Enterprise DNAEnterprise DNA
LModelsLong context
Z.ai (Zhipu) logo

GLM 4.5

by Z Ai

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of u

G4

Models

GLM 4.5

Added 10 July 2026

#z-ai

Overview

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...

How to use / API access

Call via OpenRouter with model id `z-ai/glm-4.5`.

  • openrouter · z-ai/glm-4.5 Docs

OpenRouter id: z-ai/glm-4.5

Benchmarks

  • Intelligence Index (artificial-analysis): 12.8 index
  • Design Arena 3d (other): 1171 elo · #59
  • Design Arena codecategories (other): 1167 elo · #75
  • Design Arena dataviz (other): 1160 elo · #77
  • Design Arena gamedev (other): 1146 elo · #73

Notes

GLM 4.5 is listed in the EDNA Models directory from the OpenRouter catalogue.

Free 27-page guide

Get the free Developer’s Field Guide

A 27-page field guide to the AI coding workflow with Claude. Claude Code, MCP servers, the prompt patterns that work, and what to delegate. Free.

Enter your work email. We send it straight over, plus a few short notes worth knowing. Unsubscribe any time.

No spam. Unsubscribe any time.

USAGE / OPENROUTER

How much GLM 4.5 is used

Tokens processed through OpenRouter each day. It shows what developers actually run, not every company's private traffic.

Tokens, last 7 days
1.3B ▼19.2%
Requests, last 7 days
126K
Tool calls, last 7 days
28.2K
Intelligence score
12.8
People's vote
1430
Average cost per request
$1.67
Price per million tokens
$0.6 in · $2.2 out
0500M1B19 Sept: 238M tokens, 23.9K requests20 Sept: 219M tokens, 13.2K requests21 Sept: 136M tokens, 16.5K requests22 Sept: 174M tokens, 12.5K requests23 Sept: 127M tokens, 10.1K requests24 Sept: 193M tokens, 9.8K requests25 Sept: 180M tokens, 15.5K requests26 Sept: 342M tokens, 19.1K requests27 Sept: 381M tokens, 15.4K requests28 Sept: 169M tokens, 10.2K requests29 Sept: 127M tokens, 11.2K requests30 Sept: 144M tokens, 18K requests1 Oct: 239M tokens, 29.1K requests2 Oct: 222M tokens, 25.1K requests3 Oct: 225M tokens, 12.8K requests4 Oct: 196M tokens, 12.1K requests5 Oct: 244M tokens, 12.9K requests6 Oct: 569M tokens, 32.6K requests7 Oct: 166M tokens, 14.4K requests8 Oct: 187M tokens, 13.8K requests9 Oct: 154M tokens, 12.5K requests10 Oct: 328M tokens, 12.7K requests11 Oct: 313M tokens, 13.1K requests12 Oct: 159M tokens, 15.5K requests13 Oct: 176M tokens, 12.3K requests14 Oct: 262M tokens, 18.7K requests15 Oct: 221M tokens, 12.9K requests16 Oct: 172M tokens, 13.4K requests17 Oct: 123M tokens, 10.1K requests18 Oct: 165M tokens, 11.3K requests19 Oct: 246M tokens, 37.6K requests20 Oct: 173M tokens, 20.2K requests21 Oct: 176M tokens, 20.5K requests19 Sept3 Oct17 Oct21 OctSee where it ranks on the leaderboard →

FROM SPECIFICATIONS TO YOUR WORK

Is this the right model for your job?

Start with a realistic sample. These workflows match the model’s listed capabilities, not a verified result on your task.

Check the source

Price date: 2026-10-18. Prices are USD API token rates. Your app subscription, uploads, browsing and tools are separate.

Model source & availability ↗

Understand the evidence

Listed capabilities and third-party benchmark scores do not establish Enterprise DNA task-test results. Validate accuracy and total cost on your own sample.

Intelligence Index: 12.8 (2026-10-18) ↗
Compare this model with alternatives →