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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 modelDeepSeek V4 Flash 0423DeepSeekRemove
ProviderZ.aiDeepSeek
Discovery tierOpen weightsOpen weights
AddedOct 2, 2025Oct 7, 2026
Limits
Context window204.8K1.05MBest
Max output131.07K—
Average output1.9K tokens245 tokens
Pricing, USD per 1M tokens
Input$1.00$0.14Best
Output$3.00$0.28Best
Cache read—$0.028
Performance
Throughput—131.1 tok/s
Time to first token—2.0 s
Request success (24h)—98.4%
Benchmark indexes
Intelligence Index18.518.9Best
Coding Index45.8—
Math Index86.0—
Capabilities
ReasoningYesYes
ToolsNoYes
Structured outputNoYes
Reasoning effort—none, low, high, max

Public evaluations

Benchmarks

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

  • GLM 4.6 Turbo (Thinking)
  • DeepSeek V4 Flash 0423

Intelligence Index

  • GLM 4.6 Turbo (Thinking)18.5
  • DeepSeek V4 Flash 042318.9

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
    • DeepSeek V4 Flash 0423: —
  • Math Index

    Composite of the math evaluations

    • GLM 4.6 Turbo (Thinking): 86.0
    • DeepSeek V4 Flash 0423: —

Agentic work

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM 4.6 Turbo (Thinking): 756 Elo
    • DeepSeek V4 Flash 0423: —

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 4.6 Turbo (Thinking): 54.0%Top
    • DeepSeek V4 Flash 0423: 41.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 4.6 Turbo (Thinking): 14.5%Top
    • DeepSeek V4 Flash 0423: 7.8%
  • GPQA Diamond

    Graduate-level science questions

    • GLM 4.6 Turbo (Thinking): 78.0%Top
    • DeepSeek V4 Flash 0423: 71.6%
  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GLM 4.6 Turbo (Thinking): 82.9%
    • DeepSeek V4 Flash 0423: —
  • IFBench

    Following precise output instructions

    • GLM 4.6 Turbo (Thinking): 43.4%
    • DeepSeek V4 Flash 0423: 47.2%Top

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GLM 4.6 Turbo (Thinking): 69.5%
    • DeepSeek V4 Flash 0423: —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GLM 4.6 Turbo (Thinking): 86.0%
    • DeepSeek V4 Flash 0423: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 4.6 Turbo (Thinking): 25.0%
    • DeepSeek V4 Flash 0423: 34.1%Top
  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 4.6 Turbo (Thinking): 70.5%
    • DeepSeek V4 Flash 0423: 94.4%Top
  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 4.6 Turbo (Thinking): 54.0%Top
    • DeepSeek V4 Flash 0423: 41.7%

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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