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Devstral Medium vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 57.6% higher average benchmark score. Overall, QwQ-32B is the stronger choice for coding tasks.
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Mistral AI
Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Devstral Medium
Mistral AI
2025-07-10
Performance Metrics
Context window and performance specifications
Average performance across 8 common benchmarks
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Devstral Medium
Average Score:7.7%
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QwQ-32B
Average Score:65.3%(+57.6%)
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Knowledge Cutoff
Training data recency comparison
QwQ-32B
2024-11-28
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Devstral Medium
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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QwQ-32B
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Devstral Medium
Avg Score:7.7%
Providers:1
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QwQ-32B
Avg Score:65.3%(+57.6%)
Providers:0