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o3-deep-research

O3 Deep Research is a premium OpenAI model tuned for long-context research and high-recall reasoning tasks, optimized for analytical depth.

👁Vision🧠Reasoning🔧Tool calling⚡Caching
Try o3-deep-researchCompareDocs

Specifications

Context window100K tokens
Max output200K tokens
API typechat
AddedJul 17, 2025
Model IDopenai/o3-deep-research
Data retentionYes (30 days)
Used for trainingNo
Provider location🇺🇸 US
Privacy policyOpenAI Privacy Policy →

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the OpenAI Inc. models overview.

Pricing

Input / 1M
$10.00
Output / 1M
$40.00
Cache write / 1M
$10.00
Cache read / 1M
$2.50
Estimated cost
100K input + 10K output$1.40
1M input + 100K output$14.00
10M input + 1M output$140.00

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/o3-deep-research.

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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-deep-research",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

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Frequently asked questions

How much does o3-deep-research cost?
o3-deep-research is priced at $10.00 per million input tokens and $40.00 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of o3-deep-research?
o3-deep-research has a context window of 100K tokens, with a maximum output of 200K tokens per response. That's roughly 133 words of input you can fit in a single prompt.
What can o3-deep-research do?
o3-deep-research supports vision input, tool calling, extended reasoning, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use o3-deep-research 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-deep-research". The Quickstart above shows Python, JavaScript and cURL snippets.

Access o3-deep-research 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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