Mixtral 8x22B

by Mistral AI

KYI Score

Mistral's largest open model with 141B total parameters, offering exceptional performance across all tasks with efficient sparse activation.

LLMApache 2.0FREE141B (8x22B MoE)

Official Website Hugging Face

Quick Facts

Model Size: 141B (8x22B MoE)
Context Length: 64K tokens
Release Date: Apr 2024
License: Apache 2.0
Provider: Mistral AI
KYI Score: 9/10

Best For

→Complex reasoning

→Long document analysis

→Code generation

→Research

Performance Metrics

Speed

7/10

Quality

9/10

Cost Efficiency

8/10

Specifications

Parameters: 141B (8x22B MoE)
Context Length: 64K tokens
License: Apache 2.0
Pricing: free
Release Date: April 17, 2024
Category: llm

Key Features

Large MoE architectureExtended contextMultilingualAdvanced reasoning

Pros & Cons

Pros

✓Top-tier performance
✓Efficient for size
✓Long context
✓Apache 2.0

Cons

!Requires significant resources
!Complex deployment

Ideal Use Cases

Complex reasoning

Long document analysis

Code generation

Research

Mixtral 8x22B FAQ

What is Mixtral 8x22B best used for?

Mixtral 8x22B excels at Complex reasoning, Long document analysis, Code generation. Top-tier performance, making it ideal for production applications requiring llm capabilities.

How does Mixtral 8x22B compare to other models?

Mixtral 8x22B has a KYI score of 9/10, with 141B (8x22B MoE) parameters. It offers top-tier performance and efficient for size. Check our comparison pages for detailed benchmarks.

What are the system requirements for Mixtral 8x22B?

Mixtral 8x22B with 141B (8x22B MoE) requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 64K tokens.

Is Mixtral 8x22B free to use?

Yes, Mixtral 8x22B is free and licensed under Apache 2.0. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.

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