Evaluating AI Models
Compare Claude, GPT, Gemini, and DeepSeek with real benchmarks, cost math, and hands-on testing. Pick the right model for every task.
Q2 2026 is the most competitive AI model quarter ever. DeepSeek V4 (1 trillion parameters, $0.30/MTok). GPT-5.5. Gemma 4. Grok 5. Claude Opus 4.6. Every company claims theirs is the best. None of them agree on how to measure “best.”
This course gives you a framework that cuts through the noise. You’ll learn what benchmarks actually mean (and what they hide), how to calculate real monthly costs (it’s never what the pricing page says), and how to test models on YOUR actual tasks instead of trusting someone else’s evaluation.
By the end, you’ll have a personal scorecard comparing the models that matter to you — with data, not opinions.
What You'll Learn
- Explain what major AI benchmarks (MMLU, SWE-bench, Arena AI) actually measure and their limitations
- Calculate the real monthly cost of each AI model for your specific usage patterns
- Execute a structured comparison test across 3+ models using your own tasks
- Evaluate model quality for coding, writing, and analysis using objective criteria
- Design a model routing strategy that uses the cheapest model good enough for each task
After This Course, You Can
What You'll Build
Course Syllabus
Prerequisites
- Experience with at least one AI tool (ChatGPT, Claude, or Gemini)
- A clear use case — know what tasks you want AI to do for you
Who Is This For?
- Professionals choosing between ChatGPT, Claude, Gemini, and open-source models
- Team leads making AI tool purchasing decisions for their organizations
- Developers evaluating models for coding, DevOps, and technical tasks
- Anyone overwhelmed by the Q2 2026 model launches and wanting a framework to decide
Frequently Asked Questions
Do I need a paid subscription to any AI tool?
No. Free tiers of Claude, ChatGPT, and Gemini are enough to follow along. Lesson 4 includes a comparison exercise you can run entirely on free tiers.
Is this about building AI models or using them?
Using them. This course helps you CHOOSE between models, not build them. No machine learning knowledge needed.
Which AI model is best?
There's no single best model — that's why this course exists. Claude leads on coding, Gemini wins on price, DeepSeek beats everyone on cost-efficiency. You'll learn to pick the right one per task.
How quickly do these comparisons become outdated?
Pricing and benchmarks change quarterly. But the FRAMEWORK for evaluation — how to test, what to measure, how to decide — is evergreen. That's what this course really teaches.
