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DeepSeek-R1-0528 vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 27.1% higher average benchmark score. DeepSeek-R1-0528 offers 241.7K more tokens in context window than GPT-3.5 Turbo. GPT-3.5 Turbo is $0.65 cheaper per million tokens. Overall, DeepSeek-R1-0528 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
DeepSeek-R1-0528
DeepSeek
2025-05-28
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-3.5 Turbo
Input:$0.50
Output:$1.50($0.65 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 23 common benchmarks
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DeepSeek-R1-0528
Average Score:41.8%(+27.1%)
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GPT-3.5 Turbo
Average Score:14.7%
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
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:41.8%(+27.1%)
Providers:3
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GPT-3.5 Turbo
Avg Score:14.7%
Providers:2