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DeepSeek-V3.2-Exp vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 24.6% higher average benchmark score. Qwen2.5 VL 72B Instruct supports multimodal inputs. DeepSeek-V3.2-Exp is available on 2 providers. Overall, Qwen2.5 VL 72B Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
8 months newer
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Performance Metrics
Context window and performance specifications
Average performance across 44 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:21.0%
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Qwen2.5 VL 72B Instruct
Average Score:45.6%(+24.6%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Qwen2.5 VL 72B Instruct
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DeepSeek-V3.2-Exp
Avg Score:21.0%
Providers:2
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Qwen2.5 VL 72B Instruct
Avg Score:45.6%(+24.6%)
Providers:0