GPT rosalind discovery API pricing
Published on-demand rates for OpenAI's gpt-rosalind-discovery, captured 2026-10-23 from public pricing data and committed to our archive. Context window 0k tokens; first observed in our archive 2026-10-10.
| Meter | USD per 1M tokens |
|---|---|
| Input | $5.00 |
| Output | $25.00 |
| Cached input | $0.500 |
Standard on-demand rates. Excludes batch endpoints and negotiated pricing; confirm on OpenAI's pricing page before committing.
What it costs on a real workload
Per 1M tokens processed, at the rates above. How the four profiles are defined.
| Profile | In / out mix | Cached share | Cost |
|---|---|---|---|
| Retrieval | 800k / 200k | 70% | $6.48 |
| Chat | 500k / 500k | 30% | $14.32 |
| Content | 200k / 800k | 20% | $20.82 |
| Agent | 900k / 100k | 85% | $3.56 |
Observed rate history
No repricing observed since this model entered our archive on 2026-10-10. When a rate moves, the change appears here and on the sitewide ticker.
What the record shows
GPT rosalind discovery has not repriced once since it entered our archive on 2026-10-10. 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 42 models we price, it is the 40th cheapest for retrieval-shaped work, which reads a great deal and writes little, and the 40th 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 12th cheapest of the 13 models we track on this workload, so 11 cheaper and 1 more expensive option sits on the same account behind the same key.
41 of the 42 models we price offer a larger context window. 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 $0.500 against a standard input rate of $5.00, a 90% discount on the part of your prompt that repeats.
Whether it accepts image input is not stated in the source we capture, and we do not guess at it.
Its 0k token context window holds roughly 0,000 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 rosalind discovery on a retrieval workload, cheaper and more expensive alike. Cost only; we publish no quality score.
| Model | Provider | Input | Output | vs GPT rosalind discovery |
|---|---|---|---|---|
| Sonar Pro | Perplexity | $3.00 | $15.00 | 17% less |
| GPT 5.6 | OpenAI | $4.00 | $20.00 | 20% less |
| Claude Opus 5.5 | Anthropic | $4.00 | $20.00 | 22% less |
| GPT 5.3 | OpenAI | $1.75 | $14.00 | 49% less |
Retrieval profile: 800k in, 200k out, 70% cached where offered.
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