Mistral Small 3

Mistral Small 3 – Latency-Optimized 24B Local-Deployable Model

Mistral Small 3 is a 24B-parameter model explicitly engineered around forward-pass speed, using far fewer layers than competing models to minimize time per forward pass. Released under Apache 2.0, it targets the '80% of generative AI tasks' that demand robust instruction-following at very low latency.

Architecture & Training Positioning

Mistral explicitly notes the model is not trained with reinforcement learning or synthetic data, placing it earlier in the production pipeline than models like DeepSeek R1. This design choice makes it a clean base for community fine-tuning toward specialized reasoning capacities rather than a finished reasoning model.

Deployment Model

Available as mistral-small-2501 on La Plateforme API and distributed across Hugging Face, Ollama, Kaggle, Together AI, Fireworks AI, and IBM WatsonX. Both pretrained base and instruction-tuned checkpoints are released.

Documented Use Cases

• Low-latency function calling within agentic workflows
• Domain expert creation via fine-tuning (legal, medical, technical support)
• Local inference for sensitive or proprietary data handling
• Fast-response virtual assistants requiring near real-time output