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DeepSeek-V3 0324 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3 0324 leads with 17.4% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, DeepSeek-V3 0324 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3-0324 represents a specific release iteration of DeepSeek-V3, developed to incorporate ongoing improvements and refinements. Built to provide enhanced stability and performance based on deployment learnings, it continues the evolution of the DeepSeek-V3 architecture with iterative enhancements.
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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.
25 days newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
DeepSeek-V3 0324
DeepSeek
2025-03-25
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3 0324
Average Score:74.8%(+17.4%)
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Qwen2.5 VL 32B Instruct
Average Score:57.4%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3 0324
1 providers
Novita
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Qwen2.5 VL 32B Instruct
0 providers
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DeepSeek-V3 0324
Avg Score:74.8%(+17.4%)
Providers:1
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Qwen2.5 VL 32B Instruct
Avg Score:57.4%
Providers:0