Overview
Together AI serves as a marketplace for open-source AI models, providing access to cutting-edge models from Meta, Mistral, Google, and other leading AI research labs. Their platform offers both static model access and dynamic model discovery.Model Variety
Access to hundreds of open-source models
High Performance
Optimized infrastructure for fast inference
Research Models
Latest models from top AI research labs
Popular Models
Meta Llama Series
Meta Llama Series
Llama Models
Industry-leading open-source models from Meta.- Llama 3.1 70B: Powerful general-purpose model
- Llama 3.2 90B Vision: Multimodal model with vision capabilities
- Best for: Advanced reasoning, creative tasks, multimodal applications
Mistral Models
Mistral Models
Mistral AI Series
Efficient and capable models from Mistral AI.- Mixtral 8x7B: High-performance mixture-of-experts model
- Devstral Small: Specialized coding model
- Magistral Small: Advanced reasoning model
- Best for: Efficient inference, specialized tasks
Google Models
Google Models
Google/Gemma Series
Lightweight and capable models from Google.- Gemma 3 27B: Advanced general-purpose model
- Gemma 3 12B/4B/1B: Range of model sizes for different needs
- Best for: Balanced performance, research applications
Coding Models
Coding Models
Specialized Coding
Models optimized for programming and technical tasks.- Qwen3-Coder 480B: Massive coding model
- Arcee AI Coder: Specialized coding assistant
- Best for: Code generation, debugging, technical writing
Reasoning Models
Reasoning Models
Advanced Reasoning
Models with enhanced reasoning and thinking capabilities.- Kimi K2 Thinking: Advanced thinking model
- DeepSeek-V3.2-Exp: Experimental reasoning model
- Cogito V1 Preview: Best-in-class reasoning
- Best for: Complex problem-solving, analysis
Setup Instructions
1
Create Account
Visit Together AI and create an account
2
Access API Keys
Navigate to Settings > API Keys in your dashboard
3
Generate API Key
Create a new API key for model access
4
Configure in Codinit
Add your Together API key to the provider settings
5
Explore Models
Browse available models and test different options
Key Features
Platform Advantages
- Extensive Catalog: Access to hundreds of open-source models
- Research Access: Latest models from top AI research institutions
- Performance Optimized: Fast inference with optimized infrastructure
- Flexible Pricing: Pay only for what you use
- Regular Updates: New models added frequently
Use Cases
Research & Experimentation
Research & Experimentation
AI Research
Perfect for researchers and developers exploring different models.- Model comparison and evaluation
- Research prototyping
- Algorithm testing
- Performance benchmarking
Development Tasks
Development Tasks
Software Development
Excellent for coding and technical development work.- Code generation and completion
- Technical documentation
- API development
- Debugging assistance
Content Creation
Content Creation
Creative Applications
Suitable for content creation and creative tasks.- Creative writing and ideation
- Content generation
- Marketing copy
- Educational materials
Business Applications
Business Applications
Enterprise Use
Reliable for business and productivity applications.- Business analysis
- Customer service automation
- Process optimization
- Data analysis
Pricing Information
Together AI offers flexible pricing based on model size and usage:Dynamic Pricing: Actual prices may vary based on current model popularity and demand.
Model Selection: Start with smaller models for testing, then scale up to larger models for production use.
Model Availability: Some models may have limited availability or higher costs during peak usage.
Model Management
Dynamic Model Discovery
Dynamic Model Discovery
Model Catalog
How Together AI provides access to available models.- API Integration: Automatic model discovery through API
- Real-time Updates: New models added as they become available
- Pricing Information: Cost details included in model listings
- Performance Metrics: Context window and capability information
Model Categories
Model Categories
Model Organization
Understanding the different types of models available.- Text Generation: General-purpose language models
- Code Models: Specialized for programming tasks
- Vision Models: Multimodal models with image understanding
- Reasoning Models: Enhanced logical reasoning capabilities
- Experimental Models: Cutting-edge research models
Performance Optimization
Performance Optimization
Optimization Features
Features to improve model performance and cost efficiency.- Context Management: Efficient handling of large context windows
- Caching: Request caching for repeated queries
- Load Balancing: Automatic distribution across available resources
- Cost Optimization: Suggestions for cost-effective model selection
Best Practices
Model Selection
Model Selection
Choosing the Right Model
Guidelines for selecting appropriate models for your use case.- Task Matching: Choose models specialized for your specific task
- Cost Consideration: Balance performance needs with budget constraints
- Context Requirements: Ensure model context window meets your needs
- Testing Phase: Test multiple models before committing to one
Usage Optimization
Usage Optimization
Optimizing Performance
Tips for getting the best performance from Together AI models.- Prompt Engineering: Craft clear, specific prompts
- Context Management: Keep context focused and relevant
- Batch Processing: Group similar requests when possible
- Caching Strategy: Cache frequent queries to reduce costs
Cost Management
Cost Management
Managing Costs
Strategies for controlling and optimizing usage costs.- Usage Monitoring: Track usage patterns and costs
- Model Switching: Use smaller models for simpler tasks
- Caching: Implement caching to reduce API calls
- Bulk Operations: Combine multiple operations when feasible