Mistral
Mistral
Efficient

Mistral 7B v0.3

Open

The 7B Mistral that put open-weights chat models on the map. v0.3 added function calling and an extended vocabulary.

Mistral 7B v0.3 is a efficient AI model from Mistral. It costs $0.080 per million input tokens and $0.080 per million output tokens (blended $0.080/M), with a 32,000-token context window.

INPUT
$0.080/M
per million input tokens
OUTPUT
$0.080/M
per million output tokens
BLENDED 70/30
$0.080/M
unchanged since 3 May
CONTEXT
32,000
tokens
What it is good at
  • Open weights (Apache 2.0)
  • Single-GPU
  • Function calling
  • Wide ecosystem
Typical use cases
  • Self-hosted small chat
  • Fine-tune base
  • Edge deployments

Benchmarks

vs. best public score
MMLU62%
Multitask academic knowledge across 57 subjects.
Python function synthesis from docstrings.
LMArena Elo1072 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Mistral 7B v0.3 cost?

Mistral 7B v0.3 costs $0.080 per million input tokens and $0.080 per million output tokens, for a blended reference rate of $0.080 per million tokens.

What is Mistral 7B v0.3's context window?

Mistral 7B v0.3 supports up to 32,000 tokens of context in a single request.

What is Mistral 7B v0.3 best for?

Mistral 7B v0.3 is well suited to Open weights (Apache 2.0), Single-GPU and Function calling.

Who makes Mistral 7B v0.3?

Mistral 7B v0.3 is developed and served by Mistral. It was released in May 2024.

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