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DeepSeek R1 Distill Qwen 32B vs Qwen2.5 VL 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
6 days newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
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Performance Metrics
Context window and performance specifications
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 7B Instruct
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DeepSeek R1 Distill Qwen 32B
Avg Score:0.0%
Providers:1
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Qwen2.5 VL 7B Instruct
Avg Score:0.0%
Providers:0