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GLM-5.3

Z.ai · OpenAI-compatible API

z-ai/glm-5.3

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USD / 1M tokens

Input$0.99

Cached Input$0.245

Output$3.45

Context: 1M
Tool Calling: ✓
Reasoning: ✓
Vision: ✗
Streaming: ✓

OpenAI-compatible API

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.iteracompute.com/v1",
    api_key=os.environ["ITERACOMPUTE_API_KEY"],
)
response = client.chat.completions.create(
    model="z-ai/glm-5.3",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.iteracompute.com/v1",
  apiKey: process.env.ITERACOMPUTE_API_KEY,
});
const response = await client.chat.completions.create({
  model: "z-ai/glm-5.3",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

curl https://api.iteracompute.com/v1/chat/completions \
  -H "Authorization: Bearer $ITERACOMPUTE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/glm-5.3",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

z-ai/glm-5.3View Docs →

Catalog snapshot: 2026-10-09. Live prices have not been verified yet.

Overview

Access GLM-5.3 through the IteraCompute OpenAI-compatible API with 1M context, tool calling, reasoning and streaming.

Tasks and selection tradeoffs

Multi-step text agent evaluation

Exercise planning, tool arguments and error recovery on a controlled task.

Specification consistency review

Compare requirements and implementation with an explicit checklist.

Task suggestions based on catalog features and price, not model quality benchmarks.

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Pricing

Prices in USD per 1M tokens.

Input$0.99

Cached Input$0.245

Output$3.45

Example task: Compare implementation with a specification

Assume 25,000 aggregate input tokens and 2,500 billable output tokens across all calls. No cache hit.

25,000 × $0.99 / 1M + 2,500 × $3.45 / 1M = $0.033375

If usage actually reports 18,750 of those input tokens as cached, replace that portion at the cached-input rate ($0.245/1M): $0.019406. Cached tokens are part of total input, never added on top.

Illustrative calculation using the October 9, 2026 catalog snapshot, not a measured bill or promised task size. Live rates above may differ. Include every agent call and retry, repeated history and billable reasoning output; settle against actual usage and Console records.

Known limits and verification scope

Unlike GLM-5.3 Flash, this catalog entry does not list vision. Its higher price is not evidence of higher task quality; run the same acceptance tests for both.
Catalog context: 1,048,576 tokens. Input and requested output share the context budget; this is not a measured usable boundary.
The context and capability flags describe the public catalog. They do not establish a particular tool workflow or a quality score.
Start with one representative task. Check correctness, actual usage and response time before increasing traffic.
This page has no recorded end-to-end tool validation for this model. The integration examples let you run and record your own check.

Verified parameters and open questions

Parameter / protocol field	Evidence status
`model / messages`	Request example only; not live-verified for this model
`tools / tool_calls / tool messages`	Catalog lists tool calling; argument and result cycle unverified
`chat_template_kwargs.enable_thinking=false`	Qwen-specific option; do not copy to this model
`stream / temperature / top_p / max_tokens / response_format / reasoning_effort`	No verified values recorded for this exact model ID

A catalog capability flag is not a tested parameter value. Omit optional controls until checked with your exact model ID; an HTTP 200 alone does not prove the option took effect.

API

Base URL: https://api.iteracompute.com/v1
Endpoint: POST /v1/chat/completions
Model ID: z-ai/glm-5.3
Authentication: Authorization: Bearer ITERACOMPUTE_API_KEY

View Docs

FAQ

How do I use GLM-5.3 with the OpenAI SDK?

Set base_url to https://api.iteracompute.com/v1 and model to z-ai/glm-5.3. Authenticate with your IteraCompute API key.

What does GLM-5.3 cost?

See the pricing section for current input, cached-input and output rates in USD per 1M tokens. Check the refresh time before use.

What context length is available?

1,048,576 tokens.

Ready for your first request?

Create your key, choose a tool and get a non-empty first reply.

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