Mistral Small

Text input Text output
Author's Description

With 22 billion parameters, Mistral Small v24.09 offers a convenient mid-point between (Mistral NeMo 12B)[/mistralai/mistral-nemo] and (Mistral Large 2)[/mistralai/mistral-large], providing a cost-effective solution that can be deployed across various platforms and environments. It has better reasoning, exhibits more capabilities, can produce and reason about code, and is multiligual, supporting English, French, German, Italian, and Spanish.

Key Specifications
Cost
$$
Context
32K
Parameters
22B (Rumoured)
Released
Jan 09, 2024
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Tools Structured Outputs Tool Choice Response Format Stop Seed Top P Max Tokens Frequency Penalty Temperature Presence Penalty
Features

This model supports the following features:

Tools Response Format Structured Outputs
Performance Summary

Mistral Small, a 22-billion parameter model from mistralai, offers a compelling mid-point solution with a 32768 context length. Launched on January 9, 2024, it performs among the fastest models, typically ranking in the top tier for speed (77th percentile). It also offers competitive pricing, generally providing cost-effective solutions (69th percentile). Demonstrating exceptional reliability, Mistral Small boasts a 99% success rate across benchmarks, indicating minimal technical failures. In terms of specific performance, Mistral Small excels in hallucination prevention, achieving perfect 100% accuracy, making it the most accurate model at its price point and speed. It also shows strong performance in Email Classification (96.0% accuracy). However, its performance in more complex cognitive tasks is moderate to low. General Knowledge (91.5% accuracy) and Ethics (86.0% accuracy) are in the lower percentiles. Instruction Following (52.0% accuracy), Reasoning (30.0% accuracy), and Coding (41.0% accuracy) represent notable weaknesses, with scores placing it in the lower percentiles for these categories. While it offers multilingual support and improved reasoning capabilities, its benchmark results suggest these are areas for further development.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.2
Completion $0.6

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Mistral
Mistral | mistralai/mistral-small 32K $0.2 / 1M tokens $0.6 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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