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o3-mini

OpenAI/Proprietary/1 provider

o3-mini is OpenAI's most recent small reasoning model, providing high intelligence at the same cost and latency targets of o1-mini. o3-mini also supports key developer features, like Structured Outputs, function calling, Batch API, and more. Like other models in the o-series, it is designed to excel at science, math, and coding tasks.More

Which id to call

openai/o3-mini

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

$1.10

OpenAI Inc.

Context

200K

100K output

Endpoints

4

1 region

Regions

1

chat

Capabilities 4/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

4 endpoints / 1 region

Providers serving o3-mini

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

Providers serving o3-mini, with pricing and measured performance. The best value in each column is highlighted.
RankPrivacy
1OpenAI Inc.Global200K$1.10$4.40$0.55no-train
2OpenAI Inc.Global200K$1.10$4.40$0.55no-train
3OpenAI Inc.Global200K$1.10$4.40$0.55no-train
4OpenAI Inc.Global200K$1.10$4.40$0.55no-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/o3-mini

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/o3-mini", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Artificial Analysis

Benchmark scores

GPQA Diamondreasoning
74.8%

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

Intelligence Indexreasoning
12.5%

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

o3-mini questions

Which providers serve o3-mini?

o3-mini 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 o3-mini cost?

Pricing starts at $1.10 per million input tokens and $4.40 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 o3-mini open weights?

No. o3-mini is a proprietary model from OpenAI, served through OpenAI's own API and licensed cloud platforms.

What is the context window of o3-mini?

o3-mini 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 o3-mini 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/o3-mini" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.

Route o3-mini 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