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Yeah this is why I ended up getting Claude subscription in the first place. I was using GLM on ZAI coding plan (jerry rigged Claude Code for $3/month), but fin

by andai 9mo ago

Yeah this is why I ended up getting Claude subscription in the first place. I was using GLM on ZAI coding plan (jerry rigged Claude Code for $3/month), but finding myself asking Sonnet to rewrite 90% of the code GLM was giving me. At some point I was like "what the hell am I doing" and just switched. To clarify, the code I was getting before mostly worked, it was just a lot less pleasant to look at and work with. Might be a matter of taste, but I found it had a big impact on my morale and productivity.

MuffinFlavored 9mo ago
Did you eventually move to a $20/mo Claude plan, $100/mo Claude plan, $200/mo, or API based? if API based, how much are you averaging a month?
- andai 9mo ago
  The $20 one, but it's hobby use for me, would probably need the $200 one if I was full time. Ran into the 5 hour limit in like 30 minutes the other day. I've also been testing OpenClaw. It burned 8M tokens during my half hour of testing, which would have been like $50 with Opus on the API. (Which is why everyone was using it with the sub, until Anthropic apparently banned that.) I was using GLM on Cerebras instead, so it was only $10 per half hour ;) Tried to get their Coding plan ("unlimited" for $50/mo) but sold out... (My fallback is I got a whole year of GLM from ZAI for $20 for the year, it's just a bit too slow for interactive use.)
  - lostmsu 9mo ago
    Try Codex. It's better (subjectively, but objectively they are in the same ballpark), and its $20 plan is way more generous. I can use gpt-5.2 on high (prefer overall smarter models to -codex coding ones) almost nonstop, sometimes a few in parallel before I hit any limits (if ever).
- holoduke 9mo ago
  I now have 3 x 100 plans. Only then I an able to full time use it. Otherwise I hit the limits. I am q heavy user. Often work on 5 apps at the same time.
  - auggierose 9mo ago
    Shouldn't the 200 plan give you 4x?? Why 3 x 100 then?
    - holoduke 9mo ago
      Good point. Need to look into that one. Pricing is also changing constantly with Claude
Aurornis 9mo ago
> but finding myself asking Sonnet to rewrite 90% of the code GLM was giving me. At some point I was like "what the hell am I doing" and just switched. This is a very common sequence of events. The frontier hosted models are so much better than everything else that it's not worth messing around with anything lesser if doing this professionally. The $20/month plans go a long way if context is managed carefully. For a professional developer or consultant, the $200/month plan is peanuts relative to compensation.
- deaux 9mo ago
  Until last week, you would've been right. Kimi K2.5 is absolutely competitive for coding. Unless you include it in "frontier", but that has usually been used to refer to "Big 3".
  - bigiain 9mo ago
    Looks like you need at least a quarter terabyte or so of ram to run that though? (At todays ram prices upgrading to that for me would pay for a _lot_ of tokens...)
    - tkz1312 9mo ago
      unfortunately running anything locally for serious personal use makes no financial sense at all right now. 4x rtx 6000 pro is probably the minimum you need to have something reasonable for coding work.
      - deaux 9mo ago
        That's the setup you want for serious work yes, so probably $60kish all-in(?). Which is a big chunk of money for an individual, but potentially quite reasonable for a company. Being able to get effectively _frontier-level local performance_ for that money was completely unthinkable so far. Correct me if I'm wrong, but I think Deepseek R1 hardware requirements were far costlier on release, and it had a much bigger gap to market lead than Kimi K2.5. If this trend continues the big 3 are absolutely finished when it comes to enterprise and they'll only have consumer left. Altman and Amodei will be praying to the gods that China doesn't keep this rate of performance/$ improvement up while also releasing all as open weights.
icedchai 9mo ago
Same. I messed around with a bunch of local models on a box with 128GB of VRAM and the code quality was always meh. Local AI is a fun hobby though. But if you want to just get stuff done it’s not the way to go.
davidwritesbugs 9mo ago
Similar experience to me. I tend to let glm-4.7 have a go at the problem then if it keeps having to try I'll switch to Sonnet or Opus to solve it. Glm is good for the low hanging fruit and planning
PeterStuer 9mo ago
My very first tests of local Qwen-coder-next yesterday found it quite capable of acceptably improving Python functions when given clear objectives. I'm not looking for a vibe coding "one-shot" full project model. I'm not looking to replace GPT 5.2 or Opus 4.5. But having a local instance running some Ralph loop overnight on a specific aspect for the price of electricity is alluring.

