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DeepSeek R1 Zero vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 9.4% higher average benchmark score. Qwen2.5 72B Instruct is available on 4 providers. 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 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
4 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
DeepSeek R1 Zero
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek R1 Zero
Average Score:61.7%(+9.4%)
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Qwen2.5 72B Instruct
Average Score:52.3%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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Qwen2.5 72B Instruct
4 providers
DeepInfra
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DeepSeek R1 Zero
Avg Score:61.7%(+9.4%)
Providers:0
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Qwen2.5 72B Instruct
Avg Score:52.3%
Providers:4