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DeepSeek-V2.5 vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 45.7% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. DeepSeek-V2.5 is available on 3 providers. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. 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.
7 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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DeepSeek-V2.5
Average Score:56.1%(+45.7%)
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QvQ-72B-Preview
Average Score:10.4%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:56.1%(+45.7%)
Providers:3
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QvQ-72B-Preview
Avg Score:10.4%
Providers:0