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DeepSeek R1 Distill Qwen 32B vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 32B leads with 16.1% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Overall, DeepSeek R1 Distill Qwen 32B is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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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.
1 month newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
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 1 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:62.1%(+16.1%)
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Qwen2.5 VL 32B Instruct
Average Score:46.0%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Qwen2.5 VL 32B Instruct
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DeepSeek R1 Distill Qwen 32B
Avg Score:62.1%(+16.1%)
Providers:1
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Qwen2.5 VL 32B Instruct
Avg Score:46.0%
Providers:0