FlagshipOpen SourceMistral

Mixtral 8x22B

Mixtral 8x22B is Mistral's flagship open-source mixture-of-experts model with 64K context window and tool calling support.

Context 64K
Tier Flagship
Tools Supported
License Open Source
Input from
$2.00 / 1M tokens
across 1 provider
Compare PricesModel Page →API Docs

API Pricing

ProviderInput / 1MOutput / 1MUpdated
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OpenRouter
$2.00$6.004/14/2026

Prices updated daily. Last check: 4/14/2026

Model Details

General

Creator
Mistral
Family
Mixtral
Tier
Flagship
Context Window
64K
Modalities
Text

Capabilities

Tool Calling
Yes
Open Source
Yes
Subtypes
Chat Completion

Strengths & Limitations

  • Open-source model weights available for self-hosting and fine-tuning
  • 64,000 token context window for processing long documents
  • Tool calling support enables agentic and workflow automation use cases
  • Mixture-of-experts architecture provides efficient inference
  • Flagship-tier performance from Mistral's model family
  • Text generation optimized for chat completion tasks
  • No vendor lock-in due to open-source licensing
  • Text-only support with no vision or multimodal capabilities
  • Smaller context window compared to some proprietary competitors
  • Self-hosting requires significant computational resources
  • Limited to chat completion format for structured interactions

Key Features

•64K token context window
•Tool calling with function execution
•Open-source model weights
•Mixture-of-experts architecture
•Chat completion API format
•Streaming response support
•Fine-tuning capability
•Self-hostable deployment

About Mixtral 8x22B

Mixtral 8x22B is Mistral's flagship model in the Mixtral family, representing the company's most capable open-source offering. As a mixture-of-experts architecture, it activates only a subset of its parameters for each token, enabling efficient inference while maintaining high performance across diverse tasks. The model supports a 64,000 token context window and includes tool calling capabilities, making it suitable for complex reasoning and agentic workflows. As a text-only model, it focuses on language understanding, generation, and structured output tasks. The open-source nature allows organizations to deploy it on their own infrastructure or fine-tune for specific use cases. Mixtral 8x22B targets enterprises and developers who need flagship-tier performance while maintaining control over their model deployment. It competes with other large open-source models and provides an alternative to proprietary solutions for organizations with specific data governance or customization requirements.

Common Use Cases

Mixtral 8x22B is designed for organizations requiring flagship-level performance with deployment flexibility. Its tool calling capabilities make it suitable for building AI agents, automated workflows, and complex reasoning tasks that require function execution. The 64K context window enables processing of lengthy documents, research papers, and multi-turn conversations. Organizations use it for custom chatbots, code generation, document analysis, and automated decision-making systems where data privacy, model customization, or cost control through self-hosting are priorities. The open-source nature makes it particularly valuable for companies that need to fine-tune models for domain-specific tasks or maintain full control over their AI infrastructure.

Frequently Asked Questions

How much does Mixtral 8x22B cost per million tokens?

Mixtral 8x22B pricing varies significantly by provider and deployment method. Since it's open-source, you can self-host to avoid per-token charges entirely, or use hosted API services with different rate structures. Check the pricing table above for current rates across all providers.

What is Mixtral 8x22B best used for?

Mixtral 8x22B excels at complex reasoning tasks, tool calling workflows, and long-context document processing. Its open-source nature makes it ideal for organizations that need to fine-tune models, maintain data privacy, or deploy on their own infrastructure while still accessing flagship-tier performance.

Can I fine-tune Mixtral 8x22B for my specific use case?

Yes, Mixtral 8x22B is open-source, so you have full access to model weights for fine-tuning and customization. This allows you to adapt the model for domain-specific tasks, adjust its behavior, or optimize it for particular types of outputs while maintaining the base model's 64K context window and tool calling capabilities.