GPT 5 Chat API pricing

What it costs on a real workload

Per 1M tokens processed, at the rates above. How the four profiles are defined.

Compare every model on these profiles →

Observed rate history

No repricing observed since this model entered our archive on 2025-08-11. When a rate moves, the change appears here and on the sitewide ticker.

What the record shows

GPT 5 Chat has not repriced once since it entered our archive on 2025-08-11. That is the ordinary case rather than the exception: providers ship new models at lower rates far more often than they cut the price of one already in service, which is why a cheaper option usually arrives as a new name rather than as a smaller number on this page.

Against the 40 models we price, it is the 28th cheapest for retrieval-shaped work, which reads a great deal and writes little, and the 31st cheapest for content-shaped work, which does the reverse. The two are far apart, and that is the useful part: GPT 5 Chat is relatively better value the more your workload reads and the less it writes. A single position in a table sorted one way would have told you the opposite of the truth for the other kind of work.

It charges 8.0 times more for output than for input, against a median of 5.0 times across the set. That is wider than most, so the length of the answers you ask for matters more here than it does elsewhere.

Inside OpenAI's own lineup it is the 6th cheapest of the 10 models we track on this workload, so 5 cheaper and 4 more expensive options sit on the same account behind the same key.

One other model we price charges exactly $1.25 in and $10.00 out: Gemini 2.5 Pro. Where a rate ties exactly, price has stopped being the deciding factor and this site has nothing further to tell you: that choice comes down to your own evaluations, which we do not run and do not score.

Cached input reads at $0.125 against a standard input rate of $1.25, a 90% discount on the part of your prompt that repeats.

It accepts image input and OpenAI publishes a tokenisation rule for it, so a scanned page can be priced honestly: about 630 tokens for a US Letter page at 200 DPI, before the instructions you send with it.

Its 128k token context window holds roughly 96,000 words of English text in a single request, or about 203 scanned pages at the per-page figure above. A workload that does not fit cannot run here at any price, which is a capability limit rather than a cost one.

Priced near this one

Closest to GPT 5 Chat on a retrieval workload, cheaper and more expensive alike. Cost only; we publish no quality score.

Retrieval profile: 800k in, 200k out, 70% cached where offered.