OpenAI O3 Mini, developed by OpenAI, features 200k-token context window. OpenAI o3-mini is a cost-efficient language model optimised for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning_effort` parameter, which can be set to "high", "medium", or "low" to control the thinking time of the model. The default is "medium". OpenRouter also offers the model slug `openai/o3-mini-high` to default the parameter to "high". The model features three adjustable reasoning effort levels and supports key developer capabilities including function calling, structured outputs, and streaming, though it does not include vision processing capabilities. The model demonstrates significant improvements over its predecessor, with expert testers preferring its responses 56% of the time and noting a 39% reduction in major errors on complex questions. With medium reasoning effort settings, o3-mini matches the performance of the larger o1 model on challenging reasoning evaluations like AIME and GPQA, while maintaining lower latency and cost. Premium pricing at $1.1/1M tokens reflects its advanced capabilities.
Visit OpenAI: o3 MiniAI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Openai Model Timeline
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Specifications
AI Evaluation
A premium coding model delivering professional-grade software engineering assistance. Strong on complex projects, debugging, and code architecture.
Pros
- 200k token context window
- Strong code generation and debugging
- Advanced logical reasoning
- Image and visual analysis
Cons
- Moderate API costs
- May lack creative flair
- Speed/quality trade-off
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