Browsing Models
ModelBooth offers multiple ways to discover and explore AI models. This guide will help you efficiently find the models that best fit your needs.
Browse by Category
The fastest way to find relevant models is by browsing our eight main categories. Each category is specifically designed for different types of AI applications:
- Reasoning Models: For complex problem-solving and multi-step analysis
- Language Models: For text generation, conversation, and language tasks
- Multimodal Models: For tasks involving multiple data types
- Image Generation: For creating and editing images
- Code Generation: For programming assistance
- Audio & Speech: For voice and audio processing
- Video Generation: For video creation and editing
- Specialized Models: For domain-specific applications
Browse by Provider
If you prefer working with specific AI companies, you can browse models by provider. We currently track models from 40+ providers including:
- OpenAI (o3-pro, GPT-4.1, DALL-E 3)
- Anthropic (Claude 4, Constitutional AI)
- Google (Gemini 2.5, PaLM)
- Meta (Llama 4, open-source models)
- xAI (Grok 3, real-time models)
- DeepSeek (ultra-low-cost models)
- And many more...
Using Filters
Our advanced filtering system helps you narrow down models based on specific criteria:
Price Filters
- Filter by input token cost range
- Filter by output token cost range
- Show only free or open-source models
- Compare subscription vs pay-per-use models
Performance Filters
- Context length requirements
- Model size and parameters
- Processing speed requirements
- Accuracy benchmarks
Feature Filters
- Specific capabilities (reasoning, vision, code, etc.)
- Language support
- API availability
- Commercial licensing
Search Functionality
Use our search bar to quickly find models by name, provider, or capability. The search supports:
- Model names (e.g., "GPT-4", "Claude", "Gemini")
- Provider names (e.g., "OpenAI", "Anthropic")
- Capabilities (e.g., "reasoning", "vision", "code")
- Use cases (e.g., "chatbot", "image generation")
Model Information
Each model listing includes comprehensive information:
Basic Information
- Model name and version
- Provider and release date
- Current availability status
- Model category and type
Technical Details
- Context length and token limits
- Model architecture and size
- Supported input/output formats
- Performance benchmarks
Pricing Information
- Input and output token costs
- Subscription options
- Free tier availability
- Volume discounts
Tips for Effective Browsing
Start with Your Use Case
Begin by identifying your specific use case, then browse the most relevant category. This approach saves time and helps you focus on suitable models.
Consider Your Budget
Use price filters early in your search to avoid spending time on models outside your budget range. Remember to consider both input and output costs.
Check Recent Updates
Look for models marked as "NEW" or recently updated, as they often offer improved performance or better pricing.
Read Model Descriptions
Don't just rely on model names - read the descriptions to understand specific strengths and recommended use cases.
Next Steps
Once you've found interesting models: