o1
o1 is OpenAI's flagship reasoning model, designed for complex problems that require deep thinking.
text + image + file → text · made by OpenAI
Sold by 15 ways
| Seller | Lane | Rate |
|---|---|---|
| OpenAI api | batch | $7.5per Mtok in$30per Mtok outdevelopers.openai.com · read 2026-08-24 |
| Microsoft Azure AI cloud | batch | $8.25per Mtok in$33per Mtok outraw.githubusercontent.com · read 2026-10-31 |
| DigitalOcean cloud | standard | $15per Mtok in$60per Mtok out$7.5per Mtok cachedmodels.dev · read 2026-10-31 |
| Microsoft Azure AI cloud | standard | $15per Mtok in$60per Mtok out$7.5per Mtok cachedmodels.dev · read 2026-10-31 |
| OpenAI api | standard | $15per Mtok in$60per Mtok out$7.5per Mtok cacheddevelopers.openai.com · read 2026-08-24 |
| Nous Research aggregatornot on the seller's list today | batch | $6per Mtok in$24per Mtok out$3per Mtok cachedinference-api.nousresearch.com · read 2026-08-25 |
| Nous Research aggregator | standard | $15per Mtok in$60per Mtok out$7.5per Mtok cachedinference-api.nousresearch.com · read 2026-09-12 |
| OpenRouter aggregatornot on the seller's list today | batch | $7.5per Mtok in$30per Mtok out$3.75per Mtok cachedopenrouter.ai · read 2026-08-24 |
| OpenRouter aggregator | standard | $15per Mtok in$60per Mtok out$7.5per Mtok cachedopenrouter.ai · read 2026-08-24 |
| Requesty aggregatornot on the seller's list today | openai high | $13.5per Mtok in$54per Mtok out$6.75per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | openai low | $13.5per Mtok in$54per Mtok out$6.75per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregatornot on the seller's list today | openai medium | $13.5per Mtok in$54per Mtok out$6.75per Mtok cachedrouter.requesty.ai · read 2026-08-25 |
| Requesty aggregator | openai | $15per Mtok in$60per Mtok out$7.5per Mtok cachedrouter.requesty.ai · read 2026-08-28 |
| ElectronHub 0 ways | $15per Mtok in$60per Mtok out | |
| ElectronHub aggregatornot on the seller's list today | standard | $15per Mtok in$60per Mtok outapi.electronhub.ai · read 2026-10-18 |
| Vercel AI Gateway aggregator | standard | $15per Mtok in$60per Mtok out$7.5per Mtok cachedai-gateway.vercel.sh · read 2026-08-25 |
Measured 26 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 2ndof 8 | Spatialviz bench — Epoch AI | Overall score | 0.414 |
| 4thof 15 | Cad eval — Epoch AI | Overall pass (%) (medium) | 0.56 |
| 5thof 54 | Live bench — Epoch AI | Global average (high) | 75.67 |
| 17thof 108 | Math level 5 — Epoch AI | mean_score (high) | 94.713 |
| 18thof 22 | Cybench — Epoch AI | Unguided % Solved | 0.1 |
| 21stof 69 | Aider polyglot coding leaderboard | Percent correct (high) | 61.7 |
| 24thof 72 | Aider polyglot — Epoch AI | Percent correct (high) | 61.7 |
| 24thof 46 | Enigma eval — Epoch AI | Accuracy | 5.65 |
| 24thof 42 | Fictionlivebench — Epoch AI | 120k token score (medium) | 0.531 |
| 27thof 38 | Vpct — Epoch AI | Correct (medium) | 0.37 |
| 30thof 49 | Metr time horizons — Epoch AI | average_score (medium) | 0.511 |
| 40thof 56 | Humanity's Last Exam (Epoch AI replication) | Accuracy | 7.96 |
| 40thof 49 | Lech mazur writing — Epoch AI | Mean score (medium) | 7.02 |
| 48thof 93 | Simpleqa verified — Epoch AI | mean_score (high) | 41.1 |
| 58thof 101 | FrontierMath (Tiers 1-3) | mean_score (high) | 9.31 |
| 68thof 102 | Simplebench — Epoch AI | Score (AVG@5) | 0.417 |
| 80thof 173 | Weirdml — Epoch AI | Accuracy | 47.56 |
| 96thof 165 | LMArena · Vision | Score (Elo) | 1193 |
| 106thof 122 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (high) | 14.737 |
| 122ndof 154 | Chess puzzles — Epoch AI | mean_score (high) | 10 |
| 138thof 306 | OTIS Mock AIME 2024-2025 | mean_score (high) | 73.333 |
| 154thof 235 | Dtbench — Epoch AI | Accuracy (high) | 74.67 |
| 155thof 326 | GPQA Diamond | mean_score (high) | 76.768 |
| 156thof 414 | LMArena · Text | Score (Elo) | 1402 |
| 158thof 197 | Lmca — Epoch AI | Score (high) | 22.27 |
| 243rdof 309 | Arc agi — Epoch AI | Score (medium) | 30.7 |
About
o1 — a text model from OpenAI, sold by 7 companies from $15 in and $60 out per million tokens, placed 5th of 54 on Live bench — Epoch AI.
It takes text, images and files and returns text, with a context window of 200,000 tokens. It was published in 2024, trained on material up to September 2023. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning, code and agents. Seven companies sell it. The cheapest is $15 in and $60 out per million tokens at DigitalOcean. Beside the standard rate there are batch and separately routed lanes. It has been measured on 26 boards, and stands best at 5th of 54 on Live bench — 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
- 2024
- Knowledge to
- September 2023
- Licence
- not read
- Sellers
- 7
- Price
- $15 in and $60 out per million tokens — DigitalOcean
- Boards
- 26
- Best place
- 5th of 54 — Live bench — Epoch AI
Known as 9 names
o1-2024-12-17 (high)GPT-o1o1 1217openai/o1openai/o1:batchopenai/o1:highopenai/o1:lowopenai/o1:mediumOpenAI: o1 (batch)