Description
🖼️ Tool Name:
GLM-Image
✏️ What does this tool offer in 2026?
Hybrid 16B Parameter Architecture: Combines a 9B Autoregressive generator (for logic and layout) with a 7B Diffusion Decoder (for visual textures and details).
Flawless Text Rendering: Ranked #1 on LongText-Bench, it can render entire paragraphs, restaurant menus, and technical manuals with near-perfect character accuracy in both English and Chinese.
Knowledge-Intensive Generation: Unlike other models, it can draw accurate diagrams, chemical formulas, and mathematical notations by leveraging its pre-training on the GLM-4 language model.
Consistency & Identity: Features built-in "Identity-Preserving" capabilities, making it easy to keep the same character or product across multiple generated scenes.
Open-Source Freedom: Fully available on Hugging Face (MIT/Apache 2.0 license), allowing developers to fine-tune the model for specific industries like medicine or law.
Domestic Hardware Optimization: The first major model trained entirely on Huawei Ascend chips, providing a high-performance alternative to Nvidia-based ecosystems.
⭐️ What does it offer? (User Experience)
"Cognitive Intelligence": Rated 4.8/5 for tasks requiring complex instructions. Users describe it as "the first AI that actually understands what a poster layout should look like."
Reliability: While slower than pure diffusion models (like Flux or SD), it is significantly more reliable for production-ready marketing assets.
💵 Pricing (January 2026 Status)
GLM-Image is highly competitive, offering both free self-hosting and low-cost API access.
🎁 Free Version:
You can download and run the model for free on your own server. For cloud users, Z.ai often provides free starting credits for new developers on their BigModel.cn platform.
⚙️ Access or Source:
Official Website
Weights/Code
🔗 Experience Link: