OpenAI's Sol, Terra, Luna Explained: Which One Should You Use?
-OpenAI has completely overhauled its model naming system with the release of GPT-5.6, introducing three distinct tiers: Sol, Terra, and Luna. In this video, we put OpenAI's new flagship model, GPT-5.6 Sol, to the ultimate test. Using the Codex extension in VS Code, we throw our classic "Build me a secure notes app or I get fired" prompt at Sol. Watch as we break down the pricing and reasoning differences of the new tiers, run a full security audit using Snyk, and see if Sol's $5/$30 price tag is truly production-ready or if a small local CSRF bug gets us "fired" first.
Use Snyk for free to find and fix security issues in your applications today! https://snyk.co/ugLYn
✍️ Resources ✍️
- GPT-5.6 Announcement Blog - https://openai.com/index/previewing-gpt-5-6-sol/
- GPT-5.6 Model Docs - https://developers.openai.com/api/docs/models
- GitHub Repo - https://github.com/clarkio/ai-code-security
⏲️ Chapters ⏲️
00:00 OpenAI's New GPT-5.6 Model Tiers
00:52 Sol, Terra, & Luna Differences
02:19 Sol vs. The Secure Notes App Prompt
02:59 Sol's Security Strategy & Coding Process
03:42 30 Minutes In: Deep Reasoning & Docker Choices
04:13 Prompt Complete After Nearly 1 Hour
06:08 Testing the App
09:05 Sol's Robust Solution Caught Out By A Small Bug?
09:43 Snyk Dependency Audit
10:13 Snyk Code Analysis
12:45 Is GPT-5.6 Sol Worth the Price?
⚒️ About Snyk ⚒️
Snyk helps you find and fix vulnerabilities in your code, open-source dependencies, containers, infrastructure-as-code, software pipelines, IDEs, and more! Move fast, stay secure.
Learn more about Snyk: https://snyk.co/ugLYl
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