RIP Deepseek. We have a new #1 open-source AI model
MiniMax M2 provides AI filmmakers and developers with a top-tier open-weights model capable of complex, agentic code generation that rivals closed-source alternatives.
What this lesson covers
This video reviews MiniMax M2, a powerful new open-weights AI model that excels in coding, agentic performance, and complex multi-step tasks. The host demonstrates its capabilities by building functional web apps like a Photoshop clone, a 3D interactive Tokyo map, a jigsaw puzzle generator, and a beehive simulation.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 0:00 ↗
MiniMax M2 is a new open-weights AI model that matches top closed models like GPT-5 and Claude 4.5 in performance.
- 1:39 ↗
Using specific prompting techniques like requesting a standalone HTML file ensures self-contained code without missing dependencies.
- 1:51 ↗
The model acts as a thinking model and agent, creating a comprehensive plan, coding features, and autonomously fixing errors.
- 4:12 ↗
Explicitly telling the model to use specific libraries like threebox and 3.js helps generate functional 3D interactive maps.
Workflow outlined in the video
- Access the online platform for MiniMax M2 to test its agentic coding capabilities.
- Use precise prompts specifying standalone HTML files to ensure generated web apps run locally without errors.
- Instruct the model to create detailed implementation plans and autonomously catch or fix syntax or logic errors.
- Incorporate specialized libraries (like 3.js) into prompts when building advanced 3D visualizations or maps.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
How to interpret the numbers
212,771 views captured 23 October 2026. ReelStack recommendation score: 56/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 2.07× views vs 18 other channel videos observed at a similar age. View-evidence factor 100% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- 20% momentum: 50 views/day vs 3 channel baseline (7 comparable uploads), with the same view-evidence factor
- 10% engagement: 68/100; likes + 4× comments, smoothed with a 500-view neutral prior