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Mixtral 8x22B

Model family: Mistral
The MoE design gives Mixtral strong step-by-step analysis, multilingual coverage, and robust coding while keeping serving cost under control. It sustains long contexts, follows instructions closely, and returns structured JSON for automation. With function calling it can search, run tools, or query services in loop, and it scales well in production since only a few experts activate per token.
Text Gen 7
Released: April 17, 2024

Overview

Mixtral 8x22B is a sparse mixture-of-experts language model that routes tokens to a subset of experts for high quality reasoning at practical latency.

Pricing

Compare Mixtral 8x22B with other models listed in the same vendor pricing tiers and context lengths.

Standard

Model Input Cached input Output Unit
Codestral 25.01 Mistral AI
$0.3 - $0.9 per 1M tokens
Devstral 2 Mistral AI
$0.4 - $2 per 1M tokens
Magistral Medium Mistral AI
$2 - $5 per 1M tokens
Magistral Small Mistral AI
$0.5 - $1.5 per 1M tokens
Ministral 3 14B Mistral AI
$0.2 - $0.2 per 1M tokens
Ministral 3 3B Mistral AI
$0.1 - $0.1 per 1M tokens
Ministral 3 8B Mistral AI
$0.15 - $0.15 per 1M tokens
Mistral Large 3 Mistral AI
$0.5 - $1.5 per 1M tokens
Mistral Medium 3.5 Mistral AI
$1.5 - $7.5 per 1M tokens
Mistral NeMo Mistral AI
$0.15 - $0.15 per 1M tokens
Mistral Small 4 Mistral AI
$0.1 - $0.3 per 1M tokens
Mixtral 8x22B This model Mistral AI
$2 - $6 per 1M tokens
$0.1 - $0.4 per 1M tokens

About Mistral AI

Mistral AI is a company that specializes in artificial intelligence and machine learning solutions.

Industry: Artificial Intelligence
Company Size: 316
Location: Paris, FR
Website: mistral.ai
View Company Profile

Benchmark scores

How Mixtral 8x22B ranks on tracked AI benchmarks. Click any benchmark to see its full leaderboard.

MATH
Math
28.4%
MMLU
Knowledge
70.6%
Compare across all benchmarks โ†’

Tools using Mixtral 8x22B

Last updated: April 6, 2026
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