Know Your Inference
The most comprehensive AI model benchmarking system. Think of it as a credit score for AI models.
The Problem
Traditional benchmarks only measure accuracy. They don't tell you how much it costs to run in production, whether it's safe to deploy, if it aligns with sustainability goals, or the long-term strategic implications.
- ✕No cost analysis
- ✕No safety evaluation
- ✕No sustainability metrics
- ✕No business impact assessment
The Solution
KYI™ provides a holistic, multi-dimensional assessment across 7 critical pillars. Make informed decisions based on your complete business context, not just accuracy numbers.
- ✓Comprehensive cost analysis
- ✓117+ safety & quality tests
- ✓Environmental impact tracking
- ✓Strategic value assessment
The 7 Pillars of KYI™
Each pillar is scored 0-100, then weighted to create the overall KYI™ score
Resource Efficiency
How efficiently a model uses computational resources
Key Metrics
- •Parameter Count
- •Memory Footprint
- •Inference Speed
- •Context Window
- •Quantization Support
Environmental Sustainability
The environmental impact of training and running the model
Key Metrics
- •Training Carbon Footprint
- •Inference Energy
- •Hardware Requirements
- •Data Center Impact
- •Model Lifecycle
Financial Metrics
The total cost of ownership and value delivered
Key Metrics
- •Cost per Token
- •Price/Performance Ratio
- •TCO
- •Volume Discounts
- •Cost Predictability
Business Impact
How the model affects your business operations and outcomes
Key Metrics
- •Time to Value
- •Integration Complexity
- •Maintenance Burden
- •Scalability
- •Vendor Lock-in Risk
Strategic Insights
Long-term strategic value and positioning
Key Metrics
- •Innovation Index
- •Market Maturity
- •Future-Proofing
- •Competitive Advantage
- •Ecosystem Strength
Safety & Compliance
How safe and compliant the model is for production use
Key Metrics
- •Toxicity Prevention (15 tests)
- •Bias Mitigation (17 tests)
- •PII Protection (12 tests)
- •Compliance Testing (6 tests)
Quality & Accuracy
Output quality based on real evaluation performance
Key Metrics
- •Hallucination Detection
- •Code Generation
- •Math Reasoning
- •Context Handling
- •Instruction Following
How the Score is Calculated
The KYI™ score is a weighted composite of all seven pillars
KYI™ Score = (Resource Efficiency × 0.15) + (Environmental Sustainability × 0.10) + (Financial Metrics × 0.20) + (Business Impact × 0.15) + (Strategic Insights × 0.10) + (Safety & Compliance × 0.15) + (Quality & Accuracy × 0.15) Final Score: 0-100 scale
Why This Weighting?
Financial Metrics
Cost directly impacts ROI
Resource Efficiency
Affects cost and performance
Safety & Compliance
Critical for production
Quality & Accuracy
Core functionality delivery
Business Impact
Operational considerations
Environmental
Growing importance
Strategic Insights
Long-term value
Interpreting KYI™ Scores
Exceptional
Best-in-class across all dimensions. Ready for mission-critical applications.
Excellent
Strong performer with minor tradeoffs. Suitable for most production use cases.
Good
Solid choice with some limitations. Consider use case requirements carefully.
Fair
Acceptable for specific use cases. Significant tradeoffs present.
Poor
Significant concerns across multiple dimensions. Not recommended for production.
Real-World Examples
See how different models score across the 7 pillars
LLaMA 3 8B Instruct
Overall KYI™ Score
Best For
General-purpose applications, cost-sensitive deployments, high-volume workloads
Trade-offs
Not the highest quality, but exceptional value
KYI™ vs. The Competition
| Feature | KYI™ | MMLU | HumanEval | OpenLLM |
|---|---|---|---|---|
| Accuracy Testing | ✓ | ✓ | ✓ | ✓ |
| Cost Analysis | ✓ | ✕ | ✕ | ✕ |
| Safety Testing | 44 tests | ✕ | ✕ | Limited |
| Sustainability | ✓ | ✕ | ✕ | ✕ |
| Business Impact | ✓ | ✕ | ✕ | ✕ |
| Strategic Value | ✓ | ✕ | ✕ | ✕ |
| Production Focus | ✓ | ✕ | ✕ | Partial |
Frequently Asked Questions
Ready to Find Your Perfect Model?
Use KYI™ scores to make informed decisions based on your complete business context