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#51BJan 14, 2026Evidence B

GLM-Image

Zhipu AI · Undisclosed (MoE, full Ascend stack)

An open image model trained entirely on Ascend

An image-generation model open-sourced by Zhipu and Huawei in January 2026, trained end-to-end on Ascend: generation 94, Chinese 90, ecosystem 88 and a composite of 70.6. Its significance is not only the score — it is a sample of “domestic chips plus open weights” for image generation. Video 55 and agents 35 mark it as a creative tool.

TextImageNative

Last updated Oct 21, 2026Editorial scoring

Bottom line

For Chinese posters and product images in domestic-chip environments, GLM-Image is a rare “Ascend-trained plus open-weight” option: generation 94, Chinese 90. Understanding is average (documents 78) and agents are 35; confirm the community licence, and complex layouts still need human review.

Eight-dimension breakdown

editorial mapping · 0–100
Perception84Document78Chart QA65Video55Agent35Generation94Chinese90Ecosystem888D
  • GLM-Image70.6
Visual perception & grounding20%
84
Document parsing & Chinese OCR18%
78
Chart & document reasoning14%
65
Video & long-horizon reasoning14%
55
GUI agents & tool use14%
35
Generation & editing6%
94
Chinese context & culture6%
90
Ecosystem, cost & availability8%
88

Weights: perception 20 / documents 18 / charts 14 / video 14 / agents 14 / generation 6 / Chinese 6 / ecosystem 8. Definitions and sources on the methodology page.

Public benchmarks

as reported, not converted
Benchmark / metricValueNote
训练芯片昇腾End-to-end
许可证社区许可Commercial use, not OSI
上下文32KFor generation tasks

Public scores come from different versions and prompts and are not interchangeable with our composite; they are one evidence input.

Scenario mapping

five stress tests, one scale
ScenarioScoreObservation
Chinese poster generation94 · Good layout and text
Product-image generation90 · Stable materials and lighting
Chinese receipt OCR78 · Not an OCR model
30-min video QA55 · Not a video model
Chinese cultural context90 · Good Chinese-style elements

Strengths and limitations

Strengths

  • Full Ascend training plus open weights is a scarce domestic-chip image-generation sample.
  • Generation 94 and Chinese 90 work for Chinese posters and product images.
  • Ecosystem 88: smooth integration with Zhipu tooling.

Limitations

  • Average understanding: documents 78, charts 65.
  • Agents 35 and video 55: no business automation.
  • The Zhipu community licence is not OSI open source; check before commercial use.

Price and real cost

List price

—N/A

Open weights; self-hosted, no API fee. For 1,000 images at 1,024px, ~1,100 image tokens each and 300 output tokens, the monthly cost is about ¥0.0 (assuming input at 25% of output price).

Use your volume

About GLM-Image

Is GLM-Image open source?

Licence: Open weights (Zhipu community licence). Weights are available, but check the exact terms and filing requirements before commercial use.

How much does GLM-Image cost?

Open weights; self-hosted, no API fee. It ranks #51 with a composite of 70.6. Real bills depend on resolution, tiling, caching and volume discounts.

What is GLM-Image best for?

Image generation in domestic-chip environments; Chinese posters and product images; Creative tooling inside the Ascend ecosystem。

Why does GLM-Image score 70.6?

The composite weights eight dimensions: perception 20%, documents 18%, charts 14%, video 14%, agents 14%, generation 6%, Chinese 6%, ecosystem 8%. Its strongest dimension is Generation & editing; its weakest is GUI agents & tool use.

Personal ranking · Not an official score

Every ranking, score and comparison on this page is an independent personal ranking, not an official score, and represents no vendor, institution or regulator. Scores are a subjective mapping of public evidence under our own weights — change the weights and the order changes. Disagree, or spotted a factual error? Contact the site owner: jizhi2024@foxmail.com — we check each report and log corrections in the changelog.