$638/6 weeks won't make me broke, but here's my main issue: for me it's about the value-to-token ratio feeling off.
What bugs me most is that many of those 340M tokens feel wasteful? Like the LLM will use 50k tokens exploring dead ends before finding a solution that could have been expressed in 5k tokens. The productivity gain is real, but it feels like I'm paying 10x more than what should be "fair" for the actual value delivered.
Maybe this is just the current state of AI coding - the models need that exploration space to get to the answer. Or maybe I need to get better at constraining the context and being more surgical with my prompts.
For me as a founder, it's less "can I afford this" and more "does this pricing model make sense long-term?" If AI coding becomes a $5-6k/year baseline expense per developer, that changes a lot of unit economics, especially for early-stage companies.
Are you finding Claude Code Max more token-efficient for similar tasks, or is it just easier to stomach because the billing is flat?