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AI123AI Modelsz-aiGLM 5V Turbo
GLM 5V Turbo

GLM 5V Turbo

z-ai

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding, and task execution, and works seamlessly with agents to complete the full loop of “perceive → plan → execute“.

Modalities
TT
Input / output price
$1.2/$4per 1M tokens
Context
203K
Released
2026-04-01
PricingArtificial AnalysisDesign ArenaRelated Models

Pricing

Usage prices in USD. Token rates are per one million tokens; other billing units are shown with each charge.
InputOutputCache read
$1.20/ 1M tokens$4.00/ 1M tokens$0.24/ 1M tokens

Artificial Analysis

Explore rankings
23.5

Intelligence index

Outperforms 64% of compared models

Design Arena

Elo scores and win rates across design and agent tasks.

Category performance

1,000-1,500 Elo
3D: 1205; Asciiart: 1115; Code Categories: 1226; Data Visualization: 1202; Game Development: 1217; SVG: 1148; UI Component: 1207; Website: 12293D1205 EloAsciiart1115 EloCode Categories1226 EloData Visualization1202 EloGame Development1217 EloSVG1148 EloUI Component1207 EloWebsite1229 Elo

Model Arena

3D

1205Elo

Win rate 52.3%

Game Development

1217Elo

Win rate 49.6%

SVG

1148Elo

Win rate 48.5%

Website

1229Elo

Win rate 48.8%

Code Categories

1226Elo

Win rate 49.5%

UI Component

1207Elo

Win rate 47.9%

Asciiart

1115Elo

Win rate 42.5%

Data Visualization

1202Elo

Win rate 47.6%

Agent Arena

Androidnative

1267Elo

Win rate 54.8%

Agenticslides

1171Elo

Win rate 51.6%

Agenticslides(python-pptx)

1183Elo

Win rate 53.9%

Pptxslides

1164Elo

Win rate 52.1%

Agentichtmlslides

1134Elo

Win rate 41.7%

Agenticslides(html)

1137Elo

Win rate 41.8%

Python-pptxslides

1165Elo

Win rate 51.9%

Agenticgamedev

1065Elo

Win rate 42.5%

Htmlslides

1017Elo

Win rate 44.6%

Fullstack

1149Elo

Win rate 52.1%

Godotgamedev

957Elo

Win rate 26.9%

Mobile Apps

1134Elo

Win rate 50.4%

Webapps

1124Elo

Win rate 44.7%

How Design Arena works

Related Models

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GLM 5.3

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GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency. Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.

Context
1.0M
Max output
943.7K
Released
2026-08-18
Input
$0.07/M
Output
$1.4/M
Cache read
$0.069/M
GLM 5.3 Flash

GLM 5.3 Flash

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GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead.

Context
1.0M
Max output
943.7K
Released
2026-08-26
Input
$0.15/M
Output
$0.5/M
Cache read
$0.03/M
GLM 5.2

GLM 5.2

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GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is particularly strong at coding and tool use across long-running tasks, able to maintain engineering context and follow standards consistently through a full development workflow, from requirements to multi-platform deployment, in a single task.

Context
1.0M
Max output
943.7K
Released
2026-06-16
Input
$0.034/M
Output
$7/M
Cache read
$0.033/M
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