GPT-5.4 Nano: ultra-cheap, fastest GPT-5.4

GPT-5.4 Nano is the cheapest and fastest member of the GPT-5.4 family — OpenAI's answer to the "free tier and background tasks" problem. It ships with a 128K context window, vision input, and the same tool-calling shape as its bigger siblings, but at $0.20 per million input tokens and $1.25 per million output it costs roughly 25% of GPT-5.4 Mini and ~4% of GPT-5.5. There is no native web search at this tier. The case for Nano: high-volume councils where cost-per-message must be near-zero, very high-volume background work (auto-tagging, light enrichment, simple classification), and latency-sensitive UX where the model is just one step in a longer pipeline. The case against: anything requiring web search, deep reasoning, refactor-heavy coding, or genuinely hard problems — move to Mini, GPT-5.4, or a flagship for those.

Specs

Best at

• Free-tier councils — cheap enough that you can give every signup real model access.
• Background enrichment — auto-tagging, summary generation, light extraction at scale.
• High-volume classification — fast, cheap, and accurate enough for routing and labels.
• Latency-sensitive UX — fastest GPT-5.4 variant — good for inline UI assists.

Where it loses

• Web search — not supported at the Nano tier — pick Mini or 5.4 if you need it.
• Deep reasoning — reach for GPT-5.4, GPT-5.5, or Claude Opus 4.7 for hard problems.
• Refactor-heavy coding — too small for serious multi-file work — use Sonnet 4.6.

How Council AI uses it

Council AI exposes GPT-5.4 Nano on every paid plan inside multi-model councils. You don't manage API keys, rate limits, or per-call pricing — the model is bundled into your monthly plan budget, and the orchestrator picks it (or routes around it) based on the task. When the council runs, GPT-5.4 Nano produces its independent answer in parallel with the other selected models, then the Moderator synthesizes a single response that reconciles the disagreements.

Frequently asked questions