What is OpenAI o4-mini (200k)?
OpenAI o4-mini (200k) is a faster, cost-efficient reasoning model and successor to o3-mini developed by OpenAI. It was released in 2025-04 and features a context window of 200K tokens. Its key features include: Faster and cost-efficient reasoning, Vision capabilities ('thinks with images'), Autonomous tool use (web browsing, Python, file handling, image generation), 200K token context window, Successor to o3-mini. It is designed for use cases such as: Advanced coding projects, Mathematical and scientific problem solving, Image analysis and understanding, AI agent workflows, Interactive applications.
What are the typical use cases for OpenAI o4-mini (200k)?
OpenAI o4-mini (200k) is well-suited for tasks like: Advanced coding projects, Mathematical and scientific problem solving, Image analysis and understanding, AI agent workflows, Interactive applications.
What is the context window size for OpenAI o4-mini (200k)?
The context window for OpenAI o4-mini (200k) is 200K tokens.
How much does o4-mini cost?
OpenAI o4-mini costs $1.10 per million input tokens and $4.40 per million output tokens.
What makes o4-mini special with vision capabilities?
o4-mini features vision capabilities that allow it to 'think with images'. This means it can process and reason about visual content, making it suitable for image analysis, visual problem solving, and understanding complex visual data.
Can o4-mini use tools autonomously?
Yes, o4-mini features autonomous tool use capabilities including web browsing, Python code execution, file handling, and image generation. This makes it suitable for building AI agents and complex automated workflows.
How does o4-mini compare to o3-mini?
o4-mini is the successor to o3-mini with several key improvements: enhanced vision capabilities that allow 'thinking with images', autonomous tool use capabilities, and more advanced reasoning. While maintaining cost efficiency, it offers significantly more capabilities than o3-mini.
Is o4-mini good for AI agent development?
Yes, o4-mini is specifically designed for AI agent workflows. Its combination of reasoning capabilities, vision processing, and autonomous tool use makes it excellent for building sophisticated AI agents that can interact with various systems and data types.
Can o4-mini handle scientific problem solving?
Yes, o4-mini excels at mathematical and scientific problem solving, combining its reasoning capabilities with vision processing and tool use to tackle complex scientific challenges.
How can I access OpenAI o4-mini (200k)?
Information on accessing OpenAI o4-mini (200k) can typically be found on the provider's website: https://openai.com/o4
What is the training data cutoff for o4-mini?
The training data cutoff for OpenAI o4-mini is Early 2025.