🎁 ZCode — 300M free GLM-5.3-Flash tokens every day (claim in the app)

AI-generated summary

:bullseye: What you get: 300 million daily GLM-5.3-Flash tokens worth up to $150 in the ZCode coding app.

:white_check_mark: Start here:

  • Install ZCode from zcode.z.ai and sign into a free or existing account.
  • Tap the promo card in the bottom-left corner when claims open at 11:00 UTC.
  • Select Global Building, switch to GLM-5.3-Flash, and run tasks.

:toolbox: Also useful:

  • Test the model on small refactors and unit tests before tackling larger jobs.
  • Restart the desktop app completely if the promo card fails to load.

:warning: Watch out:

  • Tokens activate at 15:00 UTC and expire daily at 01:00 UTC.

ZCode is Z.ai’s coding app for GLM-5.3 — macOS, Windows and Linux — and it puts 300M GLM-5.3-Flash tokens into every account, every day. Free accounts included.

At list price ($0.15 per million in, $0.50 per million out) that daily batch is worth $45 to $150 of model time, on work you would otherwise pay for.

:alarm_clock: The daily clock, in UTC

11:00   claim opens inside the app
15:00   the tokens go live
01:00   that day's batch closes

11:00 arrives again the next morning, so the cycle runs daily, and the next claim is always one day away.

:admission_tickets: How to claim it

  1. Install ZCode from zcode.z.ai and sign in with your Z.ai account — new accounts also open with a 5-day starter trial.
  2. Update to the latest build, open it, and tap the promo card in the bottom-left corner.
  3. Switch to Global Building, pick GLM-5.3-Flash, and start a task; the claimed tokens are already on the account.

If the card is playing hide-and-seek, quit ZCode completely and reopen it — the promo reloads with the app.

This weekend the same card carries a bigger drop that stays usable for longer, with the amount printed on it when you open it.

3 إعجابات

The daily claim window is the part that makes this practical for regular coding work, because a fixed refresh time lets me plan larger tasks instead of rationing tokens across the week. For everyday use, I would start with small, well-scoped tasks such as refactoring a single function or writing tests, since that shows quickly whether the Flash model fits a particular codebase. The restart tip is also worth noting, because a missing promo card can look like a lost benefit when it is really just a stale app state. A useful habit would be to check the claim early in the day and keep notes on which kinds of prompts use the most tokens, so the daily batch lasts through the work that matters most. Overall, this reads like a low-risk way to compare a fast model against heavier options before committing real budget to a longer project.