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DeepSeek R1 Distill Qwen 1.5B vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
QvQ-72B-Preview leads with 1.3% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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
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.
26 days newer
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Average performance across 8 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:23.4%
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QvQ-72B-Preview
Average Score:24.7%(+1.3%)
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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QvQ-72B-Preview
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:23.4%
Providers:0
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QvQ-72B-Preview
Avg Score:24.7%(+1.3%)
Providers:0