Comprehensive side-by-side LLM comparison
DeepSeek-V3 leads with 17.6% higher average benchmark score. DeepSeek-V3 offers 32.8K more tokens in context window than DeepSeek-V3.2-Exp. DeepSeek-V3.2-Exp is $0.69 cheaper per million tokens. Overall, DeepSeek-V3 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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.
9 months newer
DeepSeek-V3
DeepSeek
2024-12-25
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
Cost per million tokens (USD)
DeepSeek-V3
DeepSeek-V3.2-Exp
Context window and performance specifications
Average performance across 27 common benchmarks
DeepSeek-V3
DeepSeek-V3.2-Exp
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
DeepSeek-V3.2-Exp
DeepSeek-V3
DeepSeek-V3.2-Exp
DeepSeek-V3
DeepSeek-V3.2-Exp
Novita
ZeroEval