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 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 32K-token context window.

Released May 2024Modalities textOfficial model page ↗Provider pricing ↗API docs ↗Compare with another model →Estimate monthly cost →
INPUT
$0.080/M
per million input tokens
OUTPUT
$0.080/M
per million output tokens
BLENDED 70/30
$0.080/M
default reference rate · how it's calculated →
CONTEXT
32K
32,000 tokens
What it's 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.
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 v0.3 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 32K tokens of context (32,000 tokens).

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.