Introducing Mistral Small 4

Today, we are announcing Mistral Small 4. This model is the next major release in the Mistral Small family. Mistral Small 4 is the first Mistral model to unify the capabilities of our flagship models, Magistral for reasoning, Pixtral for multimodal, and Devstral for agentic coding, into a single, versatile model. With Small 4, users no longer need to choose between a fast instruct model, a powerful reasoning engine, or a multimodal assistant: one model now delivers all three, with configurable reasoning effort and best-in-class efficiency.

Mistral Small 4 is released under the Apache 2.0 license, continuing our commitment to open, accessible, and customizable AI.

A new standard for multimodal, reasoning-optimized models

Mistral Small 4 is a hybrid model optimized for general chat, coding, agentic tasks, and complex reasoning. Its architecture supports both text and image inputs, making it versatile for a wide range of applications. With Mistral Small 4, we reaffirm our commitment to open-source models and are proud to join the NVIDIA Nemotron Coalition as a founding member, advancing collaboration and innovation in AI development.

Key architectural details

• Mixture of Experts (MoE): 128 experts, with 4 active per token, enabling efficient scaling and specialization.

• 119B total parameters, with 6B active parameters per token (8B including embedding and output layers).

• 256k context window, supporting long-form interactions and document analysis.

• Configurable reasoning effort: Toggle between fast, low-latency responses and deep, reasoning-intensive outputs.

• Native multimodality: Accepts both text and image inputs, unlocking use cases from document parsing to visual analysis.

Performance highlights

• 40% reduction in end-to-end completion time (latency-optimized setup).

• 3x more requests per second (throughput-optimized setup) compared to Mistral Small 3.