Snapshot · Moonshots with Peter Diamandis
Alibaba's Qwen 3.8 Max model is priced 88% below Claude Fable 5 and 80% below GPT-5.6 SOL, while ranking roughly third or fourth globally on capability benchmarks.
Where this was said
At 1:00:46 · chapter starts 1:00:25
Peter Diamandis walks through Alibaba's Qwen 3.8 Max release: a multimodal model with 2.4 trillion total parameters, 95 billion active per request, and a million-token context window, capable of processing 100-hour videos and building apps from screenshots [1] — Peter Diamandis "Qwen 3.8 Max: 88% cheaper than Claude: Alibaba's Qwen 3.8 Max model is priced 88% below Claude Fable 5 and 80% below GPT-5.6 SOL, while ran…" 1:00:46 . At $2 per million input tokens and $6 per million output tokens, it's 88% cheaper than Claude Fable 5 — and Alibaba's stock responded with a 7% gain. Alex Wissner-Gross delivers his now-famous framing: the Chinese Communist Party is ironically saving American capitalism from itself. Without Qwen and Kimi applying competitive pressure, Western frontier labs would have every incentive to restrict access and optimize margins rather than compete on capabilities. Emad Mostaque adds a key insight: the more strategically important release is Qwen 27B — a model that fits on a 16GB RAM MacBook and is approaching cyber-attack capability thresholds, raising national security concerns. Salim Ismail echoes the open-source forcing function thesis but notes these models still require substantial infrastructure to self-host.
Without competitive pressure from Alibaba's Qwen and Moonshot's Kimi series, Western frontier labs would have no incentive to compete on cost or capability. Alex Wissner-Gross argues that Chinese open-weight models are a space-race level forcing function that is paradoxically the best possible scenario for American AI competitiveness.
Peter Diamandis estimated that a new frontier AI model is being released on average every 5.5 days, reflecting the accelerating pace of AI development.
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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