o3 Deep Research
VerifiedAdvanced multimodal model for in-depth research across images, text, and files.
About o3 Deep Research
o3 Deep Research features a large context window that enables handling of extensive documents and multiple media sources in a single session. Its multimodal design allows seamless integration of visual and textual information. As a proprietary model from OpenAI, it remains closed-source with no public parameter details.
The model excels in scenarios requiring sustained analysis of combined image and document inputs. Users can upload files alongside images to explore interconnected topics without losing context. This makes it suitable for professional research workflows that demand careful cross-referencing of varied materials.
Capabilities
How o3 Deep Research compares
o3 Deep Research (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · o3 Deep Research ranks #101 of 110
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Academic Literature Synthesis
Processes lengthy research papers alongside charts and figures to generate integrated summaries and identify cross-document connections.
Business Intelligence Reports
Analyzes extended financial documents combined with graphs and images to produce detailed trend evaluations and scenario comparisons.
Technical Documentation Review
Handles large multimodal codebases and system diagrams to extract insights, flag inconsistencies, and suggest improvements across extensive materials.
Strengths & limitations
Strengths
- +Strong at handling extensive contexts and multiple documents
- +Seamlessly combines visual and textual inputs
- +Well-suited for in-depth research and analysis tasks
- +Effective integration of file-based data
Limitations
- –Restricted to image, text, and file modalities only
- –Output quality depends heavily on input clarity and completeness
- –Lacks native real-time information retrieval
Cost calculator
Estimate what o3 Deep Research would cost for your usage.
Based on o3 Deep Research's $10.00/1M input · $40.00/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "openai/o3-deep-research",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/o3-deep-research
Editor's verdict
o3 Deep Research is OpenAI's proprietary multimodal with a 200K-token context window.
At $40.00 per 1M output tokens, it is premium-priced for its class.
It is available through OpenAI's API and aggregators like OpenRouter.
Best suited to strong at handling extensive contexts and multiple documents and seamlessly combines visual and textual inputs.
Frequently asked questions
The model provides a context window of 200000 tokens for handling extended inputs.
User reviews
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