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o1

OpenAI/Proprietary/1 provider

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.More

Which id to call

openai/o1

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

From /1M input

$15.00

OpenAI Inc.

Context

200K

100K output

Endpoints

4

1 region

Regions

1

chat

Capabilities 5/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

4 endpoints / 1 region

Providers serving o1

Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.

Providers serving o1, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1OpenAI Inc.Global200K$15.00$60.00$7.50no-train
2OpenAI Inc.Global200K$15.00$60.00$7.50no-train
3OpenAI Inc.Global200K$15.00$60.00$7.50no-train
4OpenAI Inc.Global200K$15.00$60.00$7.50no-train

A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.

model=

Which id to call

One base url, https://router.requesty.ai/v1, and one key for every id here.

openai/o1

This model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.

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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)

Artificial Analysis

Benchmark scores

Coding Indexcoding
39.7%

Artificial Analysis Coding Index: a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
74.7%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
15.2%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from artificialanalysis.ai. They measure the model, not the provider, so they are the same on every endpoint above.

6

More from OpenAI

Reference

o1 questions

Which providers serve o1?

o1 is available from 1 provider through Requesty: OpenAI Inc.. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.

How much does o1 cost?

Pricing starts at $15.00 per million input tokens and $60.00 per million output tokens on OpenAI Inc., the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

Is o1 open weights?

No. o1 is a proprietary model from OpenAI, served through OpenAI's own API and licensed cloud platforms.

What is the context window of o1?

o1 supports up to 200K tokens of context, with up to 100K output tokens per response. Some providers expose a smaller window; check the per-endpoint context column above.

How do I use o1 with the OpenAI SDK?

Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "openai/o1" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

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.

Benchmark rankings