Mistral: Mixtral 8x22B Instruct

Public pricingIntelligence 70/100Medium memory도구 활용

Mistral: Mixtral 8x22B Instruct은 코딩, 디버깅, 기술 작업에 맞춘 텍스트 모델입니다. 강력한 코딩 성능、낮은 지연과 효율적 추론, 66K tokens의 컨텍스트, 균형형 비용 특성을 결합해 coding, debugging, and technical writing에서 안정적인 작업을 돕습니다. 특히 지연, 비용, 처리량가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$2.00/1M

Output

$6.00/1M

Cached

$0.20/1M

Batch

$1.00/1M

Calculate your Mixtral 8x22B Instruct bill.

Set your workload — see cost at your exact volume.

What would Mixtral 8x22B Instruct cost you?

Adjust the workload to see your monthly bill.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

Technical specifications

Mixtral 8x22B Instruct at a glance.

Memory

65,536

tokens

Max reply

4,096

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

mistral

Released

Apr 2024

Training cutoff

Jan 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

aa_intelligence_index
10
bbh
44.11
humaneval
45.1
ifeval
71.84
mmlu
77.8
mmlu_pro
38.7

What it can do

Capabilities & limits.

Understands images
Deep step-by-step thinking
Uses tools / calls functions
Strict JSON output
Streams replies
Fine-tunable on your data

When to pick Mixtral 8x22B Instruct

Agentic workflows that call tools or APIs.

When to look elsewhere

Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Mixtral 8x22B Instruct — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Mixtral 8x22B Instruct costs roughly $390 per month. Input is $2.00 /1M tokens and output is $6.00 /1M tokens.

Mixtral 8x22B Instruct has a 65,536-token context window (medium memory — a long report or a codebase file). That means you can fit about 12,288 words of input and history in a single call.

Beyond text generation, Mixtral 8x22B Instruct supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.

Mixtral 8x22B Instruct was released in April 2024, with training data cut off around January 2024.

Models in a similar class include Pixtral Large 2411, Mixtral 8x7B Instruct, Mistral Large 3 2512. The "Similar models" section below this FAQ links into each.

Still unsure?

Compare Mixtral 8x22B Instruct against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

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