Comprehensive side-by-side LLM comparison
o3-mini leads with 10.9% higher average benchmark score. o3-mini offers 283.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $5.08 cheaper per million tokens. Overall, o3-mini is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. 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.
8 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
o3-mini
OpenAI
2025-01-30
Cost per million tokens (USD)
DeepSeek-V2.5
o3-mini
Context window and performance specifications
Average performance across 38 common benchmarks
DeepSeek-V2.5
o3-mini
o3-mini
2023-09-30
Available providers and their performance metrics
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic
DeepSeek-V2.5
o3-mini
DeepSeek-V2.5
o3-mini
o3-mini
Azure
OpenAI