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DeepSeek VL2 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 8.5% higher average benchmark score. Overall, Qwen2.5 VL 32B 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 32B was developed as a mid-sized vision-language model, designed to balance multimodal capability with practical deployment considerations. Built with 32 billion parameters for vision and language integration, it serves applications requiring strong visual understanding without flagship-scale resources.
2 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek VL2
Average Score:71.0%
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Qwen2.5 VL 32B Instruct
Average Score:79.4%(+8.5%)
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 32B Instruct
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DeepSeek VL2
Avg Score:71.0%
Providers:1
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Qwen2.5 VL 32B Instruct
Avg Score:79.4%(+8.5%)
Providers:0