Question 1

What is o4-mini and what is it used for?

Accepted Answer

o4-mini is OpenAI's fast, lightweight reasoning model optimized for high-throughput tasks. It excels at mathematics, code generation, and visual reasoning. It is ideal for developers who need accurate, structured AI outputs at low latency and cost, including debugging, refactoring code, interpreting charts, and running multi-step agentic workflows.

Question 2

How does o4-mini perform on math benchmarks?

Accepted Answer

o4-mini achieves 92.7% on AIME 2025 without tools and a perfect 100% consensus@8 score with tools enabled. This places it among the top-performing AI models on competitive mathematics benchmarks, making it a strong choice for applications requiring advanced numerical and analytical reasoning.

Question 3

What is o4-mini's score on SWE-Bench Verified?

Accepted Answer

o4-mini scores 68.1% on SWE-Bench Verified, a benchmark measuring real-world software engineering capability. This score reflects strong performance in debugging, code refactoring, and generating production-ready code, making it a reliable model for developer-focused applications and automated software engineering tasks.

Question 4

Does o4-mini support image and visual inputs?

Accepted Answer

Yes, o4-mini supports multimodal image input. It achieves 81.6% on MMMU and 72.0% on MathVista benchmarks, enabling it to interpret charts, diagrams, screenshots, and visual documents. This makes it suitable for tasks that combine textual reasoning with visual data analysis.

Question 5

How does o4-mini compare to larger OpenAI models?

Accepted Answer

o4-mini is designed as a lightweight, cost-efficient alternative to larger OpenAI reasoning models. While it may not match the largest models on every task, it delivers competitive benchmark scores—especially in math and coding—at significantly lower latency and cost, making it ideal for scalable, high-volume production applications.

Question 6

Can o4-mini be used for agentic AI workflows?

Accepted Answer

Yes, o4-mini natively supports agentic tool use, including web browsing, Python code execution, and image generation tools. This allows it to handle complex multi-step workflows within a single model call, making it well-suited for autonomous AI agents and automated pipelines on platforms like CRAISEE.

Question 7

What APIs does o4-mini support for structured output?

Accepted Answer

o4-mini is compatible with OpenAI's Chat Completions API and Responses API. It supports function calling and schema-based structured outputs, allowing developers to integrate it into applications that require predictable, machine-readable responses for automation, data extraction, and workflow orchestration.

Question 8

Where can I run o4-mini?

Accepted Answer

o4-mini is available on CRAISEE, powered by Replicate as the underlying provider. CRAISEE offers o4-mini as its recommended option for structured, accurate reasoning with minimal latency, supporting developers and creators who need reliable AI at scale without high infrastructure costs.

o4-mini - AI Model Guide