Zhipu AI

Available Popular

GLM 5.3

GLM 5.3 API

Name: GLM 5.3 API
Brand: CometAPI
SKU: GLM 5.3
Price: 75 USD
Availability: InStock

Build production AI experiences with GLM 5.3 through one stable API.

Starting price

$75.00 / 1M input tokens

Usage-based billing

API health

Available

Production endpoint

Response

Async ready

Observed API response

Released

Aug 17, 2026

Zhipu AI

Overview

A practical overview of GLM 5.3, including important behavior and integration considerations.

Pricing

Use the quick estimate above for a single run, then review the full CometAPI and official-price comparison.

First request

$0.15

Estimated CometAPI usage cost

Ten requests

$1.50

Estimated CometAPI usage cost

Fifteen requests

$2.25

Estimated CometAPI usage cost

Pricing for GLM 5.3

Explore competitive pricing for GLM 5.3, designed to fit various budgets and usage needs. Our flexible plans ensure you only pay for what you use, making it easy to scale as your requirements grow. Discover how GLM 5.3 can enhance your projects while keeping costs manageable.

Comet Price (USD / M Tokens)	Official Price (USD / M Tokens)	Discount
Input:$75/M Output:$75/M	Input:$75/M Output:$75/M	-

API

Copy a working endpoint and code example, then open the complete API reference when you need every parameter.

One API, production-ready model access

Authenticate once, call the model endpoint and keep the same billing and observability workflow across providers.

Sample code and API for GLM 5.3

Access comprehensive sample code and API resources for GLM 5.3 to streamline your integration process. Our detailed documentation provides step-by-step guidance, helping you leverage the full potential of GLM 5.3 in your projects.

#!/usr/bin/env bash

# Get your CometAPI key from https://www.cometapi.com/console/token
COMETAPI_KEY="${COMETAPI_KEY:-<YOUR_COMETAPI_KEY>}"

curl_args=(
  --silent
  --show-error
  --max-time 180
  https://api.cometapi.com/v1/chat/completions
  -H "Content-Type: application/json"
  -H "Authorization: Bearer $COMETAPI_KEY"
  -d '{
    "model": "glm-5.3",
    "messages": [
      {
        "role": "user",
        "content": "Reply with one short sentence confirming that you are ready."
      }
    ],
    "max_tokens": 64
  }'
)

if [[ "${COMETAPI_RUNTIME_EVIDENCE:-}" == "1" ]]; then
  curl_args+=(
    --write-out $'%{stderr}__COMETAPI_RUNTIME__{"http_status":%{http_code},"headers":{"content-type":"%header{content-type}","x-cometapi-request-id":"%header{x-cometapi-request-id}","x-request-id":"%header{x-request-id}","request-id":"%header{request-id}","cf-ray":"%header{cf-ray}"}}
'
  )
fi

response=$(curl "${curl_args[@]}")

printf '%s
' "$response" | python -c \
  'import json, sys; message = json.load(sys.stdin)["choices"][0]["message"]; print(message.get("content") or message)'

cURL Code Example

#!/usr/bin/env bash

# Get your CometAPI key from https://www.cometapi.com/console/token
COMETAPI_KEY="${COMETAPI_KEY:-<YOUR_COMETAPI_KEY>}"

curl_args=(
  --silent
  --show-error
  --max-time 180
  https://api.cometapi.com/v1/chat/completions
  -H "Content-Type: application/json"
  -H "Authorization: Bearer $COMETAPI_KEY"
  -d '{
    "model": "glm-5.3",
    "messages": [
      {
        "role": "user",
        "content": "Reply with one short sentence confirming that you are ready."
      }
    ],
    "max_tokens": 64
  }'
)

if [[ "${COMETAPI_RUNTIME_EVIDENCE:-}" == "1" ]]; then
  curl_args+=(
    --write-out $'%{stderr}__COMETAPI_RUNTIME__{"http_status":%{http_code},"headers":{"content-type":"%header{content-type}","x-cometapi-request-id":"%header{x-cometapi-request-id}","x-request-id":"%header{x-request-id}","request-id":"%header{request-id}","cf-ray":"%header{cf-ray}"}}\n'
  )
fi

response=$(curl "${curl_args[@]}")

printf '%s\n' "$response" | python -c \
  'import json, sys; message = json.load(sys.stdin)["choices"][0]["message"]; print(message.get("content") or message)'

