gpt-rosalind-research pricing
gpt-rosalind-research from OpenAI costs $5.00 per 1M input tokens and $25.00 per 1M output tokens. Cached input is $0.500 per 1M.
API id gpt-rosalind-research · OpenAI · source · updated 2026-09-25 · general-purpose
$5.00
Input / 1M tokens
$25.00
Output / 1M tokens
$0.500
Cached input / 1M
—
Context window
gpt-rosalind-research specifications
- Provider
- OpenAI
- API id
gpt-rosalind-research- Model type
- general-purpose
- Context window
- — tokens
- Max output
- not published
- Currency
- USD
- Price source
- First-party
- Last checked
- 2026-09-25
What gpt-rosalind-research costs in practice
| Workload | Input tokens | Output tokens | Estimated cost |
|---|---|---|---|
| Short chat turn | 1,000 | 500 | $0.02 |
| Document summary | 50,000 | 2,000 | $0.30 |
| 1M tokens in, 200K out | 1,000,000 | 200,000 | $10.00 |
Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.
Common questions
- How much does gpt-rosalind-research cost per 1M tokens?
- gpt-rosalind-research costs $5.00 per 1M input tokens and $25.00 per 1M output tokens on the standard tier. Cached input is $0.500 per 1M.
- What is gpt-rosalind-research's context window?
- OpenAI does not publish a context window for gpt-rosalind-research on its pricing page.
- Is there a cheaper OpenAI model than gpt-rosalind-research?
- Yes. omni-moderation-latest is free per 1M input tokens versus $5.00 for gpt-rosalind-research.
- Where does this gpt-rosalind-research price come from?
- Directly from OpenAI's published pricing page, re-read every day and normalized to USD per 1,000,000 tokens.