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Devstral Small 1.1 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 59.5% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, Qwen2.5 VL 32B Instruct is the stronger choice for coding tasks.
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Mistral AI
Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). 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 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Devstral Small 1.1
Mistral AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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Devstral Small 1.1
Average Score:1.8%
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Qwen2.5 VL 32B Instruct
Average Score:61.4%(+59.5%)
Provider Availability & Performance
Available providers and their performance metrics
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Devstral Small 1.1
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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Qwen2.5 VL 32B Instruct
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Devstral Small 1.1
Avg Score:1.8%
Providers:1
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Qwen2.5 VL 32B Instruct
Avg Score:61.4%(+59.5%)
Providers:0