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DeepSeek R1 Distill Qwen 1.5B vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 49.9% higher average benchmark score. Qwen2-VL-72B-Instruct supports multimodal inputs. Overall, Qwen2-VL-72B-Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek R1 Distill Qwen 1.5B is a language model developed by DeepSeek. The model shows competitive results across 4 benchmarks. It excels particularly in MATH-500 (83.9%), AIME 2024 (52.7%), GPQA (33.8%). 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-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
4 months newer
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Average performance across 19 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:9.9%
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Qwen2-VL-72B-Instruct
Average Score:59.8%(+49.9%)
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 1.5B
0 providers
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Qwen2-VL-72B-Instruct
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:9.9%
Providers:0
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Qwen2-VL-72B-Instruct
Avg Score:59.8%(+49.9%)
Providers:0