Python Code Example

import json
import os
import sys

import httpx


# Get your CometAPI key from https://www.cometapi.com/console/token
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"

with httpx.Client(
    timeout=180.0,
    transport=httpx.HTTPTransport(retries=0),
) as client:
    response = client.post(
        "https://api.cometapi.com/v1/chat/completions",
        headers={
            "Authorization": f"Bearer {COMETAPI_KEY}",
            "Content-Type": "application/json",
        },
        json={
            "model": "glm-5.3",
            "messages": [
                {
                    "role": "user",
                    "content": (
                        "Reply with one short sentence confirming that you are ready."
                    ),
                }
            ],
            "max_tokens": 64,
        },
    )

if os.environ.get("COMETAPI_RUNTIME_EVIDENCE") == "1":
    safe_headers = {
        name: response.headers.get(name)
        for name in (
            "cf-ray",
            "content-length",
            "content-type",
            "date",
            "request-id",
            "server",
            "x-cometapi-request-id",
            "x-request-id",
        )
        if response.headers.get(name) is not None
    }
    print(
        "__COMETAPI_RUNTIME__"
        + json.dumps({"http_status": response.status_code, "headers": safe_headers}),
        file=sys.stderr,
    )

response.raise_for_status()
message = response.json()["choices"][0]["message"]
print(message.get("content") or message)

JavaScript Code Example

// Get your CometAPI key from https://www.cometapi.com/console/token
const COMETAPI_KEY = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";

const response = await fetch("https://api.cometapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${COMETAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "glm-5.3",
    messages: [
      {
        role: "user",
        content: "Reply with one short sentence confirming that you are ready.",
      },
    ],
    max_tokens: 64,
  }),
  signal: AbortSignal.timeout(180_000),
});

if (process.env.COMETAPI_RUNTIME_EVIDENCE === "1") {
  const safeHeaderNames = [
    "cf-ray",
    "content-length",
    "content-type",
    "date",
    "request-id",
    "server",
    "x-cometapi-request-id",
    "x-request-id",
  ];
  const headers = Object.fromEntries(
    safeHeaderNames
      .map((name) => [name, response.headers.get(name)])
      .filter(([, value]) => value !== null),
  );
  console.error(
    `__COMETAPI_RUNTIME__${JSON.stringify({
      http_status: response.status,
      headers,
    })}`,
  );
}

if (!response.ok) {
  throw new Error(`CometAPI request failed with HTTP ${response.status}`);
}

const message = (await response.json()).choices[0].message;
console.log(message.content || JSON.stringify(message));

Capabilities

Scan the model facts that matter before you choose an architecture or estimate production workload.

Supported capabilities

Features returned by the existing model API.

text-to-text

Input and output

Inputs

text

Outputs

Production profile

Provider: Zhipu AI
Context: Model specific
Commercial use: Supported

Use cases

Use GLM 5.3 for production workflows that match its capabilities, then compare alternatives before committing to a long-term integration.

Production chat and agent workflows

Coding, analysis and structured generation

High-volume automation through one API

Other models

Compare other models available through CometAPI for different quality, latency, capability and pricing trade-offs.

Open model comparison →

DeepSeek

DeepSeek-OCR

DeepSeek-OCR is an optical character recognition model for extracting text from images and documents. It processes scanned pages, photos, and UI screenshots to produce transcriptions with layout cues such as line breaks. Common uses include document digitization, invoice and receipt intake, search indexing, and enabling RPA pipelines. Technical highlights include image-to-text processing, support for scanned and photographed content, and structured text output for downstream parsing.

View model

Midjourney

mj_fast_modal

Explore the mj_fast_modal API.

View model

Midjourney

mj_fast_edits

Explore the mj_fast_edits API.

View model

Flux

flux-pro-finetuned

Explore the flux-pro-finetuned API.

View model

Flux

flux-pro-1.1-ultra-finetuned

Explore the flux-pro-1.1-ultra-finetuned API.

View model

Flux

flux-pro-1.1-ultra

Explore the flux-pro-1.1-ultra API.

View model

Uptime

Review live heartbeat data, endpoint availability and observed response times before moving into production.

Keep exploring

Compare models and continue your research

Pricing for GLM 5.3

Comet Price (USD / M Tokens)	Official Price (USD / M Tokens)	Discount
Input:$75/M Output:$75/M	Input:$75/M Output:$75/M	-

Sample code and API for GLM 5.3

#!/usr/bin/env bash

# Get your CometAPI key from https://www.cometapi.com/console/token
COMETAPI_KEY="${COMETAPI_KEY:-<YOUR_COMETAPI_KEY>}"

curl_args=(
  --silent
  --show-error
  --max-time 180
  https://api.cometapi.com/v1/chat/completions
  -H "Content-Type: application/json"
  -H "Authorization: Bearer $COMETAPI_KEY"
  -d '{
    "model": "glm-5.3",
    "messages": [
      {
        "role": "user",
        "content": "Reply with one short sentence confirming that you are ready."
      }
    ],
    "max_tokens": 64
  }'
)

