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Devstral Medium vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
QvQ-72B-Preview leads with 27.3% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, QvQ-72B-Preview 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
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Devstral Medium
Mistral AI
2025-07-10
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Devstral Medium
Average Score:12.3%
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QvQ-72B-Preview
Average Score:39.6%(+27.3%)
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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QvQ-72B-Preview
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Devstral Medium
Avg Score:12.3%
Providers:1
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QvQ-72B-Preview
Avg Score:39.6%(+27.3%)
Providers:0