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DeepSeek R1 Zero vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
DeepSeek R1 Zero leads with 42.5% higher average benchmark score. GPT-3.5 Turbo is available on 2 providers. Overall, DeepSeek R1 Zero is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-R1-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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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.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
DeepSeek R1 Zero
DeepSeek
2025-01-20
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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DeepSeek R1 Zero
Average Score:73.3%(+42.5%)
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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 Zero
0 providers
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GPT-3.5 Turbo
2 providers
Azure
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DeepSeek R1 Zero
Avg Score:73.3%(+42.5%)
Providers:0
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GPT-3.5 Turbo
Avg Score:30.8%
Providers:2