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Z.ai: GLM 5.3

z-ai/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...

Modalities

TextText

In / out price

$0.22 / $3.39 per 1M

Context

1.05M

Released

Aug 18, 2026

Why use GLM 5.3

  • Step-by-step reasoning mode
  • Tool and function calling (agent-ready)
  • Structured (JSON) outputs
  • Very long context: whole books or codebases in one prompt

Pricing

Input$0.22 / 1M tokens
Output$3.39 / 1M tokens
Cached input (read)$0.18 / 1M tokens

List prices via OpenRouter, checked daily. Real cost depends on the provider and on reasoning tokens.

How it ranks

Intelligence index44.8
Coding index74.8
Agentic index53.1

Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings).

Cost calculator

Pick a task, set how often you run it, and compare what it costs on each model.

ModelPer runPer monthPer 1,000 runs
Z.ai: GLM 5.3$0.0070$6.96$6.96

Estimates from list prices via OpenRouter; real bills vary by provider and reasoning tokens.

Will it fit? Context window simulator

Each square is about one page (500 words). Colored squares are your content; grey squares are free space in the model's context window.

Your content

  • Novel (90,000 words)

Total: about 120,000 tokens (≈ 90,226 words). Token counts are estimates.

Models

Z.ai: GLM 5.3

1,048,576 tokens ≈ 1,577 pages

Fits: uses 11% of the window (room for 8× this much).

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