Mistral Small 3
High performance in a 24b open-source model
Mistral Small 3 launched on February 8, 2025 with 446 votes, #63 of 5,999 launches that month and more than 99% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Mistral Small 3 is a 24-billion parameter open-source language model available under the Apache 2.0 license. It achieves 81% accuracy on the MMLU benchmark and generates 150 tokens per second. The model comes in both pre-trained and instruction-tuned versions and uses only real training data rather than synthetic data, making it suitable as a foundation for reasoning tasks and applications. It is designed for developers building with APIs and AI tools.
written from the facts on this page · September 2026
From the sources
Mistral Small 3 is the most efficient and versatile model of Mistral. Pre-trained and instructed version, Apache 2.0, 24B, 81% MMLU, 150 token/s. No synthetic data so great base for anything reasoning.
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
Today we’re introducing Mistral Small 3, a latency-optimized 24B-parameter model released under the Apache 2.0 license. Mistral Small 3 is competitive with larger models such as Llama 3.3 70B or Qwen 32B, and is an excellent open replacement for opaque proprietary models like GPT4o-mini. Mistral Small 3 is on par with Llama 3.3 70B instruct, while being more than 3x faster on the same hardware. Mistral Small 3 is a pre-trained and instructed model catered to the ‘80%’ of generative AI tasks—those that require robust language and instruction following performance, with very low latency. We designed this new model to saturate performance at a size suitable for local deployment. Particularly,…from mistral.ai
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