Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 9.9% higher average benchmark score. GPT-5 nano is $1.80 cheaper per million tokens. Overall, GPT-5 mini 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
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.
Launched on the same date
GPT-5 mini
OpenAI
2025-08-07
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 mini
GPT-5 nano
Context window and performance specifications
Average performance across 5 common benchmarks
GPT-5 mini
GPT-5 nano
GPT-5 mini
2024-05-30
GPT-5 nano
2024-05-30
Available providers and their performance metrics
GPT-5 mini
OpenAI
ZeroEval
GPT-5 mini
GPT-5 nano
GPT-5 mini
GPT-5 nano
GPT-5 nano
OpenAI
ZeroEval