Comprehensive side-by-side LLM comparison
o3 leads with 20.2% higher average benchmark score. DeepSeek-V3.1 offers 27.7K more tokens in context window than o3. DeepSeek-V3.1 is $8.73 cheaper per million tokens. o3 supports multimodal inputs. Overall, o3 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
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 67.5% across 22 benchmarks. It excels particularly in COLLIE (98.4%), AIME 2024 (91.6%), ARC-AGI (88.0%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
3 months newer
DeepSeek-V3.1
DeepSeek
2025-01-10
o3
OpenAI
2025-04-16
Cost per million tokens (USD)
DeepSeek-V3.1
o3
Context window and performance specifications
Average performance across 30 common benchmarks
DeepSeek-V3.1
o3
o3
2024-05-31
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
o3
DeepSeek-V3.1
o3
DeepSeek-V3.1
o3
OpenAI