Quick Answer
What Is Mistral Small 4? Europe's Efficient AI Model
What Is Mistral Small 4?
Mistral Small 4 is Mistral AI’s efficient hybrid model — 119B parameters, 6.5B active, 256K context. Released March 16, 2026.
Last verified: March 29, 2026
Key Specs
| Feature | Detail |
|---|---|
| Developer | Mistral AI (Paris, France) |
| Release date | March 16, 2026 |
| Total parameters | 119B |
| Active parameters | 6.5B per token |
| Architecture | Hybrid (Mixture-of-Experts) |
| Context window | 256K tokens |
| Positioning | Sovereign, deployable, high-performance |
Why It Matters
Mistral Small 4 sits at a unique intersection:
- Efficient — Only 6.5B active parameters means lower compute costs
- Capable — 119B total parameters provide strong reasoning depth
- Deployable — Runs on moderate infrastructure for on-premises deployment
- Sovereign — European companies can keep data in-region for GDPR compliance
- Long context — 256K tokens handles large codebases and documents
Competitive Landscape
| Model | Total Params | Active Params | Context |
|---|---|---|---|
| Mistral Small 4 | 119B | 6.5B | 256K |
| GPT-5.4 Mini | Undisclosed | Undisclosed | 128K |
| Claude 4.5 Haiku | Undisclosed | Undisclosed | 200K |
| Qwen 3.5 Small | 22B | 22B (dense) | 128K |
Mistral’s MoE architecture gives it the best efficiency ratio in this tier — more total knowledge with lower per-token compute.
Who Should Use It
- European companies needing data sovereignty
- Teams wanting on-premises AI without cloud dependency
- Applications requiring long context (legal documents, codebases)
- Cost-sensitive deployments where per-token efficiency matters