Comprehensive side-by-side LLM comparison
o3-mini leads with 3.6% higher average benchmark score. o3-mini offers 37.9K more tokens in context window than DeepSeek-V3. DeepSeek-V3 is $4.13 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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.
OpenAI
o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI's latest advancement in AI technology.
1 month newer
DeepSeek-V3
DeepSeek
2024-12-25
o3-mini
OpenAI
2025-01-30
Cost per million tokens (USD)
DeepSeek-V3
o3-mini
Context window and performance specifications
Average performance across 38 common benchmarks
DeepSeek-V3
o3-mini
o3-mini
2023-09-30
Available providers and their performance metrics
DeepSeek-V3
DeepSeek
o3-mini
DeepSeek-V3
o3-mini
DeepSeek-V3
o3-mini
Azure
OpenAI