ASI:One Extended
Enhanced reasoning capabilities for complex analysis and deep audits.
Overview
ASI:One Extended is designed for applications requiring deep reasoning, complex analysis, and comprehensive audits. This model excels at multi-step reasoning, long-context understanding, and detailed analytical tasks where thoroughness is more important than speed.
Performance Specifications
| Metric | ASI:One Extended |
|---|---|
| MMLU Benchmark | 89% |
| Context Window | 64K tokens |
| Typical Latency | ~600ms / 1K tokens |
| Ideal For | Deep reasoning, complex analysis, multi-hop retrieval |
Key Features
🧠 Deep Reasoning
Advanced multi-step reasoning capabilities for complex problem-solving and comprehensive analysis.
📚 Large Context
64K token context window for processing extensive documents and long conversations.
🔍 Thorough Analysis
Comprehensive analytical capabilities for audits, research, and detailed investigations.
🎯 High Accuracy
89% MMLU benchmark performance for superior accuracy in complex reasoning tasks.
Typical Use Cases
| Domain | How ASI:One Extended Excels |
|---|---|
| Smart Contract Audits | Comprehensive security analysis and vulnerability detection |
| Research & Analysis | Deep investigation of complex topics with multi-source synthesis |
| Legal Document Review | Thorough analysis of contracts, compliance, and regulatory requirements |
| Technical Documentation | Detailed code review and architectural analysis |
| Financial Analysis | Complex market research and investment strategy development |
| Academic Research | Multi-hop reasoning across extensive literature and data sources |
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-extended",
messages=[
{"role": "user", "content": "Perform a comprehensive security audit of this smart contract and identify potential vulnerabilities: [contract code]"}
],
temperature=0.1, # Lower temperature for more analytical responses
max_tokens=2000
)
print(response.choices[0].message.content)
Advanced Capabilities
| Feature | Detail |
|---|---|
| Multi-Step Reasoning | Breaks down complex problems into logical steps with clear reasoning chains |
| Long-Context Processing | Maintains coherence across extensive documents and conversations |
| Detailed Analysis | Provides comprehensive insights with supporting evidence and rationale |
| Research Synthesis | Combines information from multiple sources into coherent conclusions |
Trust & Transparency
| Capability | Detail |
|---|---|
| Reasoning Traces | Detailed step-by-step reasoning with clear logical progression |
| Source Attribution | Clear references to information sources and supporting evidence |
| Confidence Scoring | Explicit uncertainty quantification for analytical conclusions |
Related Models
- ASI:One Mini - Efficient model for everyday workflows
- ASI:One Fast - Ultra-low latency for real-time applications
- ASI:One Extended Agentic - Complex workflow orchestration variant
Ready for deep analysis? Check out our Quick Start guide or explore OpenAI compatibility for advanced integration patterns.