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DeepSeek-V3.1 vs DeepSeek-V3.2-Exp
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. DeepSeek-V3.1 offers 98.3K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $0.59 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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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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.
8 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.1
Input:$0.27
Output:$1.00
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41($0.59 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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DeepSeek-V3.1
Average Score:58.7%(+0.9%)
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DeepSeek-V3.2-Exp
Average Score:57.8%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.1
2 providers
DeepInfra
Novita
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DeepSeek-V3.2-Exp
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DeepSeek-V3.1
Avg Score:58.7%(+0.9%)
Providers:2
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DeepSeek-V3.2-Exp
Avg Score:57.8%
Providers:2