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DeepSeek-R1-0528 vs GPT-5 mini
Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 3.1% higher average benchmark score. GPT-5 mini offers 265.9K more tokens in context window than DeepSeek-R1-0528. Both models have similar pricing. GPT-5 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment considerations.
2 months newer
DeepSeek-R1-0528
DeepSeek
2025-05-28
GPT-5 mini
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 mini
Input:$0.25
Output:$2.00($0.40 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%
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GPT-5 mini
Average Score:69.5%(+3.1%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
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%
Providers:3
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GPT-5 mini
Avg Score:69.5%(+3.1%)
Providers:2