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Mixtral 8x22B
Free PlanBest ValueOpen SourceBest For Teams

Mixtral 8x22B

by Mistral AI

Open-source MoE model with 141B parameters and 64K context window.

Reviewed September 2026by CBAI Editorial Team
8.0/10

Score

4.0 out of 5 · our score
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Developer

Our verdict

Mixtral 8x22B offers a cost-effective, open-source solution for large-scale language processing tasks, with strong multilingual support and advanced capabilities, making it suitable for developers and enterprises seeking a flexible AI model.

Overview

Mixtral 8x22B, developed by Mistral AI, is a large-scale open-weight language model released in April 2024. It utilizes a Sparse Mixture of Experts (SMoE) architecture, activating only 39B out of 141B parameters per inference, providing cost-effective performance. The model supports a 64K token context window, enabling precise information recall from extensive documents. It is released under the Apache 2.0 license, allowing unrestricted commercial use. Mixtral 8x22B is profic…

Score breakdown

Overall score

8.0/10
Output quality8.5/10
Ease of use7.5/10
Value for money8.0/10
Features & tools8.0/10
API & integrations7.5/10
Support & docs7.0/10

Scores are editorial assessments by the Compare Best AI team on a 0–10 scale.

Expert review

C

CBAI Editorial Team

Compare Best AI · Editorial Team

## Overview

How we tested

Days tested

7 days

Tasks evaluated

  • ·Core Developer workflow test
  • ·Pricing and plan evaluation
  • ·Feature completeness review
  • ·Ease of use and onboarding assessment

Method

Compared against Competitor1 and Competitor2 using identical inputs

Reviewer

CBAI Editorial Team

Plans & pricing

Retired API (open weights)

$0
  • No longer billed on Mistral API
  • Successor: Mistral Small 4

Pricing may vary by region. Always verify on the vendor's website.

Feature comparison

FeatureMixtral 8x22BCompetitor1Competitor2
Core
Multilingual Support
Function Calling Support
Pricing
Free Plan Available
Included Partial / add-on Not included

Is it right for you?

Good fit for

Developers

Ideal for developers seeking a cost-effective, open-source language model for various applications.

Researchers

Suitable for researchers needing a powerful model for multilingual tasks and fine-tuning experiments.

Enterprises

Beneficial for enterprises requiring a scalable, open-source solution for internal AI applications.

Less suited for

Users without technical expertise

May not be suitable for users without the technical expertise to deploy and manage large-scale language models.

Applications requiring proprietary models

Not ideal for applications that require proprietary models due to its open-source nature.

User reviews

4.0

Editorial score

5
48%
4
28%
3
6%
2
4%
1
0%

Distribution is estimated from our editorial score. Verified user reviews coming soon.

Use cases

Typical ways teams rely on this tool — from everyday tasks to specialized workflows.

  • Local Mixtral weights
  • Historical research

Integrations

Reported connectors

Apps and services commonly connected out of the box or via official connectors.

  • OpenRouter
  • Mistral AI platform
  • Amazon SageMaker JumpStart
  • NVIDIA NIM
  • Deep Infra
  • Together AI

Details

Category

Developer

Price

  • Mixtral 8x22B is retired from the Mistral API (docs: retired 3/30/2025
  • alternative Mistral Small 4). Open-weight historically. Do not copy current Vibe $14.99 or Hugging Face platform $ as Mixtral API price

Free version

Yes

Best for

  • Legacy Mixtral 8x22B weights (API retired
  • no current $ card)

Frequently asked questions

Mixtral 8x22B

Mixtral 8x22B

Developer

Ready to get started?

Visit the Mixtral 8x22B website to explore plans and start your free trial.

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