Mistral: Mixtral 8x7B Instruct

Public pricingIntelligence 76/100Medium memory工具调用

Mistral: Mixtral 8x7B Instruct 是一款文本模型，适合通用对话、分析与生产场景。它结合了稳定的通用表现、33K tokens上下文和均衡成本定位，可在general chat, analysis, and production workloads中提供可靠表现。它适合重视质量、速度与成本的团队，能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

Input

$0.54/1M

Output

$0.54/1M

Cached

$0.14/1M

Batch

$0.27/1M

Calculate your Mixtral 8x7B Instruct bill.

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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.

Alternatives

Similar models to compare.

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.

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