o3-pro
The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning.
text + image + file → text · made by OpenAI
Sold by 11 ways
| Seller | Lane | Rate |
|---|---|---|
| Microsoft Azure AI cloud | batch | $10per Mtok in$40per Mtok outraw.githubusercontent.com · read 2026-10-31 |
| Microsoft Azure AI cloud | standard | $20per Mtok in$80per Mtok outraw.githubusercontent.com · read 2026-10-31 |
| OpenAI api | standard | $20per Mtok in$80per Mtok outdevelopers.openai.com · read 2026-08-24 |
| Nous Research aggregatornot on the seller's list today | batch | $8per Mtok in$32per Mtok outinference-api.nousresearch.com · read 2026-08-25 |
| Nous Research aggregator | standard | $20per Mtok in$80per Mtok outinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter aggregatornot on the seller's list today | batch | $10per Mtok in$40per Mtok outopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | standard | $20per Mtok in$80per Mtok outopenrouter.ai · read 2026-08-24 |
| ElectronHub 0 ways | $20per Mtok in$80per Mtok out | |
| ElectronHub aggregatornot on the seller's list today | standard | $20per Mtok in$80per Mtok outapi.electronhub.ai · read 2026-10-18 |
| Requesty aggregator | openai | $20per Mtok in$80per Mtok out$20per Mtok cachedrouter.requesty.ai · read 2026-09-20 |
| Requesty aggregatornot on the seller's list today | openai-responses | $20per Mtok in$80per Mtok out$20per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| Vercel AI Gateway aggregator | standard | $20per Mtok in$80per Mtok outai-gateway.vercel.sh · read 2026-08-25 |
Measured 14 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 3rdof 69 | Aider polyglot coding leaderboard | Percent correct (high) | 84.9 |
| 3rdof 72 | Aider polyglot — Epoch AI | Percent correct (high) | 84.9 |
| 5thof 42 | Fictionlivebench — Epoch AI | 120k token score (medium) | 0.889 |
| 5thof 49 | Lech mazur writing — Epoch AI | Mean score (medium) | 8.44 |
| 54thof 173 | Weirdml — Epoch AI | Accuracy (high) | 58.21 |
| 104thof 235 | Dtbench — Epoch AI | Accuracy (high) | 86.93 |
| 109thof 111 | Vectara Hallucination Leaderboard | Hallucination Rate | 23.3 |
| 113thof 197 | Lmca — Epoch AI | Score (high) | 38.48 |
| 171stof 273 | ARC-AGI-1 (Public Eval) | Score (%) (high) | 63.34 |
| 172ndof 298 | ARC-AGI-1 (Semi-Private) | Score (%) (high) | 59.33 |
| 183rdof 309 | Arc agi — Epoch AI | Score (high) | 59.33 |
| 190thof 282 | ARC-AGI-2 (Public Eval) | Score (%) (high) | 3.89 |
| 194thof 298 | ARC-AGI-2 (Semi-Private) | Score (%) (high) | 4.86 |
| 197thof 290 | Arc agi 2 — Epoch AI | Score (high) | 4.86 |
About
o3-pro — a text model from OpenAI, sold by 6 companies from $20 in and $80 out per million tokens, placed 3rd of 72 on Aider polyglot — Epoch AI.
It takes text, images and files and returns text, with a context window of 200,000 tokens. It was published in June 2024, trained on material up to May 2024. Its sellers say it can reason step by step and call a tool. The catalogue files it under extract, reasoning and code. Six companies sell it. The cheapest is $20 in and $80 out per million tokens at Microsoft Azure AI. Beside the standard rate there are batch and separately routed lanes. It has been measured on 14 boards, and stands best at 3rd of 72 on Aider polyglot — Epoch AI.
Every current figure
- Maker
- OpenAI
- Register
- model
- Takes
- text + image + file
- Returns
- text
- Context
- 200,000 tokens
- Longest answer
- 100,000 tokens
- Published
- June 2024
- Knowledge to
- May 2024
- Licence
- not read
- Sellers
- 6
- Price
- $20 in and $80 out per million tokens — Microsoft Azure AI
- Boards
- 14
- Best place
- 3rd of 72 — Aider polyglot — Epoch AI
Known as 5 names
o3-pro (high)openai/o3-proopenai/o3-pro:batchopenai-responses/o3-proOpenAI: o3 Pro (batch)