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DeepSeek-V3 vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 22.8% higher average benchmark score. DeepSeek-V3 offers 241.7K more tokens in context window than GPT-3.5 Turbo. DeepSeek-V3 is $0.63 cheaper per million tokens. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3 was introduced as a major architectural advancement, developed with 671B mixture-of-experts parameters and trained on 14.8 trillion tokens. Built to be three times faster than V2 while maintaining open-source availability, it demonstrates competitive performance against frontier closed-source models and represents a significant leap in efficient large-scale model design.
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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-V3
DeepSeek
2024-12-25
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3
Input:$0.27
Output:$1.10($0.63 cheaper)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek-V3
Average Score:79.7%(+22.8%)
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GPT-3.5 Turbo
Average Score:56.9%
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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-V3
1 providers
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-3.5 Turbo
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DeepSeek-V3
Avg Score:79.7%(+22.8%)
Providers:1
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GPT-3.5 Turbo
Avg Score:56.9%
Providers:2