Context Window

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Magistral Small 2506 vs Mistral Mixtral 8x7b Instruct

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.

Mistral

Model

Magistral Small 2506

Tool calling

Context window

40K

40,000 tokens · ~30K words

Model page
Mistral

Model

Mistral Mixtral 8x7b Instruct

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.

Magistral Small 250640K
Mistral Mixtral 8x7b Instruct32K

Magistral Small 2506 has about 1.3× the context window of the other in this pair.

Token calculator →Memory savings →

Magistral Small 2506 has 25% more context capacity (40K vs 32K tokens). Magistral Small 2506 is 15% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Magistral Small 2506. Its 40K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Magistral Small 2506. Input tokens are 15% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Magistral Small 2506. Its 40K 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.

SpecMagistral Small 2506Mistral Mixtral 8x7b Instruct
Context window40,000 tokens (40K)32,000 tokens (32K)
Max output tokens40,000 tokens (40K)8,191 tokens (8K)
Speed tierBalancedFast
VisionNoNo
Function callingYesNo
Extended thinkingYesNo
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.

ProviderMagistral Small 2506 inMagistral Small 2506 outMistral Mixtral 8x7b Instruct inMistral Mixtral 8x7b Instruct out
Aws Bedrock——$0.590/M$0.910/M
Mistral$0.500/M$1.50/M——

Frequently asked questions

Magistral Small 2506 has a larger context window: 40K 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.
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.

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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