Mistral Small 4
Open SourceMistral AI•Released on 2026-03-16
Mistral's unified model combining instruct, reasoning (Magistral), coding (Devstral), and multimodal (Pixtral) capabilities. 119B total / 6B active MoE parameters. Apache 2.0 license. 256K context. Configurable reasoning_effort parameter for balancing speed vs depth.
80
Overall Score
Core Specs
262K
Context Window
33K
Max Output
✓
Reasoning
✓
Open Source
Multimodal Support
textimage
Scenario Scores
User Feedback Highlights
Based on community feedback. Hover to see original reviews.
+ 40% faster than Mistral Small 3− Behind frontier models on hardest benchmarks− New model, less community validation+ Configurable reasoning effort− Requires high-end GPUs (4x H100 minimum)+ Unified reasoning + multimodal + coding+ Excellent price ($0.15/$0.60)+ Apache 2.0 open source
Sentiment:👍 72%😐 20%👎 8%
Pros & Cons
Pros
- +Apache 2.0 open source
- +Excellent price ($0.15/$0.60)
- +Unified reasoning + multimodal + coding
- +Configurable reasoning effort
- +40% faster than Mistral Small 3
Cons
- −Requires high-end GPUs (4x H100 minimum)
- −Behind frontier models on hardest benchmarks
- −New model, less community validation
Reliability
Incidents (30d)0
开源模型，可靠性取决于托管方
Pricing
Input (per 1M tokens)$0.15
Output (per 1M tokens)$0.60
Free trial available
Updated on 2026-04-01
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Compare with Others
Benchmarks
mmlu85%
humanEval88%
liveCodeBench72%