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AI123AI Modelsz-aiGLM 5.1
GLM 5.1

GLM 5.1

z-ai

GLM-5.1 delivers a major leap in coding capability, with particularly significant gains in handling long-horizon tasks. Unlike previous models built around minute-level interactions, GLM-5.1 can work independently and continuously on a single task for more than 8 hours, autonomously planning, executing, and improving itself throughout the process, ultimately delivering complete, engineering-grade results.

Modalities
TT
Input / output price
$1.4/$4.4per 1M tokens
Context
205K
Released
2026-04-07
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
$1.40/ 1M tokens$4.40/ 1M tokens$0.26/ 1M tokens

Artificial Analysis

Explore rankings
26.1

Intelligence index

Outperforms 71% of compared models

55.8

Coding index

Outperforms 62% of compared models

23.9

Agentic index

Outperforms 62% of compared models

Design Arena

Elo scores and win rates across design and agent tasks.

Category performance

1,000-1,500 Elo
3D: 1336; Asciiart: 1139; Code Categories: 1267; Data Visualization: 1366; Game Development: 1263; SVG: 1216; UI Component: 1292; Website: 12903D1336 EloAsciiart1139 EloCode Categories1267 EloData Visualization1366 EloGame Development1263 EloSVG1216 EloUI Component1292 EloWebsite1290 Elo

Model Arena

Data Visualization

1366Elo

Win rate 67%

3D

1336Elo

Win rate 62.6%

UI Component

1292Elo

Win rate 54.9%

Website

1290Elo

Win rate 55.1%

SVG

1216Elo

Win rate 55.3%

Game Development

1263Elo

Win rate 54.8%

Code Categories

1267Elo

Win rate 53%

Asciiart

1139Elo

Win rate 44.6%

Agent Arena

Agenticslides

1245Elo

Win rate 54.4%

Agenticslides(python-pptx)

1240Elo

Win rate 53.3%

Pptxslides

1241Elo

Win rate 53.5%

Python-pptxslides

1258Elo

Win rate 54.2%

Spreadsheet

1315Elo

Win rate 72.4%

Agentichtmlslides

1205Elo

Win rate 52%

Agenticslides(html)

1204Elo

Win rate 51.8%

Androidnative

1183Elo

Win rate 52.5%

Htmlslides

1066Elo

Win rate 48.8%

Agenticgamedev

1128Elo

Win rate 49.5%

Fullstack

1167Elo

Win rate 53.2%

Mobile Apps

1160Elo

Win rate 50.2%

Webapps

1175Elo

Win rate 50.5%

Godotgamedev

1053Elo

Win rate 37.8%

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
Home > Models > GLM 5.1