OpenAI model
o1-pro API cost calculator
o1-pro costs $150 per 1M input tokens and $600 per 1M output tokens on the OpenAI API, with a 200K-token context window. A typical request (2K input, 500 output tokens) costs $0.60 — about $18,000/month at 1,000 requests per day. Use the calculator below to model your exact workload.
Find me a cheaper modelWhat real workloads cost on o1-pro
| Workload | Tokens (in / out) | Per request | Per 1K requests |
|---|---|---|---|
| Chatbot message | 500 / 300 | $0.26 | $255 |
| RAG query with context | 4,000 / 500 | $0.90 | $900 |
| Document summarization | 20,000 / 1,000 | $3.60 | $3,600 |
| Agent coding session | 100,000 / 5,000 | $18.00 | $18,000 |
o1-pro vs other OpenAI models
| Model | Input /1M | Output /1M | Context |
|---|---|---|---|
| o1-pro | $150 | $600 | 200K |
| GPT-5.6 Luna Pro | $0.20 | $1.20 | 1.1M |
| GPT-5.6 Luna | $0.20 | $1.20 | 1.1M |
| GPT-5.6 Terra Pro | $2 | $12 | 1.1M |
| GPT-5.6 Terra | $2 | $12 | 1.1M |
Frequently asked questions
How much does o1-pro cost per 1M tokens?
According to current pricing data, o1-pro costs $150 per 1M input tokens and $600 per 1M output tokens. Processing 1M tokens each way costs $750.
What does a typical API request to o1-pro cost?
A typical request with 2,000 input tokens and 500 output tokens costs $0.60. At 1,000 requests per day that is $600 daily, or about $18,000 per month.
What is o1-pro's context window?
o1-pro supports a 200K-token context window (200,000 tokens).
Does o1-pro support prompt caching?
No cache-read pricing is published for o1-pro, so every input token is billed at the full $150 per 1M rate.
What is a cheaper alternative to o1-pro?
Ling-2.6-flash from Inclusionai is currently the cheapest comparable option at $0.01 per 1M input tokens versus $150 for o1-pro — roughly 15000x cheaper on input.
Prices may differ from OpenAI's official pricing page for batch, tiered, or fine-tuned usage. Compare all current prices on the live model pricing dashboard, see o1-pro vs Ling-2.6-flash pricing, or run o1-pro head-to-head against other models in the side-by-side comparison playground.
Pricing data via the OpenRouter models API.