OpenAI o1-mini
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The OpenAI o1 series models are specifically designed to tackle reasoning and problem-solving tasks with increased focus and capability. These models spend more time processing and understanding the user's request, making them exceptionally strong in areas like science, coding, math and similar fields. For example, o1 can be used by healthcare researchers to annotate cell sequencing data, by physicists to generate complicated mathematical formulas needed for quantum optics, and by developers in all fields to build and execute multi-step workflows.
o1-mini is developed to provide a faster, cheaper reasoning model that is particularly effective at coding. As a smaller model, o1-mini is 80% cheaper than o1-preview, making it a powerful, cost-effective model for applications that require reasoning but not broad world knowledge.
Note: Configurable content filters are currently not available for o1-preview and o1-mini.
IMPORTANT: o1-mini model is available for limited access. To try the model in the playground, registration is required, and access will be granted based on Microsoft’s eligibility criteria.
- Complex Code Generation: Capable of generating algorithms and handling advanced coding tasks to support developers.
- Advanced Problem Solving: Ideal for comprehensive brainstorming sessions and addressing multifaceted challenges.
- Complex Document Comparison: Perfect for analyzing contracts, case files, or legal documents to identify subtle differences.
- Instruction Following and Workflow Management: Particularly effective for managing workflows requiring shorter contexts.
- o1-preview: The most capable model in the o1 series, offering enhanced reasoning abilities.
- o1-mini: A faster and more cost-efficient option in the o1 series, ideal for coding tasks requiring speed and lower resource consumption.
o1-mini model is currently in preview and do not include some features available in other models, such as image understanding and structured outputs found in the GPT-4o and GPT-4o-mini models. For many tasks, the generally available GPT-4o models may still be more suitable.