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o3-pro

OpenAI Responses/🇺🇸 US/chat

The o3 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
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Which id to call

openai-responses/o3-pro

This exact deployment on OpenAI Responses, with no routing and no failover. Send it as the model field.

Input /1M

$20.00

OpenAI Responses

Output /1M

$80.00

4.0x input

Context

200K

100K output

Added

Jun 2025

chat

Capabilities 5/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What o3-pro costs

Provider prices per 1M tokens, updated September 8, 2026.more

These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.

Input /1M

$20.00

Output /1M

$80.00

Cache write /1M

-

Cache read /1M

-

What a workload costs

100K input + 10K output
$2.80
1M input + 100K output
$28.00
10M input + 1M output
$280.00

At the rates above. This endpoint does not offer prompt caching, so repeated context is billed as new input every time.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to openai-responses/o3-pro. 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-responses/o3-pro", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Reference

Specs and data terms

What the catalog reports for this deployment, and what the provider does with the traffic.

Context window200K tokens
Max output100K tokens
API typechat
AddedJun 2025
Model id
Data retentionYes, 30 days
Used for trainingNo
Served from🇺🇸 US

Released 2025-06-10

Benchmark scores

Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.

GPQA Diamondreasoning
84.5%

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

Intelligence Indexreasoning
25.7%

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

Scores from official model cards, Artificial Analysis and public leaderboards. They measure specific skills and do not capture every aspect of model quality, so test on your own workload.

Same provider

More from OpenAI Responses

Newest first, on the same provider and the same key.

Reference

o3-pro questions

How much does o3-pro cost?

o3-pro is priced at $20.00 per million input tokens and $80.00 per million output tokens when accessed via Requesty. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

What is the context window of o3-pro?

o3-pro has a context window of 200K tokens, with a maximum output of 100K tokens per response. That's roughly 267 words of input you can fit in a single prompt.

How does o3-pro perform on benchmarks?

o3-pro scores 84.5% on GPQA Diamond, 25.7% on Intelligence Index. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.

What can o3-pro do?

o3-pro supports vision input, tool calling, extended reasoning, web search, structured outputs (JSON schema). You can call it through any OpenAI-compatible client by pointing base_url to Requesty.

How do I use o3-pro 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-responses/o3-pro". The Quickstart above shows Python, JavaScript and cURL snippets.

Can I run o3-pro through Requesty?

Yes. o3-pro runs through Requesty's OpenAI-compatible API, served from OpenAI Responses. You do not host the model yourself: point base_url at Requesty, set the model to "openai-responses/o3-pro", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

Call o3-pro through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.