Z.ai: GLM 4.7

z-ai/glm-4.7

GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while...

Modalities

In / out price

$0.6 / $2.2 per 1M

Context

205K

Released

Dec 22, 2025

Why use GLM 4.7

Step-by-step reasoning mode
Tool and function calling (agent-ready)
Structured (JSON) outputs

Pricing

Input	$0.6 / 1M tokens
Output	$2.2 / 1M tokens
Cached input (read)	$0.11 / 1M tokens

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

How it ranks

Coding index45.3

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.

TaskInput tokens≈ 602 wordsOutput tokens≈ 1,504 wordsRuns per month

Input served from cache: 0%Repeated prompts (same instructions or document) are billed at the cheaper cache-read price where the model supports it.

Model	Per run	Per month	Per 1,000 runs
Z.ai: GLM 4.7	$0.0049	$4.88	$4.88

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

Zoom (square size): 6pxZoom out to see a whole million-token window at once.

Z.ai: GLM 4.7

204,800 tokens ≈ 308 pages

Fits: uses 59% of the window.

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Why use GLM 4.7

Pricing

How it ranks

Cost calculator

Will it fit? Context window simulator

Z.ai: GLM 4.7

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