Price Per TokenPrice Per Token
Mistral AI
Mistral AI
vs
Qwen
Qwen

Mistral Small 3.2 24B vs Qwen3.5 9B

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

Mistral Small 3.2 24B wins:

  • Better at math
  • Supports vision

Qwen3.5 9B wins:

  • Cheaper input tokens
  • Cheaper output tokens
  • Larger context window
  • Faster response time
  • Higher intelligence benchmark
  • Better at coding
Price Advantage
Qwen3.5 9B
Benchmark Advantage
Qwen3.5 9B
Context Window
Qwen3.5 9B
Speed
Qwen3.5 9B

Pricing Comparison

Benchmark Comparison

Context & Performance

Capabilities

Feature Comparison

FeatureMistral Small 3.2 24BQwen3.5 9B
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyMistral Small 3.2 24BQwen3.5 9B
LicenseOpen SourceOpen Source
AuthorMistral AIQwen
ReleasedJun 2025Mar 2026

Mistral Small 3.2 24B Modalities

Input
imagetext
Output
text

Qwen3.5 9B Modalities

Input
textimagevideo
Output
text

Frequently Asked Questions

Qwen3.5 9B has cheaper input pricing at $0.04/M tokens. Qwen3.5 9B has cheaper output pricing at $0.15/M tokens.
Qwen3.5 9B scores higher on coding benchmarks with a score of 21.4, compared to Mistral Small 3.2 24B's score of 13.3.
Mistral Small 3.2 24B has a 131,072 token context window, while Qwen3.5 9B has a 262,144 token context window.
Mistral Small 3.2 24B supports vision. Qwen3.5 9B does not support vision.