OpenAI: o3 Deep Research API Pricing
Live token cost for OpenAI: o3 Deep Research from OpenAI. Use the figures below for budgeting, then tune your exact request mix in the interactive calculator. Prices refresh every 24 hours from OpenRouter.
Capabilities
OpenAI: o3 Deep Research cost at scale
Estimated monthly cost across common production volumes. Assumes 30-day months and the request shapes shown.
| Tier | Requests / day | In / out tokens | $ / month |
|---|---|---|---|
| Hobby | 1,000 | 500 / 200 | $390.00 |
| Startup | 10,000 | 1,500 / 500 | $10,500.00 |
| Growth | 100,000 | 3,000 / 800 | $186,000.00 |
| Enterprise | 1,000,000 | 8,000 / 2,000 | $4,800,000.00 |
| Enterprise (batch mode) | 1,000,000 | 8,000 / 2,000 | $2,400,000.00 |
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Frequently asked questions
How much does OpenAI: o3 Deep Research cost?
OpenAI: o3 Deep Research costs $10.00 per 1M input tokens and $40.00 per 1M output tokens, with cached input at $2.50 per 1M tokens. A typical 1,500-token in / 500-token out request costs $0.035.
Does OpenAI: o3 Deep Research support cached input?
Yes. OpenAI: o3 Deep Research supports prompt caching at $2.50 per 1M cached input tokens. Reuse the same system prompt or context across requests to cut input cost dramatically.
What is the OpenAI: o3 Deep Research context window?
OpenAI: o3 Deep Research supports a context window of 200,000 tokens (200K). Max output per response is 100,000 tokens.
What is OpenAI: o3 Deep Research good for?
OpenAI: o3 Deep Research is a good fit for general-purpose LLM tasks via the OpenAI API — chat, code, writing, summarization. For other use cases, run your specific input/output mix through the interactive calculator to compare against alternative models.