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DeepSeek-V3.2-Exp vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 28.0% higher average benchmark score. DeepSeek-V3.2-Exp offers 208.9K more tokens in context window than GPT-3.5 Turbo. DeepSeek-V3.2-Exp is $1.32 cheaper per million tokens. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41($1.32 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 21 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:44.1%(+28.0%)
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GPT-3.5 Turbo
Average Score:16.1%
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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-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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GPT-3.5 Turbo
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DeepSeek-V3.2-Exp
Avg Score:44.1%(+28.0%)
Providers:2
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GPT-3.5 Turbo
Avg Score:16.1%
Providers:2