Weโve had two BIG model releases recently:
๐คย GPT-6 Astraย from OpenAI
๐ง ย Claude Fable 5.1ย from Anthropic
Both are designed for much harder work than most of us are doing in our businesses every day.
Astra is built for things like complex research, coding, computer use and multi-step projects. Fable 5.1 is Anthropicโs most capable model for long-running coding and knowledge work.
So when might you actually want them?
Maybe youโre asking AI to research a market, work through a large collection of documents, troubleshoot an app, analyze a complicated business problem, or complete a project that requires many steps.
Thatโs where the extra capability can matter.
๐๐๐ ๐๐ต๐ฎ๐ ๐ฎ๐ฏ๐ผ๐๐ ๐ผ๐๐ฟ ๐ป๐ผ๐ฟ๐บ๐ฎ๐น ๐ฏ๐๐๐ถ๐ป๐ฒ๐๐ ๐๐ผ๐ฟ๐ธ?
Writing an email.
Brainstorming content.
Creating a caption.
Outlining a workshop.
Summarizing notes.
Cleaning up a sales page.
You probablyย donโt need the most powerful model availableย for those things.
๐จ๐๐ฏ๐ฅ ๐ต๐ฉ๐ช๐ด ๐ช๐ด ๐ธ๐ฉ๐ฆ๐ณ๐ฆ ๐ต๐ฐ๐ฌ๐ฆ๐ฏ ๐ถ๐ด๐ข๐จ๐ฆ ๐ฎ๐ข๐ต๐ต๐ฆ๐ณ๐ด.
More advanced reasoning can use more tokens, which means you can reach your usage limits faster. Claude specifically recommends lower or medium effort for routine tasks when you want to stretch your usage further, and OpenAI notes that Astra can use plan allowances faster than GPT-5.6 Sol in Work and Codex.
So I wouldnโt burn through extra tokens asking the most powerful model to write five subject lines when another model can do that job perfectly well.
๐ ๐ ๐๐ถ๐บ๐ฝ๐น๐ฒ ๐ฟ๐๐น๐ฒ:
Everyday business task? Use your everyday model.
Complicated task where deeper reasoning could genuinely improve the result? Thatโs when you pull out Astra or Fable.
๐๐ป๐ฑ ๐ผ๐ป๐ฒ ๐พ๐๐ถ๐ฐ๐ธ ๐ป๐ผ๐๐ฒ ๐ผ๐ป ๐๐๐๐ฟ๐ฎ: itโs still rolling out, so you may not see it in your ChatGPT account yet.
๐ฌย Do you switch models based on what youโre doing, or do you tend to use the same one for everything?