mistral-small-2503

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About this model

Mistral Small 3.1 (25.03) is a versatile model designed for various tasks such as programming, mathematical reasoning, document understanding, and dialogue. In addition to its strong multimodal capabilities, Mistral Small 3.1 (25.03) retains the robust text performance of Mistral Small 3. It excels in knowledge benchmarks like MMLU and MMLU-Pro, graduate-level question answering (GPQA), reading comprehension (TriviaQA), and math and coding tasks (MATH, HumanEval). Mistral Small 3.1 (25.03) often matches or outperforms much larger models, including 70B parameter Llama models, as well as closed-source models like GPT4o mini and Claude 3.5 Haiku.

With our improved training methodologies, we observe strong vision capabilities in the model. Not only does Mistral Small 3.1 (25.03) outperforms light-weight models like GPT4o mini, it also rivals larger models like qwen-vl-2 on visual knowledge and reasoning tasks. Moreover, with our innovations in the past few months, Mistral Small 3.1 (25.03) demonstrates performance on par with Pixtral Large we released last year across the board.

Key model capabilities

Mistral Small 3.1 (25.03) is a great versatile model for tasks such as:

• Programming
• Math reasoning
• Dialogue
• Long document understanding
• Visual understanding
• Summarization
• Low-latency applications