Better models don’t automatically mean smaller AI bills. Sometimes they mean you finally have a reason to run the workflow you couldn’t get working before. That’s what makes GPT-6 Astra interesting to me. Once a model can research, build, inspect, and refine, you start giving it more ambitious tasks. A single response becomes an entire working session. The useful question is no longer just “what does a million tokens cost?” It’s “what can I get done with this budget?” That’s also why…