Comprehensive side-by-side LLM comparison
o1-mini leads with 18.1% higher average benchmark score. GPT-5 nano offers 334.5K more tokens in context window than o1-mini. GPT-5 nano is $14.55 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, o1-mini is the stronger choice for coding tasks.
OpenAI
GPT-5 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). 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-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K 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.
10 months newer
o1-mini
OpenAI
2024-09-12
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 nano
o1-mini
Context window and performance specifications
Average performance across 10 common benchmarks
GPT-5 nano
o1-mini
GPT-5 nano
2024-05-30
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
GPT-5 nano
o1-mini
GPT-5 nano
o1-mini
o1-mini
Azure
OpenAI