Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3.1
DeepSeek
DeepSeek-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 17 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. 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.
DeepSeek-V3.2-Exp
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.
DeepSeek-V3.1
DeepSeek
2025-01-10
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
8 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-V3.1
DeepSeek-V3.2-Exp
Performance Metrics
Context window and performance specifications
DeepSeek-V3.1
DeepSeek-V3.2-Exp
Average performance across 16 common benchmarks
DeepSeek-V3.1
DeepSeek-V3.2-Exp
Performance comparison across key benchmark categories
DeepSeek-V3.1
DeepSeek-V3.2-Exp
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
DeepSeek-V3.2-Exp
Novita
ZeroEval
DeepSeek-V3.1
DeepSeek-V3.2-Exp