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Open weightsMistral AI/10 trustVerified
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Mixtral 8x22B Instruct

141B sparse MoE with 39B active parameters, Apache 2.0.

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About

Mixtral-8x22B-Instruct-v0.1 is Mistral AI's large sparse mixture-of-experts model: 141 billion total parameters with only 39 billion active per token through top-2 routing across eight experts. It was initially distributed via a BitTorrent link before appearing on Hugging Face.

The model offers a 64K context window with function calling, structured output, and reasoning support. It remains a strong Apache 2.0 licensed open model for cost-efficient large-model inference.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

April 17, 2024

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

chat-assistantfunction-callingcodelong-contextcost-efficient

Trust score — 9/10

/10 trustVerified

Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 134; Trending score 86/100 from researcher assessment.

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