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.
Snapshot · God Mode Podcast
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.
Where this was said
At 27:19 · 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.
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.
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
PropGPT averaged 20 downloads per day right after launching on the App Store through influencer marketing.
Eyal and Yali shut down all marketing and spent 4 months completely rebuilding PropGPT from scratch.
PropGPT has accumulated over 40,000 total downloads since launch.
PropGPT's large language model (AI) operating costs are just $20 per month, and the cost is continually falling.
Ad-based monetization works well for game apps where users spend extended time in-session, as seen with Grid and Wordle.
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