Mistral Small 4

Name: Mistral Small 4
Author: Mistral AI

Mistral AIOpen WeightsPending Human Review

Mistral Small 4 unifies chat instruction following, reasoning, coding, and image understanding in one configurable open-weight model. Its sparse expert architecture uses 128 experts, selecting four per token; the provider distinguishes six billion active expert parameters from eight billion including embedding and output layers. Users can choose direct answers or deeper reasoning per request. It is distributed under Apache 2.0 with support in common self-hosting runtimes. Despite the Small name, its total weights require considerably more memory than the earlier 24B Small models.

2026-03-16

119B total; 6B active (8B including embedding/output)

Mixture-of-experts Transformer, 128 experts, top-4 routing

Apache-2.0

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Specifications

Parameters: 119B total; 6B active (8B including embedding/output)
Architecture: Mixture-of-experts Transformer, 128 experts, top-4 routing
License: Apache-2.0
Context Window: 262,144 tokens
Type: multimodal
Modalities: textimage

Benchmark Scores

Advanced Specifications

Model Family: Mistral Small
API Access: Available
Chat Interface: Not Available

Capabilities & Limitations

Capabilities: configurable reasoningvisioncodingagentic tasks
Known Limitations: Deployment requires multiple datacenter GPUs in published configurationsDeep reasoning adds latency
Notable Use Cases: multimodal assistantscoding agentsdocument analysis
Tool Use Support: Yes

Resources

mistral.ai/news/mistral-small-4/

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