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AI123AI Modelsz-aiGLM 5.3
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.

Modalities
TT
Input / output price
$0.0699/$1.4per 1M tokens
Context
1.0M
Released
2026-08-18
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
$0.07/ 1M tokens$1.40/ 1M tokens$0.07/ 1M tokens

Artificial Analysis

Explore rankings
44.8

Intelligence index

Outperforms 93% of compared models

74.8

Coding index

Outperforms 90% of compared models

53.1

Agentic index

Outperforms 96% of compared models

Design Arena

Elo scores and win rates across design and agent tasks.

Category performance

1,000-1,500 Elo
3D: 1328; Asciiart: 1208; Code Categories: 1300; Data Visualization: 1263; Game Development: 1306; SVG: 1287; UI Component: 1306; Website: 12923D1328 EloAsciiart1208 EloCode Categories1300 EloData Visualization1263 EloGame Development1306 EloSVG1287 EloUI Component1306 EloWebsite1292 Elo

Model Arena

SVG

1287Elo

Win rate 56.5%

3D

1328Elo

Win rate 59.2%

Code Categories

1300Elo

Win rate 53.8%

Game Development

1306Elo

Win rate 52%

UI Component

1306Elo

Win rate 56.2%

Website

1292Elo

Win rate 53.7%

Asciiart

1208Elo

Win rate 47.6%

Data Visualization

1263Elo

Win rate 51.9%

Agent Arena

Htmlslides

1189Elo

Win rate 39.1%

Python-pptxslides

1214Elo

Win rate 51.2%

Mobile Apps

1192Elo

Win rate 52.2%

How Design Arena works

Related Models

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
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.

Context
205K
Max output
131.1K
Released
2026-02-11
Input
$1/M
Output
$3.2/M
Cache read
$0.2/M
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