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DeepSeek-V3.1 vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 44.1% higher average benchmark score. DeepSeek-V3.1 offers 307.2K more tokens in context window than GPT-3.5 Turbo. DeepSeek-V3.1 is $0.73 cheaper per million tokens. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.1 was developed as an incremental advancement over DeepSeek-V3, designed to refine the mixture-of-experts architecture with improved training techniques. Built to enhance quality and efficiency while maintaining the open-source philosophy, it represents continued iteration on DeepSeek's flagship model line.
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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-V3.1
DeepSeek
2025-01-10
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00($0.73 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 1 common benchmarks
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DeepSeek-V3.1
Average Score:74.9%(+44.1%)
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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-V3.1
2 providers
DeepInfra
Novita
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GPT-3.5 Turbo
2 providers
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DeepSeek-V3.1
Avg Score:74.9%(+44.1%)
Providers:2
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GPT-3.5 Turbo
Avg Score:30.8%
Providers:2