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DeepSeek-V3 vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 47.7% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, 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.
Launched on the same date
DeepSeek-V3
DeepSeek
2024-12-25
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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DeepSeek-V3
Average Score:56.0%(+47.7%)
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QvQ-72B-Preview
Average Score:8.2%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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QvQ-72B-Preview
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DeepSeek-V3
Avg Score:56.0%(+47.7%)
Providers:1
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QvQ-72B-Preview
Avg Score:8.2%
Providers:0