Readme
OpenAI o1-mini is a compact, cost-efficient model built on the o1 architecture, designed to bring the intelligence of frontier models to real-time, latency-sensitive, and high-throughput applications. It offers fast responses, strong reasoning, and reliable formatting, making it ideal for production-grade assistants, coding tools, and document processing at scale.
β‘οΈ Key Capabilities
- Compact and responsive: Built for speed-critical tasks
- High accuracy on core NLP tasks, with reliable outputs
- Supports 1M token context (API) for large document/code understanding
- Instruction-following and formatting fidelity for structured workflows
- Optimized for production-scale deployment with lower compute cost
π Benchmark Highlights
SWE-bench Verified (Coding): 35% MultiChallenge (Instruction): 41% IFEval (Format Compliance): 86% Aider Diff Format Accuracy: 49% MMMU (Vision QA): 75%
π§βπ» Use Cases
- Lightweight virtual assistants and customer-facing bots
- Code suggestion, completion, and inline diffing
- Structured Q&A over long documents or API docs
- High-volume email, ticket, or content summarization
- Fast inference pipelines with compute constraints
π§ Developer Notes
- Model name:
o1-mini
- Available via OpenAI API and included in ChatGPT Pro
- Supports function calling, streaming, tool use, and system instructions
- Context window: 1 million tokens (API), 128k tokens (ChatGPT)
- Balanced for speed, cost, and quality
π‘ Why o1-mini?
- Production-ready: Trusted for real-world latency-sensitive applications
- Cost-effective: Substantially cheaper than o1 or GPT-4o
- Reliable formatting: Great for diffs, tables, and structured outputs
- Smart enough for tough tasks, fast enough for scale