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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 modelApex Flash 1 AbliteratedZ.aiRemove
ProviderZ.aiZ.ai
Discovery tierOpen weightsOpen weights
AddedOct 2, 2025Oct 5, 2026
Limits
Context window204.8K1.05MBest
Max output131.07KBest32.77K
Average output696 tokens629 tokens
Pricing, USD per 1M tokens
Input$1.00$0.15Best
Output$3.00$0.50Best
Cache read—$0.075
Performance
Throughput—13.2 tok/s
Time to first token—5.2 s
Request success (24h)—92.7%
Benchmark indexes
Intelligence Index14.9—
Math Index44.3—
Capabilities
ReasoningNoYes
ToolsNoYes
VisionNoYes
Reasoning effort—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
  • Apex Flash 1 Abliterated

Intelligence Index

  • GLM 4.6 Turbo14.9
  • Apex Flash 1 Abliterated—

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

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • GLM 4.6 Turbo: 44.3
    • Apex Flash 1 Abliterated: —

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 4.6 Turbo: 26.3%
    • Apex Flash 1 Abliterated: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 4.6 Turbo: 5.5%
    • Apex Flash 1 Abliterated: —

  • GPQA Diamond

    Graduate-level science questions

    • GLM 4.6 Turbo: 63.2%
    • Apex Flash 1 Abliterated: —

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GLM 4.6 Turbo: 78.4%
    • Apex Flash 1 Abliterated: —

  • IFBench

    Following precise output instructions

    • GLM 4.6 Turbo: 36.7%
    • Apex Flash 1 Abliterated: —

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GLM 4.6 Turbo: 56.1%
    • Apex Flash 1 Abliterated: —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GLM 4.6 Turbo: 44.3%
    • Apex Flash 1 Abliterated: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 4.6 Turbo: 28.8%
    • Apex Flash 1 Abliterated: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 4.6 Turbo: 76.9%
    • Apex Flash 1 Abliterated: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 4.6 Turbo: 26.3%
    • Apex Flash 1 Abliterated: —

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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