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Z.ai · Open weights

GLM 4.6 Turbo

Added Oct 2, 2025Open weights

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Use in the app

Fast variant of GLM 4.6 for general chat, coding, and analysis with improved latency and strong 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)
696 tokens
Longer than 61% of 468 models

Side by side

GLM 4.6 Turbo 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 TurboZ.aiThis modelQwen3.6 35B A3B TEEQwenRemove
ProviderZ.aiQwen
Discovery tierOpen weightsOpen weights
AddedOct 2, 2025Jun 9, 2026
Limits
Context window204.8K262.14KBest
Max output131.07K262.14KBest
Average output696 tokens3.9K tokens
Pricing, USD per 1M tokens
Input$1.00$0.20Best
Output$3.00$1.27Best
Performance
Request success (24h)—99.5%
Benchmark indexes
Intelligence Index14.915.2Best
Coding Index—28.1
Math Index44.3—
Capabilities
Reasoning effort——

Public evaluations

Benchmarks

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

  • GLM 4.6 Turbo
  • Qwen3.6 35B A3B TEE

Intelligence Index

  • GLM 4.6 Turbo14.9
  • Qwen3.6 35B A3B TEE15.2

GLM 4.6 Turbo: Better than 37% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GLM 4.6 Turbo: —
    • Qwen3.6 35B A3B TEE: 28.1

  • Math Index

    Composite of the math evaluations

    • GLM 4.6 Turbo: 44.3
    • Qwen3.6 35B A3B TEE: —

Agentic work

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM 4.6 Turbo: —
    • Qwen3.6 35B A3B TEE: 847 Elo

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 4.6 Turbo: 26.3%
    • Qwen3.6 35B A3B TEE: 64.3%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 4.6 Turbo: 5.5%
    • Qwen3.6 35B A3B TEE: 13.9%Top

  • GPQA Diamond

    Graduate-level science questions

    • GLM 4.6 Turbo: 63.2%
    • Qwen3.6 35B A3B TEE: 81.7%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GLM 4.6 Turbo: 78.4%
    • Qwen3.6 35B A3B TEE: —

  • IFBench

    Following precise output instructions

    • GLM 4.6 Turbo: 36.7%Top
    • Qwen3.6 35B A3B TEE: 36.2%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GLM 4.6 Turbo: 56.1%
    • Qwen3.6 35B A3B TEE: —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GLM 4.6 Turbo: 44.3%
    • Qwen3.6 35B A3B TEE: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 4.6 Turbo: 28.8%Top
    • Qwen3.6 35B A3B TEE: 25.8%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 4.6 Turbo: 76.9%
    • Qwen3.6 35B A3B TEE: 85.1%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 4.6 Turbo: 26.3%
    • Qwen3.6 35B A3B TEE: 64.3%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",
    "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",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Z.ai

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