o1
o1 is OpenAI's flagship reasoning model, designed for complex problems that require deep thinking.
text + image + file → text · made by OpenAI
$15→$60per Mtok in / out
OpenAI · 8 sellers
Sold by 15 ways
| Seller | Lane | Rate |
|---|---|---|
| Microsoft Azure AI cloud | batch | $7.5per Mtok in$30per Mtok outprices.azure.com · read 2026-08-24 |
| OpenAI api | batch | $7.5per Mtok in$30per Mtok outdevelopers.openai.com · read 2026-08-24 |
| DigitalOcean cloud | standard | $15per Mtok in$60per Mtok out$7.5per Mtok cachedmodels.dev · read 2026-09-16 |
| Microsoft Azure AI cloud | standard | $15per Mtok in$60per Mtok out$7.5per Mtok cachedmodels.dev · read 2026-09-16 |
| 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 aggregator | standard | $15per Mtok in$60per Mtok outapi.electronhub.ai · read 2026-09-16 |
| Vercel AI Gateway aggregator | standard | $15per Mtok in$60per Mtok out$7.5per Mtok cachedai-gateway.vercel.sh · read 2026-08-25 |
Measured 31 standings
| Place | Board | Metric | Score |
|---|---|---|---|
| 2ndof 8 | Spatialviz bench — Epoch AI | Overall score | 0.414 |
| 3rdof 262 | MMLU-Pro | Overall (accuracy) | 89.3 |
| 4thof 15 | Cad eval — Epoch AI | Overall pass (%) (medium) | 0.56 |
| 5thof 54 | Live bench — Epoch AI | Global average (high) | 75.67 |
| 9thof 10 | Humanity's Last Exam | Accuracy (%) | 8 |
| 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 |
| 31stof 50 | Metr time horizons — Epoch AI | average_score (medium) | 0.511 |
| 35thof 51 | Humanity's Last Exam (Epoch AI replication) | Accuracy | 7.96 |
| 37thof 80 | Simpleqa verified — Epoch AI | mean_score (high) | 41.1 |
| 40thof 49 | Lech mazur writing — Epoch AI | Mean score (medium) | 7.02 |
| 58thof 101 | FrontierMath (Tiers 1-3) | mean_score (high) | 9.31 |
| 64thof 65 | Apex agents — Epoch AI | Pass@1 score (high) | 0.011 |
| 68thof 102 | Simplebench — Epoch AI | Score (AVG@5) | 0.417 |
| 77thof 170 | Weirdml — Epoch AI | Accuracy | 47.56 |
| 82ndof 161 | Dtbench — Epoch AI | Accuracy (high) | 74.67 |
| 82ndof 152 | LMArena · Vision | Score (Elo) | 1193 |
| 84thof 123 | Lmca — Epoch AI | Score (high) | 22.27 |
| 90thof 106 | Frontiermath tiers 1 3 v2 — Epoch AI | mean_score (high) | 14.737 |
| 106thof 222 | Chess puzzles — Epoch AI | mean_score (high) | 15 |
| 113thof 184 | Artificial Analysis · Coding Index | Index | 39.7 |
| 122ndof 290 | OTIS Mock AIME 2024-2025 | mean_score (high) | 73.333 |
| 142ndof 313 | GPQA Diamond | mean_score (high) | 76.768 |
| 145thof 402 | LMArena · Text | Score (Elo) | 1402 |
| 182ndof 244 | Arc agi — Epoch AI | Score (medium) | 30.7 |
| 390thof 656 | Epoch capabilities index — Epoch AI | ECI Score (high) | 141.9 |
About
o1 — a text model from OpenAI, sold by 8 companies from $15 in and $60 out per million tokens, placed 3rd of 262 on MMLU-Pro.
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. Eight 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 31 boards, and stands best at 3rd of 262 on MMLU-Pro.
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
- 8
- Price
- $15 in and $60 out per million tokens — DigitalOcean
- Boards
- 31
- Best place
- 3rd of 262 — MMLU-Pro
Known as 9 names
o1-2024-12-17 (high)GPT-o1o1 1217openai/o1openai/o1:batchopenai/o1:highopenai/o1:lowopenai/o1:mediumOpenAI: o1 (batch)