Mistral AI launches Mistral Small 4 – combining three AI models into one
Mistral AI has released the open-weights model Mistral Small 4, weaving together advanced logic, vision capabilities, and code generation into a 119-billion parameter system.
What happened?
Mistral AI has launched Mistral Small 4 under the open-source Apache 2.0 license. The new model integrates logical reasoning capabilities from Magistral, image understanding from Pixtral, and code generation from Devstral into a single system. The architecture is based on a Mixture-of-Experts (MoE) model with 128 experts and a total of 119 billion parameters, with 60 billion parameters activated per token. Simultaneously, Mistral AI has joined as a founding member of Nvidia's new Nemotron alliance.
Key facts
| Licens | Apache 2.0 |
|---|---|
| Totala parametrar | 119 miljarder (MoE) |
| Aktiva parametrar | 60 miljarder per token |
| Kontextfönster | 256k tokens |
| Genomströmning | 3x högre RPS än föregångaren |
Why it matters
By merging three separate specialised models, developers no longer need to choose between speed, image analysis, and deep code generation. The model's adjustable reasoning strength allows for switching between low latency and deeper analysis, reducing inference time and computational costs by up to 40 percent in latency-optimised mode.
Who is affected?
The launch is relevant for software developers, data scientists, and enterprises building AI agents or multimodal applications. Organisations seeking to run high-performance, open-weights models on their own infrastructure now have a more cost-effective alternative with long-context support.
Impact on the EU
Mistral Small 4 is released under the Apache 2.0 license and is freely available for both commercial and research use within the EU. The model complies with the open-source provisions of the EU AI Act, providing European companies with a local, high-performance foundation model.
What else you should know
The model is published on platforms such as Hugging Face and Mistral's own infrastructure. The collaboration within the Nemotron alliance also ensures that hardware optimisations for Nvidia systems are available from day one.
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