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DeepSeek-V3.1 vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 25.9% 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 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 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.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
DeepSeek-V3.1
DeepSeek
2025-01-10
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 23 common benchmarks
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DeepSeek-V3.1
Average Score:40.6%(+25.9%)
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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-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:40.6%(+25.9%)
Providers:2
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GPT-3.5 Turbo
Avg Score:14.7%
Providers:2