Grok 4.5 is priced at $2 per million input tokens and $6 per million output tokens on OpenRouter, making it one of the cheapest models capable of serious developer tasks.
Snapshot · Nerd Snipe with Theo and Ben
Grok 4.5 is priced at $2 per million input tokens and $6 per million output tokens on OpenRouter, making it one of the cheapest models capable of serious developer tasks.
Where this was said
At 14:28 · chapter starts 12:55
Kicking off the model rankings from least to most exciting, Theo and Ben land on Muse Spark 1.1 as the easy last place. It's only available through the API, benches around Opus tier, and yet carries the eerie feel of earlier open-weight models — competent on well-defined, familiar tasks, but liable to loop and hallucinate on anything vague or exploratory. Ben likens it to the 'Qwen behavior' of reasoning in circles. The most cutting observation: Meta has been training their models on employee screen recordings, which means this model is, as Theo jokes, state-of-the-art at one thing — applying for jobs at Anthropic. The bigger structural point is sobering: Meta's ML engineers apparently spend over half their time labeling data, turning their engineering talent into a data pipeline rather than a research team.
Grok 4.5 is the first model outside OpenAI and Anthropic that can handle multi-part instructions without getting lost or confused. At $2 in / $6 out and 102 TPS on OpenRouter, it's not frontier-level intelligence but it's genuinely usable — and for the first time, that's enough.
Grok 4.5 was averaging 102 tokens per second on OpenRouter at the time of recording, indicating strong throughput for an affordable non-frontier model.
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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