GLM Coding Plan Discount: ZCode Test and Savings with WorkBuddy/DeepSeek

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Conclusion First: After Three Months of Juggling AI Subscriptions and APIs, I Switched My Primary Tool to GLM Coding Plan

Since June, this site has been throwing errors every other day because I've been messing around with AI on my own server—switching architectures, restructuring, testing themes, installing plugins. I've basically tried every AI experience available. Calculating the mainstream options both domestic and international, aside from Qianwen and "Some A," I've used them all. I've spent several thousand yuan on various memberships and APIs alone.

After hitting a few snags, here's the convenient conclusion for you: for actual programming and hands-on work experience, GLM paired with ZCode is already quite close to Codex; and by token cost, the GLM Coding Plan is currently the best-suited option for a "primary AI." This article lays out my actual usage data, money-saving combinations, and invite registration links.

GLM Coding Plan Real Usage Test: How Much Work Can 100 Million Tokens Handle in a Week?

Many people are curious about whether AI subscriptions are sufficient. I'm breaking it down for you based on my real backend data (different models fluctuate slightly; the figures below are typical values):

  • Billing standard: generally 1 point ≈ 10,000 tokens;
  • The GLM Coding Plan gives about 10,000 points weekly, meaning 100 million tokens/week;
  • A single conversation (one complete task, including multiple rounds of tool calls) typically consumes 1–2 million tokens, which comes to 100–200 points;
  • Based on this, about 80 full conversations can be supported per week.

If your project is already relatively stable and mainly requires maintenance and iterative updates, a lightweight entry-level membership is more than enough. GLM also offers reset bonuses and promotional activities, making it fairly comfortable. My approach is to use it as my primary tool—80 rounds of tasks per week handle site modifications, script writing, and troubleshooting server issues.

Free Combination: WorkBuddy Check-in Credits + Monthly Bonus Credits, About 3,500 Points per Month

If you don't want to spend money upfront, you can pair it with WorkBuddy's free credits:

  • Check in daily to earn credits, plus the 500 free monthly bonus, and you can accumulate about 3,500 points in a month;
  • Using the same standard as above, 1 point ≈ 10,000 tokens, and a single conversation costs around 100–200 points;
  • Credits can be saved up for concentrated use.

Whether or not to upgrade to WorkBuddy's paid membership is up to you: for most people, even slightly stable tasks will burn through the free allowance in a day or two—making an error, fixing it, and then cleaning up process debris basically drains it to zero. So I suggest treating WorkBuddy as a supplement and backup, used alongside your primary subscription. For ordinary users, this combination is pretty much sufficient.

Not Enough? Layer in DeepSeek API Pay-as-You-Go as a Safety Net

If the above two combinations still aren't enough, add a layer of DeepSeek API pay-as-you-go as a backup, and that should cover most people's needs. The estimate here uses DeepSeek Flash (ds4flash) as the midpoint: currently, from the threshold of "can start working and can get results," ds4flash is the entry line—in other words, AI is truly beginning to become a productive force. Even if you're annoyed by all the news about it, I recommend staying attentive, especially focusing on how it impacts your industry and specific scenarios.

GPT (Codex) Is Still the Smartest, but It Also Has the Highest Barrier to Entry

To be fair, if you can manage GPT, when it comes to "resetting" (daring to scrap and start over, not cutting corners) and raw intelligence, the optimal choice is still GPT/Codex. My usage order is: prioritize GPT for important, complex tasks; hand over daily high-frequency site edits, maintenance, and scripts to GLM; use free credits and pay-as-you-go APIs as supplements. Friends who need GPT can register via this invite link: GPT Invite Registration Entry.

Why I Recommend Buying a Good One from the Start: It's the Difference Between an iPhone and a Budget Android

Personal opinion: if your budget allows, buy the better one right from the start. The experience gap between good AI and bad AI is stark—cheap AI has higher error and failure rates, requiring you to waste enormous energy "taming" it just to get any results. It looks cheap upfront, but when you factor in the time you invest, the comprehensive cost isn't necessarily cheaper. It's like the difference between buying an iPhone and a budget Android: the good one costs more upfront, but it saves your neck later on.

About the International Version: Registration, Discounts, and Tips for Foreign Currency Credit Cards

The GLM referral links in this article are for the international version. It doesn't affect usage in China, and registering through an invite gives you an extra 10% discount. Additionally, choosing the international version has two small benefits:

  1. I'm relatively optimistic about the trend of the RMB being forced to appreciate; using the international version to buy memberships might actually be cheaper;
  2. If you have a foreign currency credit card, you can charge the purchase and participate in cashback promotions from card networks/banks, saving a bit more. It's not much, but it's better than nothing.

Registration Links Summary

Service Positioning Invite Registration Link Discount
GLM Coding Plan (International Version) + ZCode Primary AI, best cost-performance ratio jinbufenzi.com/go/e4i554 10% off first order
GPT / Codex Smartest, first choice for complex tasks jinbufenzi.com/go/5ei194 Subject to official promotions
WorkBuddy Free credit supplement jinbufenzi.com/go/jj4374 Check-in + 500 monthly free credits
DeepSeek API Pay-as-you-go backup Register directly on the official website Pay by usage

Frequently Asked Questions

Q: What discounts come with the GLM Coding Plan invite registration?
Registering through the invite link gives you a 10% discount on your first GLM Coding Plan subscription, limited to the first order only.

Q: Are 100 million tokens per week sufficient?
Calculated at 1–2 million tokens per single task, you can run about 80 full conversations per week. It's enough for maintenance and lightweight projects; for high-frequency heavy use, I recommend pairing it with WorkBuddy credits and DeepSeek API as a backup.

Q: How do I get WorkBuddy's free credits?
Daily check-ins + 500 monthly bonus credits amount to about 3,500 points per month (1 point ≈ 10,000 tokens), which you can save up for concentrated use.

Q: Can the international version link be used in China?
Yes. Registering for the international version via the invite link also gets the 10% first-order discount, and it doesn't affect normal usage.

Note: This article is based on real personal experience, optimized with AI before publication.

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