Z.ai Works from Russia Terminal

ZCode

The official shell for GLM-5.3; plans are billed in weekly credits.

Verified: Sep 12last change: Sep 18next price check: Dec 11

Price
Lite $12.60 / Pro $56 / Max $117.60
License
not published
Model
GLM-5.3
model under the hood
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ZCode on GLM-5.3: tasks, git, and an 'ask before editing' mode
ZCode on GLM-5.3: tasks, git, and an 'ask before editing' mode

Facts with sources

  • The system prompt is almost entirely environment restrictions: don’t start the dev server, don’t run a build. Source (in Russian)
  • Claude Code + GLM-5.3 on Terminal-Bench: 41.82% of tasks solved for $2.7K, versus 51.82% for $6.0K with Opus 5. Source (in Russian)
  • Z.ai access isn’t restricted from Russia. Source (in Russian)

Strengths

  • Metered per prompt, not per token: Lite gives about 80 prompts per 5 hours and 400 a week, however many files the agent edits inside one.
  • Off-peak calls (anything outside 14:00–18:00 UTC+8 on weekdays) cost half the points, which covers almost the whole US and EU workday.
  • The app keeps the GLM cache above 98%; AICodeKing puts that at roughly 30% more effective tokens than a third-party harness.
  • Goal mode, project indexing, skills, MCP, a built-in browser, phone remote control and Telegram, WeChat and Feishu bots are included.

Weaknesses

  • Subagents are weak: project memory skips them, 3 of Superbash's 16 projects would not run, and 40% of a weekly Lite limit went in a day.
  • GLM-5.3 cannot see images; the screenshot MCP is only on Pro and above, so on Lite you cannot show it a broken screen.
  • Reasoning effort defaults to max, so a one-line fix burns quota on overthinking unless you lower it or say 'think less'.
  • Past roughly 200k tokens in one thread the output visibly degrades; you have to open a new thread and re-summarise.

Example from practice

An uptime-monitoring MVP on the free tier

Shcoder used Plan mode with GLM-5.3 at high reasoning effort to design a service that pings sites every minute and reports uptime as percentages with charts, then handed the build to the cheaper GLM-5.3 Flash. The service worked on the first pass: sites could be added, checks ran, uptime was computed. The agent skipped the incidents section the first time and had to be asked again; the dark theme was fine, the light theme came out rough. He deployed it publicly; the video does not state how many free-tier tokens the project consumed.

source: Shcoder, '100 МИЛЛИОНОВ токенов бесплатно?! Тестирую новый GLM 5.3 в ZCode' (in Russian)

What reviewers say

Reviewer opinions on their own tasks and hardware, not measurements. Links go to the videos; transcripts live in docs/raw-data.

Who it is for

  • Team on Next.js that needs an inexpensive model with access from Russia

Models in this agent

Score is from our manager-task benchmark; models without a score are not measured yet.

What changed

  • Traffic analysis: while a user is logged in, ZCode silently uploads the workspace, including the full git history, to Alibaba Cloud storage →
  • GLM 5.3 shipped: 1M-token context, API at $1.4 / $4.4 per million; ZCode runs on it by default →

How to brief an agent like this

The four-line brief is the Foundation module: prompt structure, LLM agents and MCP, an AI policy for the team. It starts with the free open module.

Open in the workspace