Understanding Model Cards
Model cards provide comprehensive information about each AI model in an easy-to-read format. This guide explains how to interpret each section.
Basic Information
The header of each model card includes:
- Model Name: Official name and version
- Provider: The company that created the model
- Category: Primary function (e.g., Language Model)
- Status: Availability (Generally Available, Beta, etc.)
- Release Date: When the model was released
Pricing Information
Pricing is shown per million tokens unless otherwise specified:
- Input Cost: Price for processing input text
- Output Cost: Price for generating output text
- Special Pricing: Subscription plans or alternative pricing
- Free Tiers: Available free usage limits
Technical Specifications
Key technical details for developers:
- Context Length: Maximum input size (e.g., 128K tokens)
- Parameter Count: Model size and complexity
- Architecture: Model type (Transformer, MoE, etc.)
- Training Data: Cutoff date and sources
Capabilities Section
What the model can do:
- Core Functions: Primary capabilities
- Special Features: Unique abilities
- Language Support: Supported languages
- Input/Output Types: Supported data formats
Performance Metrics
When available, we include:
- Benchmark Scores: Performance on standard tests
- Speed Ratings: Response time comparisons
- Quality Scores: Output quality assessments
- Reliability: Uptime and consistency metrics
Use Case Examples
Practical applications:
- Best For: Recommended use cases
- Common Applications: Typical implementations
- Industry Uses: Sector-specific applications
- Not Suitable For: Limitations and restrictions
API Information
Implementation details:
- API Endpoint: Base URL for API calls
- Authentication: Required API keys or tokens
- Rate Limits: Request quotas and throttling
- Documentation Link: Official API docs
Status Indicators
Color-coded badges indicate:
- Green: Generally Available
- Yellow: Beta or Limited Access
- Blue: Preview or Early Access
- Red: New releases (2025 models)
How to Use Model Cards
- Start with the use case to see if it matches your needs
- Check pricing to ensure it fits your budget
- Review technical specs for compatibility
- Look at capabilities for required features
- Click documentation links for implementation details