Claude Fable 5$22.000/MClaude Opus 5$11.000/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-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/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/MClaude Fable 5$22.000/MClaude Opus 5$11.000/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-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/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/M
DeepInfra
DeepInfra
Efficient

Mistral 7B (DI)

Nano

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

Mistral 7B (DI) is a efficient AI model from DeepInfra. It costs $0.070 per million input tokens and $0.070 per million output tokens (blended $0.070/M), with a 32,000-token context window.

Profile inherited from upstream Mistral 7B — this is a hosted variant of the same open-weights model.

INPUT
$0.070/M
per million input tokens
OUTPUT
$0.070/M
per million output tokens
BLENDED 70/30
$0.070/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
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 (DI) cost?

Mistral 7B (DI) costs $0.070 per million input tokens and $0.070 per million output tokens, for a blended reference rate of $0.070 per million tokens.

What is Mistral 7B (DI)'s context window?

Mistral 7B (DI) supports up to 32,000 tokens of context in a single request.

What is Mistral 7B (DI) best for?

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

Who makes Mistral 7B (DI)?

Mistral 7B (DI) is developed and served by DeepInfra. It was released in May 2024.

Terms used on this page