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.

⚡️ 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

📊 Benchmark Highlights

SWE-bench Verified (Coding):        35%
MultiChallenge (Instruction):       41%
IFEval (Format Compliance):         86%
Aider Diff Format Accuracy:         49%
MMMU (Vision QA):                   75%

🧑‍💻 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

🔧 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

💡 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