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GLM Latest API: toman pricing and code

~z-ai/glm-latest

This id is an alias that always points at the newest version of this model. Send a fixed version's id if answers must not change when a new version ships.

Tool callingReasoningJSON output
Create a keyTry it
Input · per 1M tokens
24,201 toman
Output · per 1M tokens
484,707 toman
One 1,000-word request ≈
662 toman

You are billed for the usage the request actually reported. Prices follow the market. Cached input: 23,855 toman per 1M tokens.Pricing and top-ups

GLM Latest example: JSON output against a schema

The example is picked from this model's own capabilities. Drop in your key and it runs as is.

from openai import OpenAI
import json

client = OpenAI(base_url="https://api.uttapen.ir/v1", api_key="sk-up-…")

schema = {
    "name": "ticket",
    "schema": {
        "type": "object",
        "properties": {
            "category": {"type": "string", "enum": ["fani", "mali", "forush"]},
            "priority": {"type": "integer", "minimum": 1, "maximum": 5},
            "summary": {"type": "string"},
        },
        "required": ["category", "priority", "summary"],
        "additionalProperties": False,
    },
    "strict": True,
}

resp = client.chat.completions.create(
    model="~z-ai/glm-latest",
    messages=[{"role": "user", "content": "Ticket: "For two days I cannot download my invoice and I was charged twice.""}],
    response_format={"type": "json_schema", "json_schema": schema},
)
print(json.loads(resp.choices[0].message.content))
import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.uttapen.ir/v1", apiKey: "sk-up-…" });

const resp = await client.chat.completions.create({
  model: "~z-ai/glm-latest",
  messages: [{ role: "user", content: "Ticket: "For two days I cannot download my invoice and I was charged twice."" }],
  response_format: {
    type: "json_schema",
    json_schema: {
      name: "ticket",
      strict: true,
      schema: {
        type: "object",
        properties: {
          category: { type: "string", enum: ["fani", "mali", "forush"] },
          priority: { type: "integer", minimum: 1, maximum: 5 },
          summary: { type: "string" },
        },
        required: ["category", "priority", "summary"],
        additionalProperties: false,
      },
    },
  },
});
console.log(JSON.parse(resp.choices[0].message.content));
curl https://api.uttapen.ir/v1/chat/completions \
  -H "Authorization: Bearer sk-up-…" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "~z-ai/glm-latest",
    "messages": [{"role": "user", "content": "Classify the ticket and give it a priority from 1 to 5."}],
    "response_format": {"type": "json_object"}
  }'

What is GLM Latest good for?

GLM Latest is one of Z.ai (GLM)'s models. Put "~z-ai/glm-latest" in the model field and the rest of your code stays as it is. GLM Latest keeps 1,048,576 tokens in view at once, and that number is what caps the conversation history in your product. A single response can run to 943,718 tokens. On price it sits in the "cheap" band — cheaper than 221 and dearer than 173 of the other paid models in the catalogue.

What it can do beyond plain text: it supports tool calling, so it can invoke your own functions with valid arguments; it returns schema-valid JSON through response_format, ready to hand to your code; it has a reasoning mode that pays off on multi-step problems, maths and debugging. All of it works through the standard parameters of the official OpenAI SDK — no custom client, no wrapper. Keep in mind that reasoning tokens are output tokens and do appear on the bill.

Pricing is 24,201 toman per 1M input tokens and 484,707 per 1M output tokens. A 1,000-word round trip on GLM Latest lands near 662 toman. It supports cached input: repeated context is billed at 23,855 toman per 1M, which matters a lot if your system prompt is long. You are always charged for the usage the request actually reported, never for the estimate, and a failed request costs nothing.

The closest alternative with the same capabilities from a different provider is Aion-3.0-Mini: GLM Latest works out about 29% cheaper, and its context window is larger. Both run on the same key and the same code, so trying the other one is a single string change.

To make the figure concrete: 100,000 toman of credit buys roughly 151 thousand-word requests on GLM Latest, and every 1,000 toman is about 1,511 words of round trip. A job with one million input tokens and one million output tokens comes to 508,908 toman in total. Filling this model's 1,048,576-token window costs 25,376 toman on the input side alone, which is the real reason to keep conversation history short.

Its nearest relative in the catalogue is "z-ai/glm-5.3", and choosing between those two is where most people hesitate. Both land at nearly the same price on a thousand-word request (662 and 662 toman).

Z.ai (GLM) has 21 models in our catalogue; the cheapest is GLM Flash Latest at 54 toman per thousand words and the dearest GLM 5.3 Prime at 5,221. Among the less common parameters it accepts logit_bias, logprobs, min_p, parallel_tool_calls, presence_penalty, reasoning_effort — all through the standard request body. By context size the nearest option from another provider is DeepSeek V4 Flash 0423 at 1,048,576 tokens.

Good fits: high-volume work such as classification, tagging and bulk summarising, logic puzzles and code review, agents that reach out to APIs and databases, extracting data against a fixed schema, analysing a long document or codebase in one request.

Provider's own description

This model always redirects to the latest GLM model from Z.ai.

Three real jobs, priced on this model

Each figure is derived from the prices above and moves when they do.

JobTokensCost
One chat turn with a medium history1,500 in + 400 out230 toman
Summarising a ten-page document4,000 in + 600 out388 toman
Classifying a thousand short rows120,000 in + 20,000 out12,598 toman

Price history

DateInput (toman/1M)Output (toman/1M)
27 Oct 202624,201484,707
27 Oct 202624,3391,517,929
27 Oct 202624,201484,707
27 Oct 202624,3391,517,929
26 Oct 202624,201484,707
25 Oct 202624,3391,517,929
25 Oct 202625,620484,707
24 Oct 202625,9661,487,012
24 Oct 202625,966545,295
20 Oct 202627,351484,707
20 Oct 202627,351484,707
20 Oct 202627,351484,707

Every price change for this model is recorded. Toman figures use today's rate.

Frequently asked

How do I call GLM Latest from Iran?
Sign up with your mobile number, top the wallet up in toman, create an API key, then in the official OpenAI SDK point base_url at https://api.uttapen.ir/v1 and set model to "~z-ai/glm-latest". Nothing else in your code changes.
What does GLM Latest cost in toman?
24,201 toman per 1M input tokens and 484,707 toman per 1M output tokens; a 1,000-word request is around 662 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does GLM Latest take?
Up to 1,048,576 tokens per request, roughly 786k words. A single answer can reach 943,718 tokens.
Does GLM Latest support streaming and tool calling?
Streaming (stream=true) works on every model here. This one supports tool calling in the standard OpenAI shape. Structured output through response_format works too.