Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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Mistral
MistralEfficientDEPRECATED

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 8K-token context window.

Released Sep 2023Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Compare with another model →Estimate monthly cost →
INPUT
$0.060/M
per million input tokens
OUTPUT
$0.060/M
per million output tokens
BLENDED 70/30
$0.060/M
default reference rate · how it's calculated →
CONTEXT
8K
8,000 tokens
What it's 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.
HumanEval30%
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 8K tokens of context (8,000 tokens).

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.