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Z.ai · Open weights

GLM 5 Turbo

Added Mar 15, 2026Open weights

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Use in the app

Fast GLM 5 Turbo variant from Z-AI for general chat, coding, and tool use.

  • Tools
  • Structured output
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$1.20
Output
$4.00
Cache read
$0.24

Reference prices as published by the model provider. API example

Specifications

Context window
202.8K
Max output
131.1K
Average output (7 days)
557 tokens
Longer than 52% of 465 models

Side by side

GLM 5 Turbo compared

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

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GLM 5 TurboZ.aiThis modelGLM 4.6 TurboZ.aiRemove
ProviderZ.aiZ.ai
Discovery tierOpen weightsOpen weights
AddedMar 15, 2026Oct 2, 2025
Limits
Context window202.8K204.8KBest
Max output131.07K131.07K
Average output557 tokens696 tokens
Pricing, USD per 1M tokens
Input$1.20$1.00Best
Output$4.00$3.00Best
Cache read$0.24—
Performance
Request success (24h)100.0%—
Benchmark indexes
Intelligence Index26.6Best14.9
Math Index—44.3
Capabilities
ToolsYesNo
Structured outputYesNo
Reasoning effort——

Public evaluations

Benchmarks

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

  • GLM 5 Turbo
  • GLM 4.6 Turbo

Intelligence Index

  • GLM 5 Turbo26.6
  • GLM 4.6 Turbo14.9

GLM 5 Turbo: Better than 67% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • GLM 5 Turbo: —
    • GLM 4.6 Turbo: 44.3

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 5 Turbo: 71.7%Top
    • GLM 4.6 Turbo: 26.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 5 Turbo: 27.8%Top
    • GLM 4.6 Turbo: 5.5%

  • GPQA Diamond

    Graduate-level science questions

    • GLM 5 Turbo: 84.7%Top
    • GLM 4.6 Turbo: 63.2%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GLM 5 Turbo: —
    • GLM 4.6 Turbo: 78.4%

  • IFBench

    Following precise output instructions

    • GLM 5 Turbo: 73.2%Top
    • GLM 4.6 Turbo: 36.7%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GLM 5 Turbo: —
    • GLM 4.6 Turbo: 56.1%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GLM 5 Turbo: —
    • GLM 4.6 Turbo: 44.3%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 5 Turbo: 33.3%Top
    • GLM 4.6 Turbo: 28.8%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 5 Turbo: 98.5%Top
    • GLM 4.6 Turbo: 76.9%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 5 Turbo: 71.7%Top
    • GLM 4.6 Turbo: 26.3%

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

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits
31.9%
About $0.89 per 1M input tokens with caching
Request success (24h)
100.0%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 37.5%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

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-5-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-5-turbo",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Z.ai

Other Z.ai models, starting with the same family.