Mistral
Mistral
EfficientDEPRECATED

Mistral 7B v0.1

Legacy

Original Mistral 7B from late 2023. Deprecated; v0.3 is the recommended drop-in replacement.

Mistral 7B v0.1 is a efficient AI model from Mistral. It costs $0.060 per million input tokens and $0.060 per million output tokens (blended $0.060/M), with a 8,000-token context window.

INPUT
$0.060/M
per million input tokens
OUTPUT
$0.060/M
per million output tokens
BLENDED 70/30
$0.060/M
unchanged since 3 May
CONTEXT
8,000
tokens
What it is good at
  • Open weights
  • Historic 7B baseline
Typical use cases
  • Legacy v0.1 fine-tunes

Benchmarks

vs. best public score
Scores inherited from Mistral 7B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
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 v0.1 cost?

Mistral 7B v0.1 costs $0.060 per million input tokens and $0.060 per million output tokens, for a blended reference rate of $0.060 per million tokens.

What is Mistral 7B v0.1's context window?

Mistral 7B v0.1 supports up to 8,000 tokens of context in a single request.

What is Mistral 7B v0.1 best for?

Mistral 7B v0.1 is well suited to Open weights, Historic 7B baseline and Legacy v0.1 fine-tunes.

Who makes Mistral 7B v0.1?

Mistral 7B v0.1 is developed and served by Mistral. It was released in Sep 2023.

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