cd /news/large-language-models/progressedd-s-llms-ai-and-dev-corner · home topics large-language-models article
[ARTICLE · art-99279] src=forum.level1techs.com ↗ pub= topic=large-language-models verified=true sentiment=↓ negative

progressEdd's llms, ai, and dev corner

ProgressEdd, a developer, criticized GLM's updated coding plan for reduced token allowances, stating he will not upgrade and will keep his Legacy V2 plan due to GLM's openness in publishing weights and training techniques compared to Anthropic. He plans to save for hardware to run Deepseek V4 Flash locally and build datasets from his pi sessions. If his plan expires, he will follow opencode Reddit's advice to use OpenCode Go with MiniMax, recommending GLM5.1 as planner/reviewer and MiniMax M2.7 as a workhorse to avoid limits.

read1 min views12 publishedAug 17, 2026

Update, GLM altered the deal, if you sign up now, the coding plan isn’t as good anymore especially If you are a heavy consumer of tokens. I am unhappy by this decision and do not plan on upgrading. I will continue to hold my Legacy V2 plan because they more open in publishing their weights and training techniques than Anthropic.

At this point, I’m saving up and waiting until hardware is cheap enough to run Deepseek V4 Flash locally like sentdex

Also until hardware gets cheaper, I think I’ll try to build out the datasets based on my pi sessions for my own data flywheel like wendell

If my plan does expire, I will probably follow the guidance from the opencode reddit which recommends open code go + minimax I ended the OC GO limits in 2 full 5 hours sessions of GLM5.1+Qwen3.6Plus usage to implement one complex task. Speed was pretty good. If you go mainly for Qwen3.6 Plus and MiniMax M2.7, you’d have much more usage. Use the GLM5.1 as planner and reviewer only. Consider buy MiniMax Coding Plan + OC Go and use M2.7 as a workhorse, then you’d never hit the limits and M2.7 is fast even on 10$ plan.

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