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DeepSeek-R1-0528 vs GPT-5 nano
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 6.2% higher average benchmark score. GPT-5 nano offers 265.9K more tokens in context window than DeepSeek-R1-0528. GPT-5 nano is $2.20 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-0528 represents a specific release iteration of the DeepSeek-R1 model, developed to incorporate refinements and improvements from ongoing training. Built to provide enhanced reasoning capabilities based on accumulated insights, it continues the evolution of DeepSeek's reasoning-focused architecture.
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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.
2 months newer
DeepSeek-R1-0528
DeepSeek
2025-05-28
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-R1-0528
Input:$0.50
Output:$2.15
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GPT-5 nano
Input:$0.05
Output:$0.40($2.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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DeepSeek-R1-0528
Average Score:66.4%(+6.2%)
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GPT-5 nano
Average Score:60.2%
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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-R1-0528
3 providers
DeepInfra
Throughput: 45.04 tok/s
Latency: 0.61ms
DeepSeek
Throughput: 9 tok/s
Latency: 0.3ms
Novita
Throughput: 37.96 tok/s
Latency: 1.18ms
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DeepSeek-R1-0528
Avg Score:66.4%(+6.2%)
Providers:3
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GPT-5 nano
Avg Score:60.2%
Providers:2