Text model
gpt-rosalind-discovery pricing
OpenAI charges $5.00 per million input tokens and $25.00 per million output tokens for gpt-rosalind-discovery, and $0.50 for cached input. Below: every rate that applies, what common workloads cost, and cheaper options.
- Input
- $5.00/ 1M
- Output
- $25.00/ 1M
- Cached input
- $0.50/ 1M
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $5.00 | $25.00 | $0.50 | — |
USD per million tokens. Long-context tiers apply when the whole prompt, cached tokens included, passes the threshold.
Work it out
What common workloads cost
| Workload | Per call | Cost per call | Calls a month | Per month |
|---|---|---|---|---|
| Chat reply | 1,500 input and 400 output tokens | $0.02 | 100,000 | $1,750.00 |
| RAG answer, cached context | 2,000 fresh + 4,000 cached input, 500 output | $0.02 | 100,000 | $2,450.00 |
| Agent step | 4,000 fresh + 8,000 cached input, 800 output | $0.04 | 250,000 | $11,000.00 |
| Batch summary | 3,000 input and 300 output tokens via the Batch API | — | 1,000,000 | — |
Planning a mix of models? Simulate a workload with gpt-rosalind-discovery, alongside anything else you run.
Cheaper options
Current models that cost at least 15% less for a typical chat reply. Cheaper isn't always equivalent: test quality on your own prompts, then use veqen diff to see the impact at your volume.
| Model | Chat reply | Saving |
|---|---|---|
| openai/daybreak-blue-latest | $0.01 | 20% |
| openai/gpt-5.6 | $0.01 | 20% |
| databricks/databricks-claude-opus-5-5 | $0.01 | 20% |
| databricks/databricks-gpt-5-6-sol | $0.01 | 20% |
Price history
No price changes since Veqen started tracking this model.
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Last verified with price book 2026-10-22. Sources: OpenAI pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.