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My experiences with Copilot are exactly like these threads – once it's wrong you have to almost start fresh or takeover, which can be a huge time sink.

Claude 4 Opus and Sonnet seem much better for me. The models needed alignment and feedback but worked fairly well. I know Copilot uses Claude but for whatever reason I don't get nearly the same quality as using Claude Code.

Claude is expensive, $10 to implement a feature, $2 to add some unit tests to my small personal project. I imagine large apps or apps without clear division of modules/code will burn through tokens.

It definitely works as an accelerator but I don't think it's going to replace humans yet, and I think that's still a very strong position for AI to be in.



Are those costs from the pay as you go credit system or is that on top of a max subscription?

I've tinkered with the pay as you go, but wonder if a higher cap on max for 100/month would be worth it?


I bought $20 of pay as you go API credits to test out the models and how to use them.

I have not tried the $100/month subscription. If it's net cheaper than buying credits I would consider it, since that's basically 10 features per month.


Gotcha. I am in the same boat with pay as you go credits and evaluating what it can do. There are limits with the max subscription but I'm not sure exactly how to measure it against the pay as you go tokens. So for now I just use tokens sparingly.


Note we aren't really seeing the price reflect the true costs of using LLMs yet. Everyone is prioritizing adoption over sustainable business models. Time will tell how this pans out.




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