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

Mistral Small 24B Instruct 2501 vs Qwen3.5 9B

A detailed comparison of pricing, benchmarks, and capabilities

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Key Takeaways

Mistral Small 24B Instruct 2501 wins:

  • Cheaper output tokens
  • Better at math

Qwen3.5 9B wins:

  • Cheaper input tokens
  • Larger context window
  • Faster response time
  • Higher intelligence benchmark
  • Better at coding
Price Advantage
Mistral Small 24B Instruct 2501
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 24B Instruct 2501Qwen3.5 9B
Vision (Image Input)
Tool/Function Calls
Reasoning Mode
Audio Input
Audio Output
PDF Input
Prompt Caching
Web Search

License & Release

PropertyMistral Small 24B Instruct 2501Qwen3.5 9B
LicenseOpen SourceOpen Source
AuthorMistral AIQwen
ReleasedJan 2025Mar 2026

Mistral Small 24B Instruct 2501 Modalities

Input
text
Output
text

Qwen3.5 9B Modalities

Input
textimagevideo
Output
text

Related Comparisons

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Compare Qwen3.5 9B with:

Frequently Asked Questions

Qwen3.5 9B has cheaper input pricing at $0.04/M tokens. Mistral Small 24B Instruct 2501 has cheaper output pricing at $0.08/M tokens.
Qwen3.5 9B scores higher on coding benchmarks with a score of 21.4, compared to Mistral Small 24B Instruct 2501's score of N/A.
Mistral Small 24B Instruct 2501 has a 32,768 token context window, while Qwen3.5 9B has a 262,144 token context window.
Mistral Small 24B Instruct 2501 does not support vision. Qwen3.5 9B does not support vision.