Mistral: Mistral 7B Instruct v0.1

Public pricingIntelligence 74/100Small memoryツール利用

Mistral: Mistral 7B Instruct v0.1 は テキスト モデルで、汎用チャット、分析、業務利用 に向いています。安定した汎用性能、3K tokensのコンテキスト、低コストの特性を組み合わせ、general chat, analysis, and production workloads で安定した動作を支えます。品質・速度・コスト が重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$0.11/1M

Output

$0.19/1M

Cached

$0.05/1M

Batch

$0.10/1M

Calculate your Mistral 7B Instruct v0.1 bill.

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What would Mistral 7B Instruct v0.1 cost you?

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Technical specifications

Mistral 7B Instruct v0.1 at a glance.

Memory

2,824

tokens

Max reply

4,096

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

mistral

Released

Sep 2023

Training cutoff

Jul 2023

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    60.1

  • ifeval

    44.87

  • bbh

    7.65

  • mmlu_pro

    15.72

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 Mistral 7B Instruct v0.1

  • 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.
  • Your inputs routinely exceed short documents.

Alternatives

Similar models to compare.

FAQ

Mistral 7B Instruct v0.1 — 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, Mistral 7B Instruct v0.1 costs roughly $16 per month. Input is $0.11 /1M tokens and output is $0.19 /1M tokens.
Mistral 7B Instruct v0.1 has a 2,824-token context window (small memory — a few emails or a short document). That means you can fit about 530 words of input and history in a single call.
Beyond text generation, Mistral 7B Instruct v0.1 supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Mistral 7B Instruct v0.1 was released in September 2023, with training data cut off around July 2023.
Models in a similar class include Devstral Small 1.1, Ministral 3 3B 2512, Mistral Small Creative. The "Similar models" section below this FAQ links into each.

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