GPT 6 rosalind API pricing

What it costs on a real workload

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

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Observed rate history

No repricing observed since this model entered our archive on 2026-10-31. When a rate moves, the change appears here and on the sitewide ticker.

What the record shows

GPT 6 rosalind has not repriced once since it entered our archive on 2026-10-31. 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 44 models we price, it is the 44th cheapest for retrieval-shaped work, which reads a great deal and writes little, and the 44th cheapest for content-shaped work, which does the reverse. The two are close, so it holds its position whichever way your workload leans.

It charges 5.0 times more for output than for input, against a median of 5.0 times across the set. That is close to typical for the models we track.

Inside OpenAI's own lineup it is the most expensive of the 15 models we track on this workload. That is worth settling before comparing it against another vendor's flagship, because the cheaper alternatives are on the same account, behind the same key, with no migration to do.

15 of the 44 models we price offer a larger context window, and 7 match it exactly. Context is a capability limit rather than a cost one: paying more buys no extra room unless the larger window is what you are paying for.

Cached input reads at $1.50 against a standard input rate of $15.00, a 90% discount on the part of your prompt that repeats.

It accepts image input, but OpenAI publishes no rule for how images become tokens, so we will not price a scanned page on it. That is a gap in the provider's documentation rather than a limit of the model, and it is the reason this model is excluded from image estimates in our estimator instead of being given a plausible figure.

Its 922k token context window holds roughly 692,000 words of English text in a single request. 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 6 rosalind 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.