3 Ways Manus AI Is Quietly Beating ChatGPT Right Now

About this video

David compares Manus AI with ChatGPT and demonstrates three uses he says are actually worth Manus’s credit cost (the transcript confirms the ’three’ framing). He explains Manus is not its own model but orchestrates models such as Google’s Nano Banana Pro for images, plus models from Anthropic and Alibaba, and can connect Google Workspace, Microsoft 365, custom MCP servers and APIs; viewers are offered 500 free credits via the description link. (1) Design View: he generates a photorealistic landing-page image for ‘David’s Donut Den’ in under a minute, then edits on a canvas — the comment tool pins a prompt to a specific spot, the edit-text tool rewrites text in the image, and the mark tool places an uploaded logo onto a chosen area (his first attempt failed because he prompted ‘storefront window’ instead of the door window, illustrating prompt precision). He says this image work cost about 100 credits, roughly 50 cents US. (2) Wide Research: Manus spins up sub-agents in parallel, unlike ChatGPT which he says hits a wall around 20-30 items; for 200 Pacific Northwest coffee shops it found the shops in about 7 minutes and finished contacts plus outreach drafts in about 45 minutes. In his comparison, ChatGPT 5.2 Thinking declined, ChatGPT Pro finished in about 27 minutes but found no owner contact info, and Claude Opus 4.5 judging contact accuracy put Manus on top; a LinkedIn variant cost almost 4,800 credits (about $24) and required repeated logins, which he does not recommend. For a smaller 20-shop test, ChatGPT 5.2 Thinking judged best — Manus’s edge is at scale. Note the transcript’s credit-to-dollar figure for the 200-shop run is internally inconsistent, so it is omitted. Pricing context given: a 7-day free trial with 8,300 credits, versus $200/month for OpenAI’s Pro model. (3) Slides: a deck is built in about 7 minutes from an outline, with per-slide magic-wand edits, templates, adjustable slide count, and export to Google Slides or PowerPoint; he warns Manus invented text to fill slides and Canva templates with many images laid out poorly, so add images after export.

Key takeaways

• Manus orchestrates third-party models (e.g. Nano Banana Pro, Anthropic, Alibaba models) rather than being a model itself; it runs on credits, so cost awareness matters.
• Design View’s canvas editing — comment tool for localized changes, edit-text for in-image text, mark tool for placing uploaded assets — is its differentiator over plain image generation.
• Wide Research parallelizes with sub-agents and, in the creator’s tests, beat ChatGPT on a 200-item lead-research task, while ChatGPT 5.2 Thinking was judged better for small ~20-item tasks.
• No model’s research output should be trusted 100% — the creator used Claude Opus 4.5 as a judge and still flags mistakes; LinkedIn scraping via Manus was expensive and painful.
• Slides mode produces clean, editable decks in about 7 minutes with Google Slides/PowerPoint export, but it fabricates filler text and handles image-heavy templates poorly.

Episode details: published January 26, 2026 · 11:59 long. Summary written by Self Growth Videos from the episode itself. Business results and any income figures mentioned are Kevin Stratvert’s own claims, shared for education — they are not typical or guaranteed.

← Previous: The Easiest Way to Multistream on OBS (100% Free) · Next: Mailchimp Tutorial for Beginners – Learn SMS Marketing in 2026 →

All Kevin Stratvert videos · Kevin Stratvert profile · Kevin Stratvert on YouTube