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DeepSeek VL2 vs Qwen2.5 VL 72B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct leads with 8.3% higher average benchmark score. Overall, Qwen2.5 VL 72B Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
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Alibaba Cloud / Qwen Team
Qwen2.5-VL 72B was created as the flagship vision-language model in the Qwen 2.5 series, designed to provide advanced multimodal understanding. Built with 72 billion parameters optimized for visual and textual reasoning, it represents Qwen's most capable offering for tasks requiring integrated image and language processing.
1 month newer
DeepSeek VL2
DeepSeek
2024-12-13
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
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Performance Metrics
Context window and performance specifications
Average performance across 7 common benchmarks
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DeepSeek VL2
Average Score:76.3%
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Qwen2.5 VL 72B Instruct
Average Score:84.5%(+8.3%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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Qwen2.5 VL 72B Instruct
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DeepSeek VL2
Avg Score:76.3%
Providers:1
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Qwen2.5 VL 72B Instruct
Avg Score:84.5%(+8.3%)
Providers:0