Comprehensive side-by-side LLM comparison
o1 leads with 48.2% higher average benchmark score. GPT-5 mini offers 228.0K more tokens in context window than o1. GPT-5 mini is $72.75 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Overall, o1 is the stronger choice for coding tasks.
OpenAI
GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. 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.
OpenAI
o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K 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.
7 months newer
o1
OpenAI
2024-12-17
GPT-5 mini
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 mini
o1
Context window and performance specifications
Average performance across 22 common benchmarks
GPT-5 mini
o1
GPT-5 mini
2024-05-30
Available providers and their performance metrics
GPT-5 mini
OpenAI
ZeroEval
GPT-5 mini
o1
GPT-5 mini
o1
o1
Azure
OpenAI