Codex and Opus are increasingly on par for most coding tasks, but Codex is significantly cheaper. A 20–30% cost saving on token spend is enough to move entire workflows. The era of paying a premium for Anthropic because you have to is ending.
Podbit · God Mode Podcast
Codex and Opus are increasingly on par for most coding tasks, but Codex is significantly cheaper. A 20–30% cost saving on token spend is enough to move entire workflows. The era of paying a premium for Anthropic because you have to is ending.
Where this was said
At 26:00 · chapter starts 25:30
The debate turns from macro to product: why are builders quietly defecting from Anthropic to Codex? Luca makes the economic case — once Codex reaches parity with Opus on the tasks most builders actually do, the 20–30% cost differential wins. You don't need Mythos to write copy or build a web app. [1] — Luca "Codex and Opus are increasingly on par for most coding tasks, but Codex is significantly cheaper. A 20–30% cost saving on token spend is en…" 26:00 Rik adds nuance: Anthropic has historically been efficient at building models (spending roughly 50% of OpenAI's capex to get the next model out), but its pricing has always been elevated because it doesn't own its own compute — it rents. OpenAI's realization that it could build a cheaper coding model that's 'pretty much just as good' for backend work is paying off. Mythos may wow on security benchmarks, but if GPT-5.5 solves the same problems a few weeks later, the premium evaporates.
Anthropic's upcoming Mythos model is priced at $25 per million input tokens and $125 per million output tokens — 3 to 4 times more expensive than Opus.
With AI coding tools like Cursor, Bhanu replicates an existing free tool for a new keyword in under 5 minutes. What used to be a multi-day build is now a lunch-break task.
Ahrefs, SiteGPT, Cal.com, PostHog, Datafast, Sibyl AI, Bento, Feather, Featurepace, Mintlify, Cloud Code, ChartMogul — Bhanu runs his entire business solo with these 12 tools.
PropGPT runs on React Native with TypeScript and Python for ML, Neon for the database, RevenueCat and Superwall for monetization. LLM costs are $20/month, data APIs $100/month, and after $10K in monthly marketing spend, margins sit at roughly 50%.
Game apps keep users engaged long enough for ads to pay off. Tool apps don't — so if you're building a utility, ads are almost always the wrong call and subscriptions are your only real lever.
Inside SEO Bot, a single button labelled 'Boost My Domain Rating' routes users directly to Listing Bot. That one interaction converts a user of one tool into a user of two — without any marketing cost.
Directory listings are a powerful but underrated growth channel — but only if your product is genuinely interesting enough to earn the click. AI products have a natural advantage here because they're easy to package in a compelling, clickable way.
The fastest path to Twitter growth isn't volume — it's forming sharp opinions about how the platform works and sharing them immediately. People cluster around those who understand the rules and say so out loud.
Sam had no coding knowledge, so he used ChatGPT voice mode to generate his entire codebase and copy-pasted it into Notepad. A friend later introduced him to Cursor, and he never looked back.
Copy days of Discord chat history, paste it into ChatGPT, and ask it to list recurring pain points. The ones that come up most often are your best product bets.
We use essential and analytics cookies to run Vuci. To understand how the site is used: Privacy Policy.
Install Vuci on your phone
Add it to your home screen for a faster, app-like experience.
Install Vuci on your phone
Tap the Share button, then “Add to Home Screen”.
A new version is available
Reload to get the latest Vuci.