GLM-5.2 Instant

Z.ai’s model for long agentic coding tasks, with a 1M-token context and a choice of how long it thinks. Answers without a reasoning phase.

Start buildingOpen dashboard

Context window
1M tokens
Accepts
Text
Input per 1M tokens
$1.50
Output per 1M tokens
$4.50

Send your first request

Set LYCEUM_API_KEY to your API key, then run this request. Usage is billed to your account.

Base URL
https://api.lyceum.technology/openai/v1
Model ID
z-ai/glm-5.2-instant
Request fields
model, messages, stream, max_tokens, tools, tool_choice

Documented request fields for this endpoint. See the documentation for model-specific controls and limits.

app.py · Install openai and set LYCEUM_API_KEY

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["LYCEUM_API_KEY"],
    base_url="https://api.lyceum.technology/openai/v1",
)

response = client.chat.completions.create(
    model="z-ai/glm-5.2-instant",
    messages=[{"role": "user", "content": "Hello!"}],
)

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

What it costs and how fast it runs

You pay only for the tokens you use. Speed figures come from our own status checks.

Token pricing

GLM-5.2 Instant: token prices in US dollars per million tokens
USD per million tokens
Input$1.50
Cached input$0.38
Output$4.50

No base fee. Caching applies only where listed. Check the model's processing region before sending data.

Speed on Lyceum

GLM-5.2 Instant: median speed in our status checks over the last 7 days
Last 7 days
Time to first token391 ms
Output speed49 tokens/s

Median over the last 7 days from our status checks: short requests. Measured 6 October 2026, 23:38 UTC. Reasoning tokens count towards both figures. Live status and availability

The model in detail

Checked against the sources below. Anything they don't state is left out.

Capabilities

Input and output
Text in, text out
Context window
1M tokens
Reasoning
Disabled
Tool calling
Supported

Architecture and licence

Total parameters
744B
Active parameters
40B
Architecture
Mixture of experts
Licence
MIT
Released
16 June 2026

Availability

API model ID
z-ai/glm-5.2-instant
Provider
Z.ai
Processing region
EU-hosted
Sources

Common questions about GLM-5.2 Instant

Short answers about the model ID, price, limits and behaviour.

What is the model ID for GLM-5.2 Instant?

Use z-ai/glm-5.2-instant as the model value. The OpenAI-compatible base URL is https://api.lyceum.technology/openai/v1. You authenticate with your Lyceum API key as a Bearer token.

How much does GLM-5.2 Instant cost?

GLM-5.2 Instant costs $1.50 per 1M input tokens, $0.38 per 1M cached input tokens and $4.50 per 1M output tokens. Prices are in US dollars. Billed per token. No base fee.

What is the context window of GLM-5.2 Instant?

GLM-5.2 Instant has a 1M tokens context window. One request can generate up to 65,536 tokens and run for up to 300 seconds. Set stream: true for long outputs.

Can GLM-5.2 Instant read images?

No, not today. The request succeeds, but the image is ignored. Pick a model that reads images if you need that.

Does GLM-5.2 Instant reason before it answers?

No. GLM-5.2 Instant is GLM-5.2 without a reasoning phase, at the same price. It answers directly.

Does GLM-5.2 Instant support tool calling?

Yes. Send tools in the standard OpenAI format. Automatic tool calls, parallel calls and tool-result round trips work.

Does GLM-5.2 Instant support prompt caching?

Yes, and it is automatic. When requests share an identical start, the cached part is billed at $0.38 per 1M tokens instead of $1.50. Keep the stable part of your prompt at the front. A cache hit is best effort, so read usage.prompt_tokens_details.cached_tokens, which is missing on a miss.

Where does GLM-5.2 Instant run, and is my data kept?

GLM-5.2 Instant runs on EU-hosted infrastructure. Prompts and outputs are processed, not stored, and never used for training.

How do I call GLM-5.2 Instant with the OpenAI SDK?

Point the OpenAI SDK at https://api.lyceum.technology/openai/v1, use your Lyceum API key and set model="z-ai/glm-5.2-instant". Chat completions, streaming, tool calling and usage accounting work as they do with OpenAI.

Behaviour notes follow the Lyceum API documentation, checked 6 October 2026.