OpenAI · AI model API pricing
How much does GPT-5.4 Nano cost?
OpenAI's price floor — for classification, extraction and other bulk work where speed beats depth.
Rate card
| Input tokens | $0.20 / 1M |
| Cached input | $0.02 / 1M |
| Output tokens | $1.25 / 1M |
| Context window | — |
What that means per month
| Workload | Tokens / month | Cost / month |
|---|---|---|
| Prototype | 1M in · 0.3M out | $0.57/mo |
| Small app | 10M in · 3M out | $5.75/mo |
| Production app | 50M in · 15M out | $28.8/mo |
| High volume | 200M in · 60M out | $115/mo |
| Heavy platform | 1B in · 300M out | $575/mo |
Standard on-demand rates from OpenAI's official pricing page, last checked 2026-07-28. Monthly figures exclude caching and batch discounts. Confirm live pricing before committing.
Where GPT-5.4 Nano sits on price
At the reference month of 10M input and 3M output tokens, GPT-5.4 Nano costs $5.75, which makes it the 5th cheapest of the 30 models tracked here. That is 3.4× the price of Qwen-Flash, the cheapest model at this mix ($1.70). Among the 9 budget-tier models it ranks 5th, behind Qwen-Flash at $1.70.
Cache economics
Cached input on GPT-5.4 Nano bills at $0.02 per 1M — 10% of its own input rate, against a 10% median across the models here that publish a cached-read price. 2 models discount cached reads more steeply than this. On the reference month, serving 80% of that input from cache takes the input side of the bill from $2 to $0.56, leaving output untouched at $3.75 — which is why a high reuse rate changes the ranking above rather than just shaving the total.
Cache reads only. Writes are billed separately by some providers and are excluded here — see the rate note above for OpenAI's terms. Try it at your own hit rate on the AI cost calculator.
Cheaper alternatives
At a reference workload of 10M input / 3M output tokens a month, these cost less than GPT-5.4 Nano ($5.75/mo):
-
GPT-5.6 Luna $5.60/mo -
Mistral Small 4 $3.30/mo -
Gemini 2.5 Flash-Lite $2.20/mo