We’ve had two BIG model releases recently: 🤖 GPT-6 Astra from OpenAI 🧠 Claude Fable 5.1 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 Anthropic’s most capable model for long-running coding and knowledge work. So when might you actually want them? Maybe you’re 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. That’s where the extra capability can matter. 𝗕𝘂𝘁 𝘄𝗵𝗮𝘁 𝗮𝗯𝗼𝘂𝘁 𝗼𝘂𝗿 𝗻𝗼𝗿𝗺𝗮𝗹 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝘄𝗼𝗿𝗸? Writing an email. Brainstorming content. Creating a caption. Outlining a workshop. Summarizing notes. Cleaning up a sales page. You probably don’t need the most powerful model available for those things. 🚨𝘈𝘯𝘥 𝘵𝘩𝘪𝘴 𝘪𝘴 𝘸𝘩𝘦𝘳𝘦 𝘵𝘰𝘬𝘦𝘯 𝘶𝘴𝘢𝘨𝘦 𝘮𝘢𝘵𝘵𝘦𝘳𝘴. 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 wouldn’t burn through extra tokens asking the most powerful model to write five subject lines when another model can do that job perfectly well. 𝗠𝘆 𝘀𝗶𝗺𝗽𝗹𝗲 𝗿𝘂𝗹𝗲: Everyday business task? Use your everyday model. Complicated task where deeper reasoning could genuinely improve the result? That’s when you pull out Astra or Fable. 𝗔𝗻𝗱 𝗼𝗻𝗲 𝗾𝘂𝗶𝗰𝗸 𝗻𝗼𝘁𝗲 𝗼𝗻 𝗔𝘀𝘁𝗿𝗮: it’s still rolling out, so you may not see it in your ChatGPT account yet. 💬 Do you switch models based on what you’re doing, or do you tend to use the same one for everything?