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DeepSeek-V3.2-Exp vs o1-preview
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 19.4% higher average benchmark score. DeepSeek-V3.2-Exp offers 68.6K more tokens in context window than o1-preview. DeepSeek-V3.2-Exp is $74.32 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
o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). It supports a 161K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
1 year newer
o1-preview
OpenAI
2024-09-12
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($74.32 cheaper)
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o1-preview
Input:$15.00
Output:$60.00
Performance Metrics
Context window and performance specifications
Average performance across 18 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:48.2%(+19.4%)
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o1-preview
Average Score:28.8%
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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o1-preview
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DeepSeek-V3.2-Exp
Avg Score:48.2%(+19.4%)
Providers:2
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o1-preview
Avg Score:28.8%
Providers:2