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Mistral AI

Mistral Small 4

Open Source

Mistral AIReleased 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

Voice of the community

sample 245

Mistral Small 4 with Apache 2.0 is huge. One model for reasoning, vision, and coding - exactly what I needed.

Community2026-03-17

The reasoning_effort parameter is brilliant. Fast mode for simple tasks, high for complex problems.

Community2026-03-20

Core Specs

262K
Context Window
33K
Max Output
ReasoningOpen Sourcetextimage

Pros & Cons

Sentiment72% +20% ·8% −

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

Pricing

Input (per 1M tokens)$0.15
Output (per 1M tokens)$0.60
Free trial available
Updated on 2026-04-01

Get Started

1Visit the provider's website
2Create an account
3Start using the model

Benchmarks

mmlu85%
humanEval88%
liveCodeBench72%

Reliability

Incidents (30d)0
开源模型,可靠性取决于托管方