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.
Ad-based monetization works well for game apps where users spend extended time in-session, as seen with Grid and Wordle.
Tool-focused apps like PuffCount are poor candidates for ad monetization because users don't stay in-session long enough.
A hard paywall is a screen that blocks all app features unless the user pays or starts a free trial — it cannot be dismissed.
Mobile apps are primarily monetized through either ads (best for games) or in-app purchases/subscriptions (best for tools).
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The founder attached their SaaS demo to the trending debate about whether AI coding is actually good enough to build a full SaaS product.
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