Mistral Small 4 is the European entry in the 2026 open-weight field and arguably the best production-per-watt model available: 119B total parameters with only 6.5B active, 256K context, multimodal input, a reasoning mode, native function calling and JSON output — all under Apache 2.0.
Mistral's positioning is deployment-first rather than benchmark-first: Small 4 targets the regulated-industry and on-premise market where EU jurisdiction, clean licensing, and single-GPU serving matter more than leaderboard positions. For European enterprises with data-sovereignty requirements it is frequently the default choice.
Mistral Small 4 specifications
| Vendor | Mistral AI (France) |
|---|---|
| Architecture | Sparse Mixture-of-Experts, multimodal input |
| Total parameters | 119B |
| Active parameters | 6.5B |
| Context window | 256K tokens |
| Modalities | text, image |
| License | Apache 2.0 — permissive, patent-granting, free for commercial use |
| Release date | 2026-03-01 |
| Weights | Hugging Face · GitHub |
Running Mistral Small 4 locally
119B total / 6.5B active: about 65–70GB at 4-bit — a single 80GB GPU, dual 48GB cards, or a 96GB+ unified-memory Mac. The strongest production-friendly European open model to self-host on modest hardware.
What Mistral Small 4 is best for
- EU data-sovereignty and regulated-industry deployments
- Single-GPU production serving (6.5B active parameters)
- Function calling and structured-output pipelines
Frequently asked questions
Why choose Mistral Small 4 over larger Chinese or US models?
Jurisdiction and deployability. It is the strongest open-weight model from an EU vendor under Apache 2.0, and its 6.5B-active MoE design serves on a single 80GB GPU — a combination that regulated European enterprises often cannot get from trillion-parameter alternatives.