o1OpenAI
- endpoints
- 4
- regions
- 1
- api
- chat
- released
- December 2024
capabilities 5/8
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  OpenAI Inc. | Global | 200K | $15.00 | $60.00 | $7.50 | no-train |
| 2 | OpenAI Inc. | Global | 200K | $15.00 | $60.00 | $7.50 | no-train |
| 3 | OpenAI Inc. | Global | 200K | $15.00 | $60.00 | $7.50 | no-train |
| 4 | OpenAI Inc. | Global | 200K | $15.00 | $60.00 | $7.50 | no-train |
no measured traffic for this model yet. the endpoints table above carries provider pricing
| eval | Score as a share of 100 | /100 |
|---|---|---|
| MMLU Pro | 84.1 | |
| GPQA Diamond | 74.7 | |
| LiveCodeBench | 67.9 | |
| τ²-Bench | 62.6 | |
| Coding Index | 39.7 | |
| Intelligence Index | 15.2 | |
| Terminal-Bench Hard | 12.9 | |
| Humanity's Last Exam | 7.0 | |
| 8 evals | mean | 45.5 |
Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2024-12-05.
openai/o1this model has no managed policy yet, so call the provider endpoint directly. every id in the endpoints table works the same way
Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.
from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1",) response = client.chat.completions.create( model="openai/o1", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ],) print(response.choices[0].message.content)
Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models
The o1 series of models are trained with reinforcement learning to perform complex reasoning. o1 models think before they answer, producing a long internal chain of thought before responding to the user. The o1 reasoning model is designed to solve hard problems across domains. The knowledge cutoff for o1 and o1-mini models is October, 2023.
questions 5
Which providers serve o1?
How much does o1 cost?
Is o1 open weights?
What is the context window of o1?
How do I use o1 with the OpenAI SDK?
more from openai 6
| model | context | from /M | providers |
|---|---|---|---|
| gpt-6-astra | 1.1M | $5.00 | 2 |
| gpt-5.6-luna | 1.1M | $0.10 | 3 |
| gpt-5.6-terra | 1.1M | $1.00 | 3 |
| gpt-5.6-sol | 1.1M | $2.50 | 3 |
| gpt-5.5-pro | 1.1M | $30.00 | 1 |
| gpt-5.5 | 1.1M | $2.50 | 3 |
route o1 through one endpoint
One key for 1 provider on this model and 600+ others. No markup on provider prices, automatic failover, caching built in. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology