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DeepSeek R1 Zero vs GPT-5 nano
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 2.1% higher average benchmark score. GPT-5 nano supports multimodal inputs. GPT-5 nano is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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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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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
6 months newer
DeepSeek R1 Zero
DeepSeek
2025-01-20
GPT-5 nano
OpenAI
2025-08-07
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Zero
Average Score:73.3%(+2.1%)
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GPT-5 nano
Average Score:71.2%
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Knowledge Cutoff
Training data recency comparison
GPT-5 nano
2024-05-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Zero
0 providers
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GPT-5 nano
2 providers
OpenAI
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DeepSeek R1 Zero
Avg Score:73.3%(+2.1%)
Providers:0
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GPT-5 nano
Avg Score:71.2%
Providers:2