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AI123AI Modelsz-aiGLM 5
GLM 5

GLM 5

z-ai

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With advanced agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 moves beyond code generation to full-system construction and autonomous execution.

Modalities
TT
Input / output price
$1/$3.2per 1M tokens
Context
205K
Released
2026-02-11
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
$1.00/ 1M tokens$3.20/ 1M tokens$0.20/ 1M tokens

Artificial Analysis

Explore rankings
27.9

Intelligence index

Outperforms 74% of compared models

Design Arena

Elo scores and win rates across design and agent tasks.

Category performance

1,000-1,500 Elo
3D: 1226; Asciiart: 1144; Code Categories: 1245; Data Visualization: 1228; Game Development: 1234; SVG: 1165; UI Component: 1225; Website: 12473D1226 EloAsciiart1144 EloCode Categories1245 EloData Visualization1228 EloGame Development1234 EloSVG1165 EloUI Component1225 EloWebsite1247 Elo

Model Arena

3D

1226Elo

Win rate 56.3%

Game Development

1234Elo

Win rate 57.4%

Code Categories

1245Elo

Win rate 55.5%

SVG

1165Elo

Win rate 54.4%

Asciiart

1144Elo

Win rate 47.9%

Website

1247Elo

Win rate 55%

Data Visualization

1228Elo

Win rate 53%

UI Component

1225Elo

Win rate 53.6%

Agent Arena

Htmlslides

1044Elo

Win rate 45.1%

Godotgamedev

1144Elo

Win rate 46.7%

Androidnative

1146Elo

Win rate 55.2%

Fullstack

1123Elo

Win rate 51.7%

Mobile Apps

1136Elo

Win rate 51.7%

How Design Arena works

Related Models

GLM 5.3

GLM 5.3

z-ai

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

z-ai

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

z-ai

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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