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Mistral AI

Gemma 3n 4B vs Mistral Small 3.1 24B

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

Gemma 3n 4B wins:

  • Cheaper input tokens
  • Cheaper output tokens
  • Better at math

Mistral Small 3.1 24B wins:

  • Larger context window
  • Faster response time
  • Higher intelligence benchmark
  • Better at coding
  • Supports vision
  • Supports tool calls
Price Advantage
Gemma 3n 4B
Benchmark Advantage
Mistral Small 3.1 24B
Context Window
Mistral Small 3.1 24B
Speed
Mistral Small 3.1 24B

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureGemma 3n 4BMistral Small 3.1 24B
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyGemma 3n 4BMistral Small 3.1 24B
LicenseOpen SourceOpen Source
AuthorGoogleMistral AI
ReleasedMay 2025Mar 2025

Gemma 3n 4B Modalities

Input
text
Output
text

Mistral Small 3.1 24B Modalities

Input
textimage
Output
text

Frequently Asked Questions

Gemma 3n 4B has cheaper input pricing at $0.02/M tokens. Gemma 3n 4B has cheaper output pricing at $0.04/M tokens.
Mistral Small 3.1 24B scores higher on coding benchmarks with a score of 13.9, compared to Gemma 3n 4B's score of 4.2.
Gemma 3n 4B has a 32,768 token context window, while Mistral Small 3.1 24B has a 128,000 token context window.
Gemma 3n 4B does not support vision. Mistral Small 3.1 24B supports vision.