extended thinkingNoNo
Prompt cachingNoNo
Batch APINoNo
Release dateN/AN/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.

ProviderGrok 2 Vision inGrok 2 Vision outMistral Small inMistral Small out
Azure——$1.00/M$3.00/M
Mistral——$0.100/M$0.300/M
Xai$2.00/M$10.00/M——

Frequently asked questions

Grok 2 Vision has a larger context window: 32K tokens vs 32K. 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.
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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