Mixtral 8x22B Instruct
VerifiedOpen-weight MoE model excelling at instruction following and file analysis.
About Mixtral 8x22B Instruct
Mixtral 8x22B Instruct uses a mixture-of-experts architecture that activates only a subset of its parameters during inference. This design allows efficient scaling while maintaining strong performance on complex prompts. The instruct version has been fine-tuned to follow user directions more reliably than base models.
Its open-weight release enables local deployment and customization for organizations that require data privacy or specialized fine-tuning. The model handles both plain text and file inputs, making it suitable for document summarization and code-related tasks. Users benefit from its balance of capability and computational efficiency without relying on proprietary APIs.
Capabilities
Benchmarks & performance
Independent evaluation scores and measured speed.
Source: Artificial Analysis
How Mixtral 8x22B Instruct compares
Mixtral 8x22B Instruct (striped bar) vs other language models on intelligence, speed and price.
Intelligence
Artificial Analysis Intelligence Index · Higher is better · Mixtral 8x22B Instruct ranks #63 of 67
Price
USD per 1M output tokens · Lower is better · Mixtral 8x22B Instruct ranks #132 of 141
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Document Analysis
The 65536-token context window combined with long-context reasoning and text summarization allows effective processing of extensive reports or legal documents into concise summaries and insights.
Multilingual Application Development
Strong code generation paired with multilingual text generation supports building software that handles multiple languages while following detailed instructions.
Complex Problem Solving
Instruction following and logical problem-solving capabilities make it suitable for debugging codebases or breaking down multi-step technical challenges.
Strengths & limitations
Strengths
- +Efficient MoE architecture
- +Strong coding and reasoning performance
- +Good multilingual coverage
- +High-quality instruction adherence
Limitations
- –Text-only modality
- –No native vision or audio support
- –Can produce hallucinations on complex facts
Cost calculator
Estimate what Mixtral 8x22B Instruct would cost for your usage.
Based on Mixtral 8x22B Instruct's $2.00/1M input · $6.00/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "mistralai/mixtral-8x22b-instruct",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: mistralai/mixtral-8x22b-instruct
Editor's verdict
Mixtral 8x22B Instruct is Mistral's open-weight language models with a 66K-token context window.
On independent testing it scores 9.8 on the Artificial Analysis Intelligence Index.
At $6.00 per 1M output tokens, it is premium-priced for its class.
As an open-weight model you can self-host it or call it through a hosted API.
Best suited to efficient moe architecture and strong coding and reasoning performance.
Frequently asked questions
The model provides a context window of 65536 tokens.
User reviews
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