Comprehensive side-by-side LLM comparison
DeepSeek-V3.1 leads with 19.0% higher average benchmark score. DeepSeek-V3.1 offers 166.9K more tokens in context window than o1-preview. DeepSeek-V3.1 is $73.73 cheaper per million tokens. Overall, DeepSeek-V3.1 is the stronger choice for coding tasks.
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.
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.
4 months newer
o1-preview
OpenAI
2024-09-12
DeepSeek-V3.1
DeepSeek
2025-01-10
Cost per million tokens (USD)
DeepSeek-V3.1
o1-preview
Context window and performance specifications
Average performance across 19 common benchmarks
DeepSeek-V3.1
o1-preview
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
o1-preview
DeepSeek-V3.1
o1-preview
DeepSeek-V3.1
o1-preview
Azure
OpenAI