ASI:One Mini
Efficient reasoning model for everyday agent workflows and Web3 applications.
Overview
ASI:One Mini is a streamlined reasoning model engineered for everyday agent discovery and routine automation tasks. It focuses on speed, simplicity, and resource-efficient deployment—the perfect engine for chatbots, scheduling agents, customer-support flows, and light on-chain utilities.
Performance Specifications
| Metric | ASI:One Mini |
|---|---|
| MMLU Benchmark | 85% |
| Context Window | 32K tokens |
| Typical Latency | ~350ms / 1K tokens |
| Ideal For | Everyday agent workflows, chatbots, scheduling agents |
Key Features
⚡ Fast Deployment
Optimized for speed and efficiency, perfect for real-time applications requiring quick responses.
🧠 Smart Reasoning
Optimized for short reasoning chains: summarization, classification, calendar management, and quick contract checks.
🔧 Tool Integration
Excellent function calling capabilities for agent discovery and tool orchestration.
🛡️ Built-in Safety
Integrated safety filters and guardrails for secure operation in production environments.
Typical Use Cases
| Domain | How ASI:One Mini Excels |
|---|---|
| Customer Support Bots | Resolves tickets, provides FAQ answers, escalates only when necessary |
| Scheduling Agents | Parses natural language intents, coordinates calendars, handles conflicts |
| E-commerce Assistance | Product classification, recommendations, and description generation |
| Web3 Utilities | Light contract analysis, security checks, and gas optimization suggestions |
| Data Processing | Email/message triage and routing to specialized downstream agents |
| Voice Assistants | Translates commands into structured API calls with ultra-low latency |
API Usage Example
from openai import OpenAI
client = OpenAI(
api_key="YOUR_ASI_ONE_API_KEY",
base_url="https://api.asi1.ai/v1"
)
response = client.chat.completions.create(
model="asi1-mini",
messages=[
{"role": "user", "content": "Summarize the key benefits of blockchain technology"}
],
temperature=0.7,
max_tokens=1000
)
print(response.choices[0].message.content)
Trust & Transparency
| Capability | Detail |
|---|---|
| Reasoning Traces | Returns concise reasoning steps with clear provenance |
| Low Hallucination | ≤ 1.2% unsupported claims in everyday domains |
| Security Awareness | Identifies common Web3 security risks and suggests mitigations |
Related Models
- ASI:One Fast - Ultra-low latency variant for real-time applications
- ASI:One Extended - Enhanced reasoning for complex analysis
- ASI:One Agentic - Autonomous agent discovery and orchestration
Ready to get started? Check out our Quick Start guide or explore OpenAI compatibility for easy integration.