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Zhipu AI · Open weights

GLM-5.3-Flash API in India

Z.ai’s fast, low-cost GLM, and the first in the series to see images and video. Priced in Indian rupees for teams in India, on the same key as every other model.

Input₹19.11per 1M tokens
Output₹63.70per 1M tokens
BillingOne bill, in INRwith every other model

GLM-5.3-Flash API pricing in India

Input₹19.11 per 1M tokens · $0.195
Output₹63.70 per 1M tokens · $0.65
Cached input₹3.82 per 1M tokens · $0.039

In Indian rupees, the currency your card is charged in, with the published US dollar rate beside each.

For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost ₹121.03 — a long prompt and a page of answer each. Every rate is published and stays the same from one request to the next. See every model.

Prices are our published US dollar rates converted at ₹98.00 to the dollar, our rate for October — the same rate your card is charged.

About GLM-5.3-Flash

GLM-5.3-Flash is the volume tier of GLM-5.3 and the first GLM-5 model to take images and video as well as text. Before Z.ai put its name on it, it ran anonymously as “Ox Alpha” and drew more than 50 trillion tokens of traffic in five days. Z.ai reports 63.4% on DeepSWE, well up on GLM-5.2’s 46.2%.

Its weights are open under MIT. Like its bigger sibling, it always thinks before answering, which costs some speed on simple calls.

What is GLM-5.3-Flash good for?

  • Cheap, high-volume coding agents.
  • Reading screenshots, documents and video inside agent loops.
  • Long tool-use sessions where cost per task matters.

Where to be careful

  • Thinking cannot be switched off.
  • Its scores are Z.ai’s own, apart from one independent index.

Specs

Made byZhipu AI
ReleasedAugust 2026
TypeChat
Context window1M tokens
Longest answer128K tokens
ReadsText, Images, Video
Thinks before answeringAlways on
WeightsOpen (MIT)
Size320B total, 18B active
Processed inGlobal
Model idglm-5.3-flash

Using GLM-5.3-Flash from India

Roar AI provides access to GLM-5.3-Flash through the Roar AI gateway, charged in Indian rupees on one bill with every other model. Requests from India go through our gateway in Bangalore. Developers can use GLM-5.3-Flash alongside other supported models without a separate integration for every provider.

Use the OpenAI SDK you already have — point it at Roar AI and name the model. Read the docs.

from openai import OpenAI

client = OpenAI(base_url="https://api.roar-ai.com/v1", api_key="roar_live_…")

reply = client.chat.completions.create(
    model="glm-5.3-flash",
    messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)

Where is GLM-5.3-Flash processed?

Requests to GLM-5.3-Flash are processed on international infrastructure, outside India. The model directory says where each model is processed.

Questions

How much does GLM-5.3-Flash cost in India?

Input is ₹19.11 per 1M tokens; output is ₹63.70 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost ₹121.03. Prices are our published US dollar rates converted at ₹98.00 to the dollar, our rate for October — the same rate your card is charged. The rate is published and does not change from one request to the next.

Is GLM-5.3-Flash open source?

Its weights are open under the MIT licence, so you could run it yourself. Through Roar AI you call it like any other model, with no servers to manage.

Try GLM-5.3-Flash
on one key

Sign up, get a key and call it with the SDK you already use. Pay in your local currency, on one bill.