Lecture 9 Part 2 - Model Router: Intelligent LLM Routing for Cost & Speed Optimization

Master the Model Router concept - the smart system that automatically selects the best AI model for each task based on complexity, cost, and speed requirements!
In this advanced lecture, discover how to build efficient AI systems by routing different queries to the most appropriate LLM model, saving both time and money.
What You'll Learn:
✅ What is Model Router and why it matters
✅ How to classify tasks by complexity level (simple, medium, complex, reasoning)
✅ Intelligent routing logic based on model capabilities
✅ Cost vs Speed vs Accuracy trade-offs in model selection
✅ Comparing different LLM options: GPT family, Gemini family, Local models (Granite)
✅ Building if-else logic for automatic model selection
✅ Real-world implementation with Python code
Key Model Comparison:
🔹 GPT-5 Nano - Fast, cheap, perfect for simple text tasks
🔹 GPT-5 Mini - Balanced performance, good for general tasks
🔹 Gemini 2.5 Flash - Multimodal (image, video, audio), fast responses
🔹 Granite 4 - Local model, offline privacy, no internet needed
🔹 GPT-5 Pro - Advanced reasoning, heavy computation tasks
Model Router Decision Criteria:
🎯 Task complexity (Simple → Nano/Flash | Medium → Mini | Complex/Reasoning → Pro)
💰 Cost optimization (Always start with cheaper models for simple tasks)
⚡ Speed requirements (Use Nano/Flash for real-time applications)
🔐 Privacy needs (Use local Granite model for sensitive data)
🎨 Capabilities needed (Multimodal → Gemini Flash; Reasoning → GPT-5 Pro)
Practical Examples:

"What is the capital of India?" → Route to Nano (simple, fast, cheap)
"Explain quantum computing in simple terms" → Route to Mini (medium task)
"Set password offline with privacy" → Route to Granite 4 (local, private)
"Explain Newton's third law with reasoning" → Route to Mini/Pro (needs reasoning)
"Process image and generate description" → Route to Gemini Flash (multimodal)

Pricing Context:

GPT Free tier: Limited reasoning access
GPT Plus ($20/month): Advanced features, 199 requests/month, Video, Vision, Analysis
GPT Pro ($200/month): 20,000 tokens/month, Advanced reasoning, O3 model access
Local models: Free (Granite 4 - 2B parameters, can run on personal system)

Code Implementation:
Learn how to build:

Router prompt with task variable placeholders
If-else statements for automatic model selection
Dynamic routing based on query analysis
Output formatting and content extraction

Why Model Router is Critical:
💡 Not every task needs a $200/month Pro model
💡 Simple questions can be answered by cheaper Nano models
💡 Optimize infrastructure costs while maintaining quality
💡 Scale AI applications efficiently
💡 Provide better user experience (fast responses for simple tasks)
This lecture covers:

Model selection criteria
Pricing comparison of different plans
Practical routing implementation
Real code examples
Cost-benefit analysis for different scenarios

Perfect for developers, data scientists, and AI enthusiasts building production-grade AI applications!
Timestamps:
0:00 - Model Router overview
2:15 - Why intelligent routing matters
5:30 - Comparing model capabilities & costs
8:45 - Decision criteria framework
12:00 - Simple vs Complex task routing
15:30 - Multimodal and local model usage
18:15 - Code implementation with if-else
21:45 - Practical examples & Q&A
23:50 - Conclusion & next steps

📌 Common Tags for Both Videos:
#LLM #AIModels #GPT #Gemini #ModelComparison #GenerativeAI #ModelRouting #LLMAsJudge #CostOptimization #AI #MachineLearning #DeepLearning #OpenAI #Google #HindiLecture #GenAI #AI_Education