ModelPricing.aio3-deep-research API Pricing
o3-deep-research costs $10.00 per million input tokens and $40.00 per million output tokens on the OpenAI API. Prices are tracked from the official OpenAI pricing table and used by the ModelPricing.ai estimation API, so this page and the API always quote the same numbers. See all OpenAI model pricing or the full LLM pricing comparison.
o3-deep-research Pricing Per Million Tokens
| Tier | Input / 1M | Output / 1M | Cache read / 1M | Cache write / 1M |
|---|---|---|---|---|
| Standard | $10.00 | $40.00 | $2.50 | — |
What o3-deep-research Costs In Practice
Monthly cost at three representative workloads, using the standard text rate in effect today.
| Workload | Monthly cost |
|---|---|
| Light — 1M in / 200K out | $18.00 |
| Moderate — 10M in / 2M out | $180.00 |
| Heavy — 100M in / 20M out | $1800.00 |
Need your own numbers? Use the LLM cost calculator or call the estimation API directly.
Compare o3-deep-research With Other Models
Looking for something cheaper from OpenAI? GPT-5 Nano is the lowest-priced option on input tokens.
o3-deep-research Pricing FAQ
How much does o3-deep-research cost per token?
o3-deep-research costs $10.00 per million input tokens and $40.00 per million output tokens on the OpenAI API. That works out to $0.0100 per thousand input tokens.
How much does it cost to run o3-deep-research per month?
At 1M in / 200K out per month, o3-deep-research costs about $18.00. A heavier workload of 100M input and 20M output tokens costs about $1800.00.
Does o3-deep-research support prompt caching?
Yes. Cached input tokens are billed at $2.50 per million on o3-deep-research, compared with $10.00 per million for uncached input.
Estimate o3-deep-research costs programmatically
POST a token count to /v1/estimate with model o3-deep-research and get a priced breakdown back, promotions
already applied.