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Z.ai · Open weights

GLM 4.6 Turbo (Thinking)

Added Oct 2, 2025Open weights

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Use in the app

GLM 4.6 Turbo with thinking mode enabled for enhanced reasoning; shows internal reasoning and supports long context.

  • Reasoning
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$1.00
Output
$3.00

Reference prices as published by the model provider. API example

Specifications

Context window
204.8K
Max output
131.1K
Average output (7 days)
1.9K tokens
Longer than 91% of 465 models

Side by side

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Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

18.5

Better than 47% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    45.8

    Composite of the coding evaluations

    Better than 41% of 168 scored models

  • Math Index

    86.0

    Composite of the math evaluations

    Better than 77% of 118 scored models

Agentic work

  • GDPval-AAv2.1

    756 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 22% of 187 scored models

Document reasoning

  • AA-LCRv1.1

    54.0%

    Reasoning across long documents

    Better than 33% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    14.5%

    Expert-level questions across academic fields

    Better than 41% of 323 scored models

  • GPQA Diamond

    78.0%

    Graduate-level science questions

    Better than 41% of 291 scored models

  • MMLU-Pro

    82.9%

    Multi-subject knowledge and reasoning

    Better than 68% of 132 scored models

  • IFBench

    43.4%

    Following precise output instructions

    Better than 37% of 215 scored models

Coding

  • LiveCodeBench

    69.5%

    Recent competitive programming problems

    Better than 68% of 129 scored models

Math

  • AIME 2025

    86.0%

    Competition mathematics, 2025 problems

    Better than 77% of 118 scored models

Legacy evaluations

  • Terminal-Bench Hard

    25.0%

    Earlier terminal task suite

    Better than 47% of 212 scored models

  • τ²-Bench Telecom

    70.5%

    Tool use in a customer-support simulation

    Better than 53% of 214 scored models

  • AA-LCR (unversioned)

    54.0%

    Long-context reasoning, earlier grading

    Better than 33% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "z-ai/GLM-4.6-turbo:thinking",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="z-ai/GLM-4.6-turbo:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Z.ai

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