Mistral: Mixtral 8x22B Instruct
Mistral AI • LLM
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,...
Specifications
Context Window
66K tokens
Input Price/1M
$2.00
Output Price/1M
$6.00
Parameters
—
Benchmarks
Mistral: Mixtral 8x22B Instruct results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 19.0 | 100.0 | — |
| LiveCodeBench | 14.8 | 100.0 | Artificial Analysis official API |
Knowledge
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU-Pro | 54.0 | 100.0 | — |
Math
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 54.5 | 100.0 | Artificial Analysis official API |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 9.8 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 53.7 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 33.2 | 100.0 | Artificial Analysis official API |
| HLE | 4.0 | 100.0 | — |
Information
- Tool Calling
- ✅ Supported
- Vision
- ❌ Not supported
- Audio
- ❌ Not supported
Full Analysis: Mistral: Mixtral 8x22B Instruct
What is Mistral: Mixtral 8x22B Instruct?
Mistral: Mixtral 8x22B Instruct is an AI model developed by Mistral AI, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 66K tokens, it is suitable for processing medium-sized documents like articles, reports, and code sections.
Pricing & Costs in 2026
Mistral: Mixtral 8x22B Instruct is usage-based, priced at $2/1M input tokens and $6/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
Mistral: Mixtral 8x22B Instruct was evaluated on 8 different benchmarks, covering categories like Coding, Knowledge, Math, overall, Reasoning. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Mistral: Mixtral 8x22B Instruct is suitable for a wide range of AI applications: automation with tool calling (API integration, databases, external systems), text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Mistral: Mixtral 8x22B Instruct competes directly with similarly capable models. Mistral AI competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Mistral: Mixtral 8x22B Instruct?
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,...
How much does Mistral: Mixtral 8x22B Instruct cost?
Mistral: Mixtral 8x22B Instruct costs $2/1M input tokens and $6/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Mistral: Mixtral 8x22B Instruct compare with other models?
In available benchmarks, Mistral: Mixtral 8x22B Instruct scored: SciCode: 19/100, LiveCodeBench: 14.8/100, MMLU-Pro: 54/100. See the full table above for a detailed comparison.
Is Mistral: Mixtral 8x22B Instruct open source?
Yes, Mistral: Mixtral 8x22B Instruct is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
What is Mistral: Mixtral 8x22B Instruct best for?
Mistral: Mixtral 8x22B Instruct excels at general-purpose language tasks. It supports tool calling for API integrations and automation.
Last updated: May 24, 2026 • View methodology →