Mistral: Mistral 7B Instruct v0.1

Public pricingIntelligence 74/100Small memoryUso de herramientas

Mistral: Mistral 7B Instruct v0.1 es un modelo texto pensado para chat general, análisis y uso en producción. Combina un rendimiento general estable, un contexto de 3K tokens y un perfil bajo costo para trabajar con fiabilidad en general chat, analysis, and production workloads.

Input

$0.11/1M

Output

$0.19/1M

Cached

$0.05/1M

Batch

$0.10/1M

Calculate your Mistral 7B Instruct v0.1 bill.

Set your workload — see cost at your exact volume.

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

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

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.

  • bbh

    7.65

  • ifeval

    44.87

  • mmlu

    60.1

  • 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.

Still unsure?

Compare Mistral 7B Instruct v0.1 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.

Open the comparison wizard