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DeepSeek-V3.2-Exp vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 25.1% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. DeepSeek-V3.2-Exp is available on 2 providers. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
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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.
7 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:82.5%(+25.1%)
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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-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Qwen2.5 VL 32B Instruct
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DeepSeek-V3.2-Exp
Avg Score:82.5%(+25.1%)
Providers:2
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Qwen2.5 VL 32B Instruct
Avg Score:57.4%
Providers:0