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DeepSeek-R1-0528 vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
DeepSeek-R1-0528 leads with 50.2% 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 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-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
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-3.5 Turbo
Input:$0.50
Output:$1.50($0.65 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek-R1-0528
Average Score:81.0%(+50.2%)
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GPT-3.5 Turbo
Average Score:30.8%
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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:81.0%(+50.2%)
Providers:3
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GPT-3.5 Turbo
Avg Score:30.8%
Providers:2