by andai 9mo ago

MuffinFlavored 9mo ago

Did you eventually move to a $20/mo Claude plan, $100/mo Claude plan, $200/mo, or API based? if API based, how much are you averaging a month?

andai 9mo ago
The $20 one, but it's hobby use for me, would probably need the $200 one if I was full time. Ran into the 5 hour limit in like 30 minutes the other day. I've also been testing OpenClaw. It burned 8M tokens during my half hour of testing, which would have been like $50 with Opus on the API. (Which is why everyone was using it with the sub, until Anthropic apparently banned that.) I was using GLM on Cerebras instead, so it was only $10 per half hour ;) Tried to get their Coding plan ("unlimited" for $50/mo) but sold out... (My fallback is I got a whole year of GLM from ZAI for $20 for the year, it's just a bit too slow for interactive use.)
- lostmsu 9mo ago
  Try Codex. It's better (subjectively, but objectively they are in the same ballpark), and its $20 plan is way more generous. I can use gpt-5.2 on high (prefer overall smarter models to -codex coding ones) almost nonstop, sometimes a few in parallel before I hit any limits (if ever).
holoduke 9mo ago
I now have 3 x 100 plans. Only then I an able to full time use it. Otherwise I hit the limits. I am q heavy user. Often work on 5 apps at the same time.
- auggierose 9mo ago
  Shouldn't the 200 plan give you 4x?? Why 3 x 100 then?
  - holoduke 9mo ago
    Good point. Need to look into that one. Pricing is also changing constantly with Claude

Aurornis 9mo ago

> but finding myself asking Sonnet to rewrite 90% of the code GLM was giving me. At some point I was like "what the hell am I doing" and just switched. This is a very common sequence of events. The frontier hosted models are so much better than everything else that it's not worth messing around with anything lesser if doing this professionally. The $20/month plans go a long way if context is managed carefully. For a professional developer or consultant, the $200/month plan is peanuts relative to compensation.

deaux 9mo ago
Until last week, you would've been right. Kimi K2.5 is absolutely competitive for coding. Unless you include it in "frontier", but that has usually been used to refer to "Big 3".
- bigiain 9mo ago
  Looks like you need at least a quarter terabyte or so of ram to run that though? (At todays ram prices upgrading to that for me would pay for a _lot_ of tokens...)
  - tkz1312 9mo ago
    unfortunately running anything locally for serious personal use makes no financial sense at all right now. 4x rtx 6000 pro is probably the minimum you need to have something reasonable for coding work.
    - deaux 9mo ago
      That's the setup you want for serious work yes, so probably $60kish all-in(?). Which is a big chunk of money for an individual, but potentially quite reasonable for a company. Being able to get effectively _frontier-level local performance_ for that money was completely unthinkable so far. Correct me if I'm wrong, but I think Deepseek R1 hardware requirements were far costlier on release, and it had a much bigger gap to market lead than Kimi K2.5. If this trend continues the big 3 are absolutely finished when it comes to enterprise and they'll only have consumer left. Altman and Amodei will be praying to the gods that China doesn't keep this rate of performance/$ improvement up while also releasing all as open weights.

icedchai 9mo ago

Same. I messed around with a bunch of local models on a box with 128GB of VRAM and the code quality was always meh. Local AI is a fun hobby though. But if you want to just get stuff done it’s not the way to go.

davidwritesbugs 9mo ago

Similar experience to me. I tend to let glm-4.7 have a go at the problem then if it keeps having to try I'll switch to Sonnet or Opus to solve it. Glm is good for the low hanging fruit and planning

PeterStuer 9mo ago

My very first tests of local Qwen-coder-next yesterday found it quite capable of acceptably improving Python functions when given clear objectives. I'm not looking for a vibe coding "one-shot" full project model. I'm not looking to replace GPT 5.2 or Opus 4.5. But having a local instance running some Ralph loop overnight on a specific aspect for the price of electricity is alluring.