Mistral Small (Sep '24)

A 22-billion parameter model for enterprises, optimized to handle tasks such as translation, summarization, and sentiment analysis. Compared with previous versions, it has significant improvements in human alignment, reasoning ability, and code generation.

Intelligence(Relatively Weak)

Speed(Relatively Slow)

Input Supported Modalities

Is Reasoning Model

32,768

Context Window

32,768

Maximum Output Tokens

Knowledge Cutoff

Go Compare

Pricing

￥1.44 /M tokens

Input

￥4.32 /M tokens

Output

￥2.16 /M tokens

Blended Price

Quick Simple Comparison

Input

Output

Devstral

￥0.1

Devstral Medium

￥0.4

Devstral Small (May '25)

￥0.1

Basic Parameters

Mistral Small (Sep '24)Technical Parameters

Parameter Count

22,000.0M

Context Length

32.77k tokens

Training Data Cutoff

Open Source Category

Open Weights (License Required for Commercial Use)

Multimodal Support

Text Only

Throughput

Release Date

2024-09-17

Response Speed

94.7,148 tokens/s

Benchmark Scores

Below is the performance of Mistral Small (Sep '24) in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.

Intelligence Index

Large Language Model Intelligence Level

27.43

Large Language Model Intelligence Level

Coding Index

Indicator of AI model performance on coding tasks

14.85

Indicator of AI model performance on coding tasks

Math Index

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

31.3

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

MMLU Pro

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

52.9

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

GPQA

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions

38.1

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions

HLE

The model's comprehensive average score on the Hugging Face Open LLM Leaderboard

4.3

The model's comprehensive average score on the Hugging Face Open LLM Leaderboard

LiveCodeBench

Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems

14.1

Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems

SciCode

The model's capability in code generation for scientific computing or specific scientific domains

15.6

The model's capability in code generation for scientific computing or specific scientific domains

HumanEval

Score achieved by the AI model on the specific HumanEval benchmark test set

80.6

Score achieved by the AI model on the specific HumanEval benchmark test set

Math 500 Score

Score on the first 500 larger, more well-known mathematical benchmark tests

56.3

Score on the first 500 larger, more well-known mathematical benchmark tests

AIME Score

An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)

6.3

An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)

Output tokens/million

Output tokens/million

Output tokens/million

Output tokens/million

Output tokens/million

131k

Context Length

Gemini 2.0 Flash Lite (Preview)

Output tokens/million

Output tokens/million

33k

Context Length

Qwen2.5 Coder Instruct 32B

Output tokens/million

131k

Context Length

Empowering the Future, Your AI Solution Knowledge Base

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