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DeepSeek R1 Distill Qwen 1.5B vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 11.7% higher average benchmark score. Overall, Qwen2.5 14B Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
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Alibaba Cloud / Qwen Team
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
4 months newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
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Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 1.5B
Average Score:33.8%
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Qwen2.5 14B Instruct
Average Score:45.5%(+11.7%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 1.5B
0 providers
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Qwen2.5 14B Instruct
0 providers
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DeepSeek R1 Distill Qwen 1.5B
Avg Score:33.8%
Providers:0
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Qwen2.5 14B Instruct
Avg Score:45.5%(+11.7%)
Providers:0