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OpenAI Responses

o3-pro

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.

VisionReasoningTool callingWeb searchJSON schema
Try o3-proCompareDocs

Specifications

Context window200K tokens
Max output100K tokens
API typechat
AddedJun 11, 2025
Model IDopenai-responses/o3-pro
Data retentionYes (30 days)
Used for trainingNo
Provider location🇺🇸 US
Privacy policyOpenAI Privacy Policy→

Benchmarks

Released 2025-06-10
GPQA Diamondreasoning
84.5%

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

Intelligence Indexreasoning
40.7%

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

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality — always test on your own workload.

Pricing

Input / 1M
$20.00
Output / 1M
$80.00
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$2.80
1M input + 100K output$28.00
10M input + 1M output$280.00

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to openai-responses/o3-pro.

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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)

Other OpenAI Responses models

gpt-5.5
1.1M ctx$5.00/1M
Coding 59
gpt-5.5-pro
1.1M ctx$30.00/1M
gpt-5.3-chat
128K ctx$1.75/1M
gpt-5.4-mini
400K ctx$0.75/1M
Coding 52
gpt-5.4-nano
400K ctx$0.20/1M
Coding 44
gpt-5.4
1.1M ctx$2.50/1M
Coding 57

Frequently asked 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. Requesty charges exactly what the upstream provider charges — we don't add markup.
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, 40.7% 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.

Access o3-pro through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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