MistralReleased on Sep 17, 2024

Mistral Small: Benchmarks, Pricing & Context Window

Mistral Small is a language model from Mistral, released in September 2024.

An enterprise-grade 22B parameter model optimized for tasks like translation, summarization, and sentiment analysis. Offers significant improvements in human alignment, reasoning capabilities, and code generation compared to previous

Input
Text
Output
Text

Mistral Small pricing

Providers

Mistral Small starts at $0.200 per million input tokens and $0.600 per million output tokens via Mistral AI.

ProviderInput $/MOutput $/MMax InputMax OutputLatency p95 sThroughput P95QuantInputOutput
Mistral AI logoMistral AI
$0.200$0.60032.8K32.8K
0.50
0 c/s

Mistral Small API

API access coming soon

Mistral Small will be available through our gateway shortly.

Mistral Small examples

Recent arena outputs from Mistral Small, picked from the highest-ranked matchups.

Mistral Small license

Mistral Small is released under the Mistral Research License license, which restricts commercial use, has 22.0B parameters.

License
Mistral Research License
Non-commercial
Parameters
22.0B

FAQ

Common questions about Mistral Small.

When was Mistral Small released?

Mistral Small was released on September 17, 2024 by Mistral. This is the official Mistral Small release date tracked on LLM Stats.

Is Mistral Small available via API?

Yes, Mistral Small is available via API. See the official documentation for authentication and endpoint details. It is served by 1 provider tracked on LLM Stats.

How big is Mistral Small?

Mistral Small has 22 billion parameters.

Who created Mistral Small?

Mistral Small was created by Mistral.

What is the license for Mistral Small?

Mistral Small is released under the Mistral Research License license.

Where can I use Mistral Small?

Mistral Small is available through 1 provider including Mistral AI.

Where is the Mistral Small paper or technical report?

Mistral Small has a paper or technical report available at https://mistral.ai/news/september-24-release/. Use that source for architecture, training, release and evaluation details.