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GLMZhipu AIOpen weights

GLM 5 Turbo.

GLM 5 Turbo is Z.ai's model for fast inference in agent-driven environments. It is optimised for agent workflows with long execution chains, breaks down complex instructions, uses tools and supports scheduled and continuously running execution. It processes text with a context of about 200,000 tokens.

base_url="https://api.noirdoc.de/v1" model="z-ai/glm-5-turbo"

  • Data centres in the EU
  • § 203 confidentiality
  • Zero retention
  • List prices

Details.

Where the model runs, which rules apply and what it can do.

  1. Data centres in the EU TensorX Contracting party: TensorX Ltd. · based in Dublin, Ireland
§ 203 German Criminal Code (StGB)
Confidentiality agreed with TensorX
Weights
Open weights
Features
Tools, Vision, Reasoning and JSON
See how this looks in your account →
Map: GLM 5 Turbo runs in data centres in the EU (TensorX).

Providers.

We offer GLM 5 Turbo through these providers.

Provider § 203 model=
€ · 1M tokens Input Cache Read Cache Write Output
TensorX EU EU data centres (Ireland, Finland)
§ 203 agreed
z-ai/glm-5-turbo
Input 1.08 Cache Read 0.27 Output 3.60

More models.

Zhipu AI, now Z.ai, develops the GLM series of open models for reasoning and agentic tasks.

All GLM models →

Get started.

Test selected models right away with €5 starter credit — every model from the first top-up. If you have questions first, talk to our sales team.

python · openai sdk api.noirdoc.de/v1
import os
from openai import OpenAI

client = OpenAI(
    # one line, that's all
    base_url="https://api.noirdoc.de/v1",
    api_key=os.environ["NOIRDOC_API_KEY"],
)

response = client.chat.completions.create(
    model="z-ai/glm-5-turbo",  # provider & model
    messages=[{"role": "user", "content": "Hello"}],
)