Getting Started
Model Selection
Choose the perfect AI model for your needs
The Right Model for Every Task
Siya supports a comprehensive range of cutting-edge AI models, from powerful cloud-based options to privacy-focused local models. Understanding each model’s strengths helps you choose the perfect one for your specific needs, balancing performance, cost, and capabilities.
Model Overview
Siya's multi-model ecosystem provides flexibility and choice
Cloud Models
Cutting-Edge AI at Your Fingertips
Access the most powerful AI models through secure API connections
Anthropic's Claude Family
Industry-leading models known for reasoning, safety, and helpful responses
Claude Opus 4
Claude Opus 4
The Flagship ModelClaude Opus 4 represents the pinnacle of AI capability, excelling at:
- Complex reasoning and analysis
- Architecture design and planning
- Code generation and debugging
- Creative problem solving
- Multi-step task execution
Specifications
- Context: 200K tokens
- Strengths: Deep reasoning
- Speed: 20-30 tokens/sec
- Best for: Complex tasks
- Cost: Premium tier
Claude Opus 4 performance across different tasks
Choose Opus 4 when accuracy and reasoning depth matter more than speed
Claude Sonnet 4
Claude Sonnet 4
The Balanced PerformerSonnet 4 offers an optimal balance of capability and efficiency:
- Fast response times
- Excellent code understanding
- Strong analytical skills
- Cost-effective for most tasks
- Great for iterative development
Specifications
- Context: 200K tokens
- Strengths: Balance
- Speed: 40-50 tokens/sec
- Best for: Daily coding
- Cost: Standard tier
Sonnet 4 is recommended for 80% of development tasks
Specialized Models
Purpose-Built for Specific Domains
Models optimized for particular use cases and languages
DeepSeek Coder
DeepSeek Coder
The Code SpecialistTrained specifically for programming tasks:
- Superior code completion
- Bug detection and fixing
- Code explanation
- Refactoring suggestions
- Multi-language support
Performance Metrics
Use DeepSeek for intensive coding sessions and complex debugging
Qwen 2.5
Qwen 2.5
Multilingual ExcellenceOutstanding performance across languages:
- Native multilingual training
- Strong in Asian languages
- Excellent reasoning
- Cultural awareness
- Technical accuracy
Use Cases
- International projects
- Localization tasks
- Cross-cultural apps
- Global documentation
- Multi-region deployment
Local Models
Privacy-First AI on Your Machine
Run powerful models locally without internet connection
1
Download Model
Model Sources
Download llamafile models from:
2
Install Model
3
Configure Siya
Model appears automatically in Siya’s model selector
4
First Run
First run may take time to load model into memory
Local models require 8-64GB RAM depending on model size
Model Selection Strategy
Choose the Right Model Every Time
Strategic guidance for optimal model selection
Model selection decision tree
Software Architecture
Software Architecture
Recommended: Claude Opus 4
Why Opus 4?
- Deep reasoning for design decisions
- Understands complex systems
- Excellent at trade-off analysis
- Can model entire architectures
Code Implementation
Code Implementation
Recommended: DeepSeek Coder
Why DeepSeek?
- Specialized for code generation
- Superior completion accuracy
- Understands language idioms
- Fast and efficient
Debugging & Analysis
Debugging & Analysis
Recommended: Claude Sonnet 4
Why Sonnet 4?
- Balanced analysis capabilities
- Good at finding subtle bugs
- Clear explanations
- Fast enough for iteration
Documentation
Documentation
Recommended: GPT-4 Turbo
Why GPT-4 Turbo?
- Natural writing style
- Good at examples
- Consistent formatting
- Cost-effective
Model Comparison
Side-by-Side Model Comparison
Detailed comparison to help you make informed decisions
Switching Models
Dynamic Model Switching
Switch models on the fly based on your needs
1
Quick Switch
Press
⌘ + M to open model selector2
Menu Bar
Click model name in status bar
3
Command
Type “switch to GPT-5” in chat
4
Settings
Change default in preferences
Cost Optimization
Manage Your AI Budget Effectively
Strategies to optimize costs while maintaining quality
Cost-Saving Strategies
Cost-Saving Strategies
1
Use Appropriate Models
Don’t use Opus 4 for simple tasks - Sonnet 4 or Flash work great
2
Enable Auto-Switching
Let Siya choose cost-effective models automatically
3
Leverage Local Models
Use local models for repetitive or sensitive tasks
4
Optimize Context
Clear unnecessary context to reduce token usage
5
Batch Operations
Group similar tasks to reduce overhead
Usage Monitoring
Usage Monitoring
Best Practices
Model Selection Excellence
Expert tips for getting the most from each model
General Guidelines
General Guidelines
Do's
- Start with faster models
- Upgrade when needed
- Use local for privacy
- Monitor costs
- Learn model strengths
- Experiment freely
Don'ts
- Always use most expensive
- Ignore context limits
- Share API keys
- Neglect local options
- Stick to one model
- Waste tokens
Model-Specific Tips
Model-Specific Tips
Future Models
Coming Soon to Siya
Upcoming models and capabilities on our roadmap
In Development
Coming Soon
- Claude Haiku 3
- GPT-4 Vision
- Llama 4
- Custom fine-tuned models
- Mixtral MOE
Future Vision
On the Horizon
- Multi-model ensemble
- Custom training
- Specialized verticals
- Real-time models
- Edge deployment
Summary
Choose Wisely, Code Brilliantly
With Siya’s comprehensive model selection, you have access to the perfect AI for every task. From the reasoning depth of Claude Opus 4 to the lightning speed of Gemini Flash, from specialized coding models to privacy-preserving local options - the right model is always at your fingertips. Understanding each model’s strengths empowers you to work smarter, faster, and more efficiently.
The right model. The right time. The right results.