Mistral AI Mixtral 8x22B Instruct

Mixtral 8x22B Instruct by Mistral AI excels in the Coding category, where it ranks #140 with a composite score of 63/100. Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.

Mixtral 8x22B Instruct is priced at $2.00 per million input tokens and $6.00 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.

In the Coding category, Mixtral 8x22B Instruct holds rank #140 out of 341 models tracked. Its quality rank is #140 and adoption rank is #140. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.

Mixtral 8x22B Instruct has been evaluated across 6 different signals. Its strongest areas include Capabilities (50/100), Benchmarks (71/100), Pricing (94/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 63/100 reflects a weighted combination of all tracked signals.

Mixtral 8x22B Instruct is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Mistral AI's website for current free tier availability and promotional offers.

Mixtral 8x22B Instruct supports a 66K token context window (65,536 tokens total). That translates to roughly 49,152 words in a single prompt. Plenty for most coding tasks, medium-length documents, and extended conversations.

Mixtral 8x22B Instruct supports function/tool calling, structured JSON output, streaming responses. Function calling lets you integrate it with external APIs and tools programmatically. These capabilities determine which workflows and integrations the model can handle natively.

Yes, Mixtral 8x22B Instruct is an open-source model. You can download the weights, run it locally, fine-tune it for your use case, or deploy it on your own infrastructure. Many cloud providers also offer hosted versions if you prefer not to manage the infrastructure yourself. Self-hosting gives you full control over data privacy and eliminates per-token API costs.

Mixtral 8x22B Instruct was developed by Mistral AI. It was released on April 17, 2024. You can access it through Mistral AI's API or download the model weights directly. Check our provider page for all models from Mistral AI and how they compare against each other.

Pick Mixtral 8x22B Instruct when you need a solid balance of cost and capability for everyday development tasks, content generation, and standard API integrations. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.

You can access Mixtral 8x22B Instruct through Mistral AI's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.