Mistral Small 3

Mistral Small 3 can compete with larger models (such as Llama 3.3 70B or Qwen 32B) in performance and is an excellent open - source alternative to closed - source models (such as GPT4o - mini). On the same hardware, Mistral Small 3 performs as well as Llama 3.3 70B instruct but is more than three times faster.

Intelligence(Relatively Weak)

Speed(Slow)

Input Supported Modalities

Yes

Is Reasoning Model

32,000

Context Window

32,000

Maximum Output Tokens

2023-10-01

Knowledge Cutoff

Go Compare

Pricing

- /M tokens

Input

- /M tokens

Output

￥1.08 /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 3Technical Parameters

Parameter Count

23,600.0M

Context Length

32.00k tokens

Training Data Cutoff

2023-10-01

Open Source Category

Open Weights (Permissive License)

Multimodal Support

Text, Image

Throughput

Release Date

2025-01-30

Response Speed

49.059,246 tokens/s

Benchmark Scores

Below is the performance of Mistral Small 3 in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.

Intelligence Index

Large Language Model Intelligence Level

35.28

Large Language Model Intelligence Level

Coding Index

Indicator of AI model performance on coding tasks

24.4

Indicator of AI model performance on coding tasks

Math Index

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

39.77

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

65.2

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

46.2

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

4.1

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

25.2

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

23.6

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

85.4

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

71.5

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)

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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