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DeepSeek R1 Distill Llama 8B vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Llama 8B leads with 3.0% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Llama-8B was developed as a compact distilled variant, designed to bring reasoning capabilities to a more efficient 8B parameter Llama base. Built to democratize access to reasoning-enhanced models, it provides a lightweight option for applications requiring analytical depth with limited resources.
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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 Llama 8B
DeepSeek
2025-01-20
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
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Average performance across 1 common benchmarks
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DeepSeek R1 Distill Llama 8B
Average Score:49.0%(+3.0%)
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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 Llama 8B
0 providers
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Qwen2.5 VL 32B Instruct
0 providers
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DeepSeek R1 Distill Llama 8B
Avg Score:49.0%(+3.0%)
Providers:0
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Qwen2.5 VL 32B Instruct
Avg Score:46.0%
Providers:0