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DeepSeek R1 Distill Qwen 7B vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Distill Qwen 7B leads with 3.6% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-7B was developed as a compact distilled model, designed to provide reasoning capabilities in an efficient 7B parameter package. Built to extend analytical AI to a broad range of applications, it balances capability with the practical benefits of a smaller model size.
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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 7B
DeepSeek
2025-01-20
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Average performance across 1 common benchmarks
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DeepSeek R1 Distill Qwen 7B
Average Score:49.1%(+3.6%)
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Qwen2.5 14B Instruct
Average Score:45.5%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 7B
0 providers
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Qwen2.5 14B Instruct
0 providers
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DeepSeek R1 Distill Qwen 7B
Avg Score:49.1%(+3.6%)
Providers:0
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Qwen2.5 14B Instruct
Avg Score:45.5%
Providers:0