What are the key differences between GPT-5.4 Mini and Nano?

Mini retains over 80% of flagship capabilities at one-fifth the price, suitable for high-frequency API calls. Nano supports on-device deployment on smartphones with no network needed, ideal for privacy-sensitive scenarios, but has limited complex reasoning abilities.

What does tiered model deployment mean for developers?

Developers can use routing layers to dynamically assign requests based on complexity — simple queries to Nano, medium tasks to Mini, complex ones to flagship — reducing average costs by 60-80% with negligible UX impact.

What are Nano's on-device limitations?

Using 4-bit/2-bit quantization, Nano performs significantly below Mini and flagship on complex multi-step reasoning and long-form code generation. It's designed for 'good enough' daily conversation and simple tasks.

— AI DAILY

Sources

AI Apps / Champaign Magazine