Ox Alpha Has a Name: GLM-5.3-Flash Is Now Available on ApiHub

If you tried Ox Alpha recently, here’s the reveal: it was GLM-5.3-Flash.

GLM-5.3-Flash is the first natively multimodal model in the GLM-5 family, and it’s now available on ApiHub.

Despite having 320B total parameters with only 18B activated, it delivers stronger overall capability than GLM-5.2 while being designed around much more efficient inference.

Built for efficiency

GLM-5.3-Flash introduces a hybrid architecture combining sparse attention and linear attention.

Compared with GLM-5.3, this reduces:

• Attention computation by 3.01×

• KV cache size by 4.44×

That makes it particularly interesting for long-context and agent workloads where inference cost and memory usage matter.

Multimodal coding that can actually see

One of the biggest upgrades is native visual capability.

GLM-5.3-Flash can work across code, browsers, screenshots, and GUIs, observing the result of its own work and using visual feedback to continue improving it.

That means it can go beyond simply generating code — it can inspect rendered interfaces, interact with environments, and iterate based on what it sees.

More than coding

The model is also designed for professional workflows such as:

• Office work

• Financial research and analysis

• Document creation

• Legal and business tasks

It can produce deliverables including PPTX, PDF, DOCX, and XLSX, using its visual understanding to inspect and improve the final output.

Now on ApiHub

We’ve added GLM-5.3-Flash to ApiHub, so developers can access it through the same API they use for DeepSeek, Qwen, MiniMax, and other models.

No need to maintain another separate model integration — just switch the model and start testing.

If you tried Ox Alpha before, now you know what was behind it. What would you use GLM-5.3-Flash for first: coding, agents, document creation, or something else?