GLM
“A Chinese AI that’s strong at coding” — a fast worker you can hire cheap
What is GLM?
GLM is a family of models from China’s Zhipu AI, offered through a chat interface called Z.ai and a developer API. Its distinguishing feature is a separate monthly subscription plan for use inside coding tools.
- 1A low-cost bundle of models for coding and documents
- 2Flash-series models are free in the official pricing table
- 3A separate monthly plan covers use inside coding tools
What sets it apart
These are the differences we found by running the same material through several tools in our training sessions.
Some models are free to use
The official pricing documentation lists GLM-4.7-Flash, GLM-4.5-Flash, and GLM-4.6V-Flash as Free. They are not the highest-performing models, but for high-volume, simple-judgment tasks such as auto-classification or summarization, you can run them at almost no cost.
Plugs straight into the coding tool you already use
The official developer documentation states that this monthly plan works with tools such as Claude Code, Cline, and OpenCode. You swap in only the model without changing tools, so you keep a workflow you already know and lower the cost.
Unit prices are published in a table
The official documentation lists input and output prices per model side by side, per 1M tokens. GLM-5.3 costs $1.40 for input and $4.40 for output; GLM-4.7-FlashX costs $0.07 for input and $0.40 for output. Being able to calculate in advance what each model will cost makes a big difference for anyone building a budget.
⚖️ The weaknesses are clear, too
Its use leans toward development. The official monthly plan is described mainly around connecting coding tools, and the pricing, free tier, and terms for the chat interface (chat.z.ai) are hard to verify in official documentation because the page is rendered by script. For non-developers, it’s a high bar to start on your own.
💡 In plain EnglishThink of it as hiring a skilled, low-cost worker by the month: less a polished office clerk, more a quick-handed field hand.
Because of cost, AI coding assistants often go to only a few people on each team. When the price drops into single digits, 'should we give it to everyone?' becomes a real question for the first time. This tool is what changed that math.
Same job, different approach
You need to sort thousands of internal inquiry emails into categories
The old way
- Download it to Excel and read it row by row
- It sets categories, then loses its criteria midway
- Splitting it over several days leaves the pieces inconsistent
- In the end it counts only a sample and estimates the rest
With GLM
- Pull out only the sentences with personal data removed
- Try category sorting with the free Flash model
- Pick out only the wrong ones and restate your criteria
- Run the full set, and have a person review only a sample
Common uses
Auto-sorting large volumes of text
Sorts high-volume text such as inquiries and reviews into categories. Always remove personal data before entering it.
Cutting coding tool costs
Swap only the model in the coding tool you already use and compare the monthly cost. Measure output quality too.
Bulk draft generation
Generate several drafts of product descriptions or notice copy. A person must always edit them before publishing.
Who it’s for
Best for
- ✓Development teams looking to cut the monthly cost of AI coding assistants
- ✓Practitioners who want to automate high-volume work with simple judgment calls
- ✓Anyone who wants to switch models and measure performance against cost
Better served by other tools
- –Work that involves customer information or confidential company data
- –Beginners who want to use it right away, with no installation or setup
- –Work where the formal register of Korean prose is critical to the result
Can we use it at work?
The questions that adoption leads and security teams ask first.
Note: We could not confirm in official documentation where data is stored, how long it is retained, or whether a separate regional deployment is offered for enterprises. Assume the service is provided by a Chinese entity, and have your legal team review the original terms before adopting it company-wide.
10-minute quick start
- 1
Go to chat.z.ai and ask one question in Korean to get a feel for it.
- 2
If it proves useful, create an account in the developer console and try the free Flash models.
- 3
Test it only with public material that has personal information removed.
- 4
When connecting it to a coding tool, try it for just one week on a personal practice repository first.
Copy-and-paste prompts
Replace only the [bracketed] parts, then paste it in.
Read the 50 sentences below and suggest 5–7 categories these texts could be sorted into. For each category, give a one-line definition and two examples. Don't classify yet; just show the criteria. [paste sentences]
Here are the final categories: [category list]. Sort the text below line by line into one of these categories. If something fits none, put it under 'Other', and mark ambiguous ones as 'Review'. Give the result as a three-column table: original text, category, notes. [paste text]
Explain what the code below does in three steps. ① A one-sentence summary ② Inputs and outputs ③ Three ways it could go wrong. Don’t suggest fixes; just explain. [Paste code that is safe to share]
Write five versions of the copy for [product/service]. Keep each to two sentences or fewer, in these tones: ① plain ② friendly ③ formal ④ short and punchy ⑤ numbers first. Do not use exaggerated claims or unsupported figures.
Write out, step by step, how you solved this task. Then mark how difficult each step’s judgment is: High, Medium or Low. If the task has only 'Low' steps, tell me whether a lighter model could handle it.
Using it with other tools
Linking two or three tools changes your work more than any single tool does.
Sorting inquiries into categories (one day)
Comparing coding costs (one week)
Before you start
- Plugged into a coding tool, your source code leaves your network. Do not use it with internal repositories.
- A model marked free is not the top performer. Give it only the jobs it suits.
- We could not confirm chat pricing or free-tier limits in the official documentation. Check the checkout page for current terms.
- The official documentation does not make clear where data is stored. Do not enter customer information or confidential data.
Pricing: personal use and work use
Plans that individuals pay for are different from plans that organizations contract for by member.
For individual use
The official pricing table lists it as Free.
The official docs say Pro and Max tiers also exist, but no prices are listed.
$0.40 per 1M output tokens
Output is $4.40 per 1 million tokens
Using it at work
The official API page explains how to buy usage bundles and where to contact the company about business partnerships; no prices are shown.
Checked 21 Sep 2026 · US dollar prices as listed in the model price table and the coding monthly plan guide in Z.ai’s official developer docs. The amount on the actual checkout screen may differ depending on billing cycle and current promotions. Prices change without notice, so check the official page before you pay. Z.ai official model pricing ↗ · Z.ai official coding monthly plan guide ↗ · Z.ai official API platform ↗
Where GLM falls short
We don’t just list the positives. Here is what fell short when we used it.
- Hard for a practitioner to get started alone
The guides are written for developers, so a planner or marketer opening it alone won’t know where to click. They end up calling over the developer at the next desk.
- Too many model names
Flash, FlashX, Air, AirX: the names are so similar that you check the table every time you choose. And a wrong pick can multiply your bill several times over.
- Korean-language results are uneven
Even with the same request, some days the output is clean and other days it comes out with awkward, translated-sounding phrasing. For copy going out to customers, a person ends up reworking it anyway.
Tools to compare
DeepSeekChina’s cheap, fast flagship AI→
QwenAlibaba’s multilingual AI→
CodexCoding AI bundled with ChatGPT plans→
Claude CodeCoding AI that works in the terminal→
CursorAI pair-programming tool for developers→FAQ
Last updated 22 Sep 2026 · The ratings on this page come from John Kim, CEO of Nanum Consulting, who has used these tools firsthand in training and real work.
Putting GLM to work for your team
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