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DeepSeek R1 Zero vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 27.8% higher average benchmark score. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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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 Zero
DeepSeek
2025-01-20
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Average performance across 1 common benchmarks
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DeepSeek R1 Zero
Average Score:73.3%(+27.8%)
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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 Zero
0 providers
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Qwen2.5 14B Instruct
0 providers
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DeepSeek R1 Zero
Avg Score:73.3%(+27.8%)
Providers:0
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Qwen2.5 14B Instruct
Avg Score:45.5%
Providers:0