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Z.ai: GLM 5.3 Flash

z-ai/glm-5.3-flash

Used in WordGPTTry in WordGPT

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...

Modalities

TextImageVideoText

In / out price

$0.15 / $0.5 per 1M

Context

1.05M

Released

Aug 26, 2026

Why use GLM 5.3 Flash

  • Understands images
  • 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$0.15 / 1M tokens
Output$0.5 / 1M tokens
Cached input (read)$0.030 / 1M tokens

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

How it ranks

Intelligence index41.8
Coding index71.5
Agentic index50.9

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 Flash$0.0011$1.12$1.12

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 Flash

1,048,576 tokens ≈ 1,577 pages

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

Use Z.ai: GLM 5.3 Flash in WordGPT

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