GLM-Image

glm-image

GLM-Image supports detailed image creation and editing, with strengths in text rendering and knowledge-rich content.

GLM-Image is an image generation model adopts a hybrid autoregressive + diffusion decoder architecture. In general image generation quality, GLM‑Image aligns with mainstream latent diffusion approaches, but it shows significant advantages in text-rendering and knowledge‑intensive generation scenarios. It performs especially well in tasks requiring precise semantic understanding and complex information expression, while maintaining strong capabilities in high‑fidelity and fine‑grained detail gene

10K context10K context

Released2026-01-19

Relays0 sites

image generationopen source

Model information

Model ID: glm-image
Context: 10.2K
Max input: -
Max output: 0
Knowledge cutoff: -
Open weights: Supported
License: MIT
Release date: 2026-01-19

Input

Text: SupportedImage: SupportedAudio: Not supportedVideo: Not supportedPDF: Not supportedFile: Supported

Output

Text: Not supportedImage: SupportedAudio: Not supportedVideo: Not supported

API capabilities

Reasoning: Not supportedTool call: Not supportedStructured output: UnknownTemperature: Not supported

Relay Comparison

Compare token, per-request, or per-second pricing by relay channel.

Unit: token prices are ¥ / 1M tokens; per-request and per-second rows use their shown unit

No prices are available for this model yet.

How should GLM-Image relay pricing be compared?

This GLM-Image pricing page compares official pricing with public prices from 0 listed AI gateways. Token prices are shown in CNY per 1M tokens, while per-request, per-second, and per-character rows use the unit shown in the table. Last updated: No clear update time.

Data sources: Public price catalogs, official pricing records, and monitoring results.
Metric definitions: Uptime means successful probe response rate, fake-rate signals possible model mismatch or abnormal output risk, and latency is average API response time.
Risk note: Relay gateways are third-party services. Pricing, billing, privacy, and stability can change; start with a small top-up and verify reliability before continued use.