Context Window

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MiMo-V2.6-Flash vs 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.

Xiaomi

Model

MiMo-V2.6-Flash

Image inputTool calling

Context window

1.0M

1,048,576 tokens · ~786K words

Model page
Mistral

Model

Mixtral 8x7B Instruct

Tool calling

Context window

33K

32,768 tokens · ~25K 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.

MiMo-V2.6-Flash1.0M
Mixtral 8x7B Instruct33K

MiMo-V2.6-Flash has about 32× the context window of the other in this pair.

Token calculator →Memory savings →

MiMo-V2.6-Flash has 3100% more context capacity (1048K vs 32K tokens). MiMo-V2.6-Flash is 72% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use MiMo-V2.6-Flash. Its 1048K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use MiMo-V2.6-Flash. Input tokens are 72% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use MiMo-V2.6-Flash. 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.

SpecMiMo-V2.6-FlashMixtral 8x7B Instruct
Context window1,048,576 tokens (1048K)32,768 tokens (32K)
Max output tokens131,072 tokens (131K)32,768 tokens (32K)
Speed tierFastFast
VisionYesNo
Function callingYesYes
Extended thinkingYesNo
Prompt cachingYesNo
Batch APINoNo
Release dateSep 2026Dec 2023

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.

ProviderMiMo-V2.6-Flash inMiMo-V2.6-Flash outMixtral 8x7B Instruct inMixtral 8x7B Instruct out
Fireworks——$0.500/M$0.500/M
Openrouter$0.140/M$0.280/M——

Frequently asked questions

MiMo-V2.6-Flash has a larger context window: 1048K 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.

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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.

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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