Even as a GLM z.ai fan, I wouldn't pay for their plans. They are just way worse values than gpt or anthropic plans, in terms of both usage and capabilities.
replyFor me it works fine outside of afternoons Beijing time on weekdays.
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replyOpencode Go subscription has served me well.
replySelf-promo but you should try our service synthetic.new. We generally have up-to-date open-source LLMs on the sub, and we have GLM-5.2 :) Perf+stability should be wayyy better than zai.
replyWhat do you do differently that you expect to have better performance than an experienced, established player?
replyNot GP, but just being smaller makes it easier to achieve reliability. Like if you're a git forge with 100 similar customers, you can likely achieve an order of magnitude better reliability than GitHub, who is trying to serve millions of customers with wildly different needs.
replyThe problems for services such as GitHub with scaling are reducing cost per customer. That's even more pertinent when discussing inference at scale.
reply> The problems for services such as GitHub with scaling are reducing cost per customer. That's even more pertinent when discussing inference at scale.
replyI don't think that's true. When I look at GitHub's incident history,[0] it doesn't read to me like a company that's struggling to cut costs. It looks like a company that's trying to do a million things to serve a million use cases, and the growing interconnections between all those distinct services and workflows cause unexpected failures.
same here. Barely usable due to API connections issues.
replyAnd when i can use it, it just drains the quota 5 times faster than codex or claude.
Their plan is a scam
My experience as well unfortunately :(
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