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Mixtral 8x22b Instruct V0 1 vs Open Mixtral 8x22b

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

Mixtral 8x22b Instruct V0 1

Tool calling

Context window

66K

65,536 tokens · ~49K words

Model page
Mistral

Model

Open Mixtral 8x22b

Tool calling

Context window

65K

65,336 tokens · ~49K 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.

Mixtral 8x22b Instruct V0 166K
Open Mixtral 8x22b65K

Mixtral 8x22b Instruct V0 1 has about 1× the context window of the other in this pair.

Mixtral 8x22b Instruct V0 1 has 0% more context capacity (65K vs 65K tokens). Mixtral 8x22b Instruct V0 1 is 70% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Mixtral 8x22b Instruct V0 1. Its 65K context fits entire documents without chunking (vs 65K).

  • RAG / high-volume retrieval

    Use Mixtral 8x22b Instruct V0 1. Input tokens are 70% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Mixtral 8x22b Instruct V0 1. Its 65K 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.

SpecMixtral 8x22b Instruct V0 1Open Mixtral 8x22b
Context window65,536 tokens (65K)65,336 tokens (65K)
Max output tokens65,536 tokens (65K)8,191 tokens (8K)
Speed tierBalancedBalanced
VisionNoNo
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.

ProviderMixtral 8x22b Instruct V0 1 inMixtral 8x22b Instruct V0 1 outOpen Mixtral 8x22b inOpen Mixtral 8x22b out
Anyscale$0.900/M$0.900/M
Mistral$2.00/M$6.00/M
Nscale$0.600/M$0.600/M

Frequently asked questions

Mixtral 8x22b Instruct V0 1 has a larger context window: 65K tokens vs 65K. 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.

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