if [[ "${COMETAPI_RUNTIME_EVIDENCE:-}" == "1" ]]; then
  curl_args+=(
    --write-out $'%{stderr}__COMETAPI_RUNTIME__{"http_status":%{http_code},"headers":{"content-type":"%header{content-type}","x-cometapi-request-id":"%header{x-cometapi-request-id}","x-request-id":"%header{x-request-id}","request-id":"%header{request-id}","cf-ray":"%header{cf-ray}"}}
'
  )
fi

response=$(curl "${curl_args[@]}")

printf '%s
' "$response" | python -c \
  'import json, sys; message = json.load(sys.stdin)["choices"][0]["message"]; print(message.get("content") or message)'

cURL Code Example

#!/usr/bin/env bash

# Get your CometAPI key from https://www.cometapi.com/console/token
COMETAPI_KEY="${COMETAPI_KEY:-<YOUR_COMETAPI_KEY>}"

curl_args=(
  --silent
  --show-error
  --max-time 180
  https://api.cometapi.com/v1/chat/completions
  -H "Content-Type: application/json"
  -H "Authorization: Bearer $COMETAPI_KEY"
  -d '{
    "model": "glm-5.3",
    "messages": [
      {
        "role": "user",
        "content": "Reply with one short sentence confirming that you are ready."
      }
    ],
    "max_tokens": 64
  }'
)

if [[ "${COMETAPI_RUNTIME_EVIDENCE:-}" == "1" ]]; then
  curl_args+=(
    --write-out $'%{stderr}__COMETAPI_RUNTIME__{"http_status":%{http_code},"headers":{"content-type":"%header{content-type}","x-cometapi-request-id":"%header{x-cometapi-request-id}","x-request-id":"%header{x-request-id}","request-id":"%header{request-id}","cf-ray":"%header{cf-ray}"}}\n'
  )
fi

response=$(curl "${curl_args[@]}")

printf '%s\n' "$response" | python -c \
  'import json, sys; message = json.load(sys.stdin)["choices"][0]["message"]; print(message.get("content") or message)'

Python Code Example

import json
import os
import sys

import httpx


# Get your CometAPI key from https://www.cometapi.com/console/token
COMETAPI_KEY = os.environ.get("COMETAPI_KEY") or "<YOUR_COMETAPI_KEY>"

with httpx.Client(
    timeout=180.0,
    transport=httpx.HTTPTransport(retries=0),
) as client:
    response = client.post(
        "https://api.cometapi.com/v1/chat/completions",
        headers={
            "Authorization": f"Bearer {COMETAPI_KEY}",
            "Content-Type": "application/json",
        },
        json={
            "model": "glm-5.3",
            "messages": [
                {
                    "role": "user",
                    "content": (
                        "Reply with one short sentence confirming that you are ready."
                    ),
                }
            ],
            "max_tokens": 64,
        },
    )

if os.environ.get("COMETAPI_RUNTIME_EVIDENCE") == "1":
    safe_headers = {
        name: response.headers.get(name)
        for name in (
            "cf-ray",
            "content-length",
            "content-type",
            "date",
            "request-id",
            "server",
            "x-cometapi-request-id",
            "x-request-id",
        )
        if response.headers.get(name) is not None
    }
    print(
        "__COMETAPI_RUNTIME__"
        + json.dumps({"http_status": response.status_code, "headers": safe_headers}),
        file=sys.stderr,
    )

response.raise_for_status()
message = response.json()["choices"][0]["message"]
print(message.get("content") or message)

JavaScript Code Example

// Get your CometAPI key from https://www.cometapi.com/console/token
const COMETAPI_KEY = process.env.COMETAPI_KEY || "<YOUR_COMETAPI_KEY>";

const response = await fetch("https://api.cometapi.com/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${COMETAPI_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "glm-5.3",
    messages: [
      {
        role: "user",
        content: "Reply with one short sentence confirming that you are ready.",
      },
    ],
    max_tokens: 64,
  }),
  signal: AbortSignal.timeout(180_000),
});

if (process.env.COMETAPI_RUNTIME_EVIDENCE === "1") {
  const safeHeaderNames = [
    "cf-ray",
    "content-length",
    "content-type",
    "date",
    "request-id",
    "server",
    "x-cometapi-request-id",
    "x-request-id",
  ];
  const headers = Object.fromEntries(
    safeHeaderNames
      .map((name) => [name, response.headers.get(name)])
      .filter(([, value]) => value !== null),
  );
  console.error(
    `__COMETAPI_RUNTIME__${JSON.stringify({
      http_status: response.status,
      headers,
    })}`,
  );
}

if (!response.ok) {
  throw new Error(`CometAPI request failed with HTTP ${response.status}`);
}

const message = (await response.json()).choices[0].message;
console.log(message.content || JSON.stringify(message));