Mistral: Mixtral 8x7B Instruct

Public pricingIntelligence 76/100Medium memory도구 활용

Mistral: Mixtral 8x7B Instruct은 일반 대화, 분석, 운영 환경에 맞춘 텍스트 모델입니다. 안정적인 범용 성능, 33K tokens의 컨텍스트, 균형형 비용 특성을 결합해 general chat, analysis, and production workloads에서 안정적인 작업을 돕습니다. 특히 품질, 속도, 비용가 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

$0.54/1M

Output

$0.54/1M

Cached

$0.14/1M

Batch

$0.27/1M

Calculate your Mixtral 8x7B Instruct bill.

Set your workload — see cost at your exact volume.

What would Mixtral 8x7B Instruct cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Mixtral 8x7B Instruct at a glance.

Memory

32,768

tokens

Max reply

16,384

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

mistral

Released

Dec 2023

Training cutoff

Oct 2023

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    70.6
  • aa_intelligence_index

    8
  • ifeval

    55.99
  • bbh

    29.74
  • mmlu_pro

    29.91

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 8x7B Instruct

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

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

FAQ

Mixtral 8x7B 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 8x7B Instruct costs roughly $62 per month. Input is $0.54 /1M tokens and output is $0.54 /1M tokens.
Mixtral 8x7B Instruct has a 32,768-token context window (medium memory — a long report or a codebase file). That means you can fit about 6,144 words of input and history in a single call.
Beyond text generation, Mixtral 8x7B Instruct supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Mixtral 8x7B Instruct was released in December 2023, with training data cut off around October 2023.
Models in a similar class include Mistral Large 3 2512, Devstral 2 2512, Devstral Medium. The "Similar models" section below this FAQ links into each.

Still unsure?

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