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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

GLM 4.6 Turbo (Thinking) compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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GLM 4.6 Turbo (Thinking)Z.aiThis modelGPT 5.4OpenAIRemove
ProviderZ.aiOpenAI
Discovery tierOpen weightsFrontier
AddedOct 2, 2025Mar 5, 2026
Limits
Context window204.8K1.05MBest
Max output131.07KBest128K
Average output1.9K tokens409 tokens
Pricing, USD per 1M tokens
Input$1.00Best$2.50
Output$3.00Best$15.00
Cache read—$0.25
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index18.5Best18.2
Coding Index45.8—
Math Index86.0—
Capabilities
ReasoningYesYes
ToolsNoYes
VisionNoYes
Structured outputNoYes
PDF inputNoYes
Reasoning effort—none, low, medium, high, xhigh

Public evaluations

Benchmarks

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

  • GLM 4.6 Turbo (Thinking)
  • GPT 5.4

Intelligence Index

  • GLM 4.6 Turbo (Thinking)18.5
  • GPT 5.418.2

GLM 4.6 Turbo (Thinking): Better than 47% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GLM 4.6 Turbo (Thinking): 45.8
    • GPT 5.4: —
  • Math Index

    Composite of the math evaluations

    • GLM 4.6 Turbo (Thinking): 86.0
    • GPT 5.4: —

Agentic work

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM 4.6 Turbo (Thinking): 756 Elo
    • GPT 5.4: —

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 4.6 Turbo (Thinking): 54.0%
    • GPT 5.4: 58.3%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 4.6 Turbo (Thinking): 14.5%Top
    • GPT 5.4: 11.3%
  • GPQA Diamond

    Graduate-level science questions

    • GLM 4.6 Turbo (Thinking): 78.0%Top
    • GPT 5.4: 74.8%
  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GLM 4.6 Turbo (Thinking): 82.9%
    • GPT 5.4: —
  • IFBench

    Following precise output instructions

    • GLM 4.6 Turbo (Thinking): 43.4%
    • GPT 5.4: 48.4%Top

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GLM 4.6 Turbo (Thinking): 69.5%
    • GPT 5.4: —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GLM 4.6 Turbo (Thinking): 86.0%
    • GPT 5.4: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 4.6 Turbo (Thinking): 25.0%
    • GPT 5.4: 37.9%Top
  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 4.6 Turbo (Thinking): 70.5%Top
    • GPT 5.4: 36.0%
  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 4.6 Turbo (Thinking): 54.0%
    • GPT 5.4: 58.3%Top

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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