Turn this customer email into JSON with intent, urgency and order_id.
customer-email.txtGLM 4.7 Flash
by Z.AIReleased 19 January 2026
GLM-4.7 Flash is a compact model that reads and writes text and keeps about 200 pages in mind at once. It balances quality against running cost and is tuned for coding assistants: planning long tasks, writing code and working with the tools you connect. Z.ai reports it leads other open models of its size on public tests.
What it costs
You pay for what each request uses. No subscription, no minimum.
One message, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Text tokens | 20,14 DA | 133,13 DA |
per 1M tokens
- When you pay
- After the answer, from your balance. Nothing is held.
- Why it varies
- A longer question or a longer answer costs more.
- After each one
- The exact charge shows on the request.
Where your request runs
Two companies run this model. OpenDunes sends each request to one of them, picked by price and speed. If it fails, the next one takes it. DA per 1M tokens: ↑ what you send · ↓ what comes back.
You pay the price of the provider that served your request. Prices read 15:19 · speed over the last 30 minutes · uptime over 3 days.
See it in action
Real requests, real replies. Try any of them yourself — one click, pre-filled.
Two lines to welcome a shop in Oran.
Welcome to our new shop in Oran — fresh bread every morning, and coffee the way the city likes it. Come in, the first cup is on us.
Try in Chat LabTry your own request — same model, pre-selected.
Open Chat LabCall it in code
Swap the base URL and the key. Your OpenAI code runs unchanged.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://opendunes.com/v1",
api_key=os.environ["OPENDUNES_API_KEY"],
)
resp = client.chat.completions.create(
model="z-ai/glm-4.7-flash",
messages=[{"role": "user", "content": "Two lines to welcome a shop in Oran."}],
)
print(resp.choices[0].message.content)Runs this request once on your balance.
Parameters you can send
Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.
Shaping the reply
How long, how varied, where to stop.
max_tokenstemperaturetop_ptop_kmin_pstopseedfrequency_penaltypresence_penaltyrepetition_penaltylogit_biaslogprobstop_logprobsReasoning
Let it think before answering — and see the thinking.
reasoninginclude_reasoningStructured output
Get JSON you can parse instead of prose.
response_formatstructured_outputsTools
Let the model call your functions.
toolstool_choiceQuestions about GLM 4.7 Flash
How much does GLM 4.7 Flash cost in dinars?
About 0,087 DA per message. ↑ 20,14 DA · ↓ 133,13 DA per 1M tokens.
Is GLM 4.7 Flash free? Can I try it?
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
What is GLM 4.7 Flash best for?
GLM-4.7 Flash is a compact model that reads and writes text and keeps about 200 pages in mind at once. It balances quality against running cost and is tuned for coding assistants: planning long tasks, writing code and working with the tools you connect. Z.ai reports it leads other open models of its size on public tests.
GLM 4.7 Flash or GLM 4.7?
GLM 4.7 costs 0,48 DA more for the same message.
How do I pay for GLM 4.7 Flash without an international card?
Deposit dinars with your Edahabia or CIB card. Every model, GLM 4.7 Flash included, is paid from that balance. No foreign card, no conversion.
Does GLM 4.7 Flash work in Arabic, French or Darja?
Z.ai lists English and Chinese. Arabic, French and Darja are not named.
Can it read PDFs, images or a whole book?
It reads text. Up to 200K tokens in one request, about 200 pages. It writes up to 88 000 words at once.
Is GLM 4.7 Flash open source?
Yes, its weights are public. Open weights on Hugging Face
Who makes GLM 4.7 Flash, and when was it released?
Z.AI. Released 19 January 2026.
Other Z.AI models, priced in dinars
See all Z.AI models#8 for agent work · GLM-5.3 Flash takes text, images and video, writes back text, and keeps about 1,000 pages in mind at once. Z.ai built it for light, quick coding and long tasks it carries out by itself, and says it stays accurate over very long material while using less computing. Pick it when the job includes screenshots or clips and you want to keep running costs down.
#2 for slide decks · GLM-5.3 reads and writes text, keeps about 1,000 pages in mind at once, and always thinks before it answers, though you choose low, high or maximum effort, with maximum the default. Z.ai says it beats the earlier GLM-5.2 at coding and gets good results without wasting effort. Pick it for demanding programming and long jobs it carries out by itself. GLM-5.3 Prime is a faster version of it, and GLM-5.3 Flash suits work with pictures and video.
#10 for games · GLM 5.2 thinks before it answers. It reads and writes text, keeps about 1,000 pages in mind at once, and can write an answer several hundred pages long. Z.ai made it for software projects from start to finish: it keeps track of the requirements, follows the same standards throughout, and carries a job from the first brief to release on several platforms, and you can ask it to think hard or at maximum.
The high-speed FlashX edition of GLM-5.3-Flash, reaching up to 200 tokens a second on the same 320B hybrid-attention model with 18B active, for efficient coding, visual understanding and long agent tasks