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DeepSeek-R1-0528 vs GPT-4.1 nano
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 51.5% higher average benchmark score. GPT-4.1 nano offers 818.2K more tokens in context window than DeepSeek-R1-0528. GPT-4.1 nano is $2.15 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. DeepSeek-R1-0528 is available on 3 providers. 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-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
1 month newer
GPT-4.1 nano
OpenAI
2025-04-14
DeepSeek-R1-0528
DeepSeek
2025-05-28
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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-4.1 nano
Input:$0.10
Output:$0.40($2.15 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-R1-0528
Average Score:81.3%(+51.5%)
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GPT-4.1 nano
Average Score:29.8%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 nano
2024-05-31
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:81.3%(+51.5%)
Providers:3
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GPT-4.1 nano
Avg Score:29.8%
Providers:1