OpenAI O1-Mini Language Model
The OpenAI O1-Mini Language Model offers a compact and highly efficient solution for fast responses and reliable instruction following.
🚀Function Overview
A compact, cost-efficient language model built for real-time, high-throughput applications like chatbots, coding tools, and document processing with strong reasoning and formatting capabilities.
Key Features
- Fast responses for latency-sensitive applications
- Reliable instruction-following and output formatting
- Supports 1 million token context for large documents
- Optimized for production-scale deployment with lower compute cost
- High accuracy on core NLP tasks
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 summarization
- •Fast inference pipelines with compute constraints
⚙️Input Parameters
prompt
stringThe prompt to send to the model. Do not use if using messages.
max_completion_tokens
integerMaximum number of completion tokens to generate
💡Usage Examples
Example 1
Input Parameters
{ "prompt": "A train leaves City A for City B at 60 miles per hour. Another train leaves City B for City A at 90 miles per hour on the same track. The cities are 300 miles apart. If both trains leave at the same time, how far from City A will they meet? Be succint, show your steps, but don't use LaTeX in your answer.", "max_completion_tokens": 4096 }
Output Results
Quick Actions
Technical Specifications
- Hardware Type
- Run Count
- 128
- Commercial Use
- Supported
- Pricing
- Priced by multiple properties
- Platform
- Replicate
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