Mistral 7B (Anyscale)
Nano
The 7B Mistral that put open-weights chat models on the map. v0.3 added function calling and an extended vocabulary.
Mistral 7B (Anyscale) is a efficient AI model from Anyscale. It costs $0.150 per million input tokens and $0.150 per million output tokens (blended $0.150/M), with a 32K-token context window.
Profile inherited from upstream Mistral 7B ↗ — this is a hosted variant of the same open-weights model.
INPUT
$0.150/M
per million input tokens
OUTPUT
$0.150/M
per million output 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
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.
Frequently asked questions
How much does Mistral 7B (Anyscale) cost?
Mistral 7B (Anyscale) costs $0.150 per million input tokens and $0.150 per million output tokens, for a blended reference rate of $0.150 per million tokens.
What is Mistral 7B (Anyscale)'s context window?
Mistral 7B (Anyscale) supports up to 32K tokens of context (32,000 tokens).
What is Mistral 7B (Anyscale) best for?
Mistral 7B (Anyscale) is well suited to Open weights (Apache 2.0), Single-GPU and Function calling.
Who makes Mistral 7B (Anyscale)?
Mistral 7B (Anyscale) is developed and served by Anyscale. It was released in May 2024.
