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DeepSeek-V2.5 vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
DeepSeek-V2.5 leads with 36.4% higher average benchmark score. GPT-3.5 Turbo offers 4.1K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $1.58 cheaper per million tokens. Overall, DeepSeek-V2.5 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, 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-V2.5
DeepSeek
2024-05-08
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V2.5
Input:$0.14
Output:$0.28($1.58 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 20 common benchmarks
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DeepSeek-V2.5
Average Score:53.3%(+36.4%)
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GPT-3.5 Turbo
Average Score:16.9%
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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-V2.5
3 providers
DeepInfra
Throughput: 63 tok/s
Latency: 0.5ms
DeepSeek
Throughput: 100 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 100 tok/s
Latency: 0.5ms
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DeepSeek-V2.5
Avg Score:53.3%(+36.4%)
Providers:3
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GPT-3.5 Turbo
Avg Score:16.9%
Providers:2