OpenAI: o4 Mini Deep Research Model

Tackle complex research tasks with text and image inputs.

Input: file · image · text Output: text Context: 200,000 tokens Release: 2025-10-10

Discover the OpenAI: o4 Mini Deep Research model, released on October 10, 2025. This model is designed for handling complex, multi-step research tasks with its extensive context window of 200,000 tokens. It supports text and image inputs, delivering text outputs, making it versatile for various research needs. Whether you're dealing with large datasets or intricate research queries, this model's capabilities can assist you in navigating and analyzing information effectively. With features like frequency penalty and reasoning inclusion, it offers customizable outputs tailored to your specific requirements.

Use Cases

Here are a few ways teams apply OpenAI: o4 Mini Deep Research in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.

Analyze large datasets efficiently

Conduct detailed multi-step research

Generate comprehensive text reports

Customize outputs for specific research needs

Navigate intricate research queries

Key Features

A quick look at the capabilities that make this model useful in real projects.

Handles complex, multi-step research tasks

Supports text and image inputs for text outputs

Extensive context window of 200,000 tokens

Customizable with parameters like frequency penalty

Includes reasoning and structured outputs

Specs

Overview

Vendor
openai

Model ID
openai/o4-mini-deep-research

Release
2025-10-10

Modalities & context

Input
file · image · text

Output
text

Context
200,000 tokens

Parameters & defaults

Supported parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p

Defaults: temperature 0.2, top_p 0.95

Benchmark tests: OpenAI: o4 Mini Deep Research

We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.

Text

Prompt:

Write 150 words on how AI might positively upend work, leisure and creativity

The OpenAI o4 Mini Deep Research model is designed for advanced natural language processing tasks, offering capabilities in text generation, summarization, and contextual understanding. It is suitable for applications in academic research, content creation, and data analysis, allowing users to generate coherent and contextually relevant text based on input prompts. The model is optimized for efficiency, enabling quicker response times while maintaining a high level of accuracy in language comprehension. Notable constraints include a limited context window, which may affect its ability to process very long documents in a single interaction. Additionally, while the model is trained on a diverse dataset, it may still reflect biases present in the training data. Users are advised to validate the output for critical applications and ensure ethical use in accordance with relevant guidelines.

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Image

Prompt:

Generate an SVG of a pelican riding a bicycle.

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up.end

/ˌəpˈend/

verb

To “upend” means to completely disrupt, overturn, or drastically change the established order or structure of something. It implies a significant shift or alteration that can potentially have far-reaching consequences. When something is upended, it is turned upside down or transformed in a way that challenges conventional norms or expectations. The term often carries a sense of innovation, transformation, and sometimes even a hint of upheaval, indicating that the changes are not just minor adjustments but rather a fundamental reimagining of the status quo.

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