NOUMENOpen app
NOUMEN

Z.ai · Open weights

GLM 5V Turbo

Added Apr 1, 2026Open weights

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Use in the app

Z.ai's native multimodal agent model for vision-based coding and agent workflows. This is the standard non-thinking variant for image, video, and text inputs, tuned for perceive-plan-execute loops, complex coding, and tool-driven task execution.

  • Tools
  • Vision
  • Structured output
  • Video input
Input
Text, Images, Video
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)
214 tokens
Longer than 22% of 468 models

Side by side

GLM 5V Turbo compared

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

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

GLM 5V TurboZ.aiThis modelKimi K3MoonshotRemove
ProviderZ.aiMoonshot
Discovery tierOpen weightsOpen weights
AddedApr 1, 2026Jul 16, 2026
Limits
Context window202.8K1.05MBest
Max output131.07K—
Average output214 tokens1.1K tokens
Pricing, USD per 1M tokens
Input$1.20$1.20
Output$4.00Best$5.50
Cache read$0.24$0.20Best
Performance
Throughput122.6 tok/sBest81.6 tok/s
Time to first token6.3 s5.2 sBest
Request success (24h)100.0%Best99.9%
Benchmark indexes
Intelligence Index—43.6
Coding Index—76.2
Capabilities
ReasoningNoYes
ToolsYesYes
VisionYesYes
Structured outputYesYes
Video inputYesYes
Reasoning effort—low, high, max

Public evaluations

Benchmarks

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

  • GLM 5V Turbo
  • Kimi K3

Intelligence Index

  • GLM 5V Turbo—
  • Kimi K343.6
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GLM 5V Turbo: —
    • Kimi K3: 76.2

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GLM 5V Turbo: —
    • Kimi K3: 58.3%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GLM 5V Turbo: —
    • Kimi K3: 24.8%

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • GLM 5V Turbo: —
    • Kimi K3: 5.3%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GLM 5V Turbo: —
    • Kimi K3: 1,499 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM 5V Turbo: —
    • Kimi K3: 1,534 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GLM 5V Turbo: —
    • Kimi K3: 22.0%

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 5V Turbo: —
    • Kimi K3: 88.7%

  • MLCR-AA

    Long-context reasoning over medical records

    • GLM 5V Turbo: —
    • Kimi K3: 21.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 5V Turbo: —
    • Kimi K3: 46.9%

  • GPQA Diamond

    Graduate-level science questions

    • GLM 5V Turbo: —
    • Kimi K3: 93.5%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GLM 5V Turbo: —
    • Kimi K3: 12.6%

  • SciCode

    Scientific computing in Python

    • GLM 5V Turbo: —
    • Kimi K3: 59.5%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 5V Turbo: —
    • Kimi K3: 88.7%

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.

Throughput
122.6 tok/s
Faster than 70% of 254 models
Time to first token
6.3 s
Quicker than 28% of 254 models
Prompt cache hits
88.0%
About $0.35 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 100.0%
  • 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-5v-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-5v-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.