NeuralBridgeDocumentation

GLM-5.3

unofficialchat
DeveloperZhipu AI
Identifierz-ai/glm-5.3-01402

GLM-5.3 specifications

Context window1M
Max output tokens131072
Release date2026-09-15
InputText
OutputText

GLM-5.3 pricing in rubles

You pay for what you use, per token and per unit. The final request cost is returned in the API response.

TypePrice
Input tokens280 ₽ per 1M tokens
Output tokens880 ₽ per 1M tokens
Cache read56 ₽ per 1M tokens

Prices are in rubles and may change with exchange rates.

What GLM-5.3 can do

GLM-5.3 API: connection and code examples

The service exposes a single OpenAI-compatible API. Set our base_url and the key from your dashboard.

OpenAI Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.neuralbridge.ru/v1",
)

response = client.chat.completions.create(
    model="z-ai/glm-5.3-01402",
    messages=[{"role": "user", "content": "Привет! Расскажи о себе."}],
)

print(response.choices[0].message.content)

Python (requests)

import requests

response = requests.post(
    "https://api.neuralbridge.ru/v1/chat/completions",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={
        "model": "z-ai/glm-5.3-01402",
        "messages": [{"role": "user", "content": "Привет! Расскажи о себе."}],
    },
)

print(response.json()["choices"][0]["message"]["content"])

cURL

curl https://api.neuralbridge.ru/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/glm-5.3-01402",
    "messages": [{"role": "user", "content": "Привет! Расскажи о себе."}]
  }'

API endpoints

POST /v1/chat/completionsprimaryChat Completions
The main chat endpoint: takes a message history and returns the model reply. Supports streaming and regular modes.
POST /v1/responsesResponses
Alternative chat format with state and structured output.
POST /v1/messagesMessages
Anthropic format: the same chat for clients and SDKs written for Claude.
POST /v1/converseConverse
Amazon Bedrock Converse format, for clients written against it.
POST /v1/converse-streamConverse Stream
Streaming variant of the Bedrock Converse format.
POST /v1/generateContentGenerate Content
Google Gemini format, for clients and SDKs written against it.
POST /v1/streamGenerateContentStream Generate Content
Streaming variant of the Gemini format.

Supported request parameters

ParameterDefaultAllowed valuesDescription
temperature1—Controls how varied the answer is: higher values make the output more random, lower values more predictable.
top_p1—Nucleus sampling: only the most probable tokens whose probabilities add up to P are considered.
max_tokens——Upper limit on the number of tokens the model may generate in its answer.
presence_penalty0—Penalizes tokens that already appeared in the text, nudging the model toward new topics.
frequency_penalty0—Penalizes tokens in proportion to how often they already appeared — fights repetition.
stop——List of stop strings: generation halts as soon as the model produces any of them.
seed——Pins randomness: repeating a request with the same seed and parameters returns the same result.
response_format——Response format: plain text or strict JSON following a given schema.
streamfalse—Deliver the answer as a stream while it is generated instead of one chunk at the end.
tools———
tool_choice———
parallel_tool_calls———
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