GLM-5V-Turbo is Z.AI's first multimodal coding model. It understands images, video, files, and UI layouts, then turns that visual context into runnable code, debugging help, and stronger agent workflows with Claude Code and OpenClaw.
GLM-5V-Turbo is one of the more interesting coding model releases lately because it is not just "vision added onto a code model." @Z.ai is clearly positioning it as a native multimodal coding model that can understand screenshots, design drafts, videos, document layouts, and real interfaces, then turn that into code, debugging, and action.
"Seeing the screen and writing the code" is a very real workflow, and GLM-5V is built exactly for that.
It is also deeply adapted for @Claude Code and @OpenClaw style loops, which makes it feel much more relevant than a generic VLM with some coding demos on top.
Vision-to-code is a fascinating direction. We use a simpler version of this in Krafl-IO — users upload an image and our AI describes it, then generates a LinkedIn post around it. Going from visual context to structured output is harder than it looks. Curious how GLM-5V handles ambiguous UI elements where the "right" code depends on intent, not just layout.
The "video → runnable code" claim is the one I want to pull on. Are we talking about screen recordings of a UI workflow, where the model watches what a user does and generates automation code from that? Or is video support more like "static frames extracted and analyzed sequentially"? Those are very different capabilities with very different use cases.
I was so executed for this to launch, so I tried it on my OpenClaw and it is still really slow compared to other models. Truly disappointing to say the least.
this looks exciting! we struggle with creating vector diagrams that we can embed in website. generally they start with a sketch on paper and now we want to put them on our website. right now the process is very cumbersome. can the model help with sketch-in -> .svg-out ?
pro tip: you can experiment with this new model with @Kilo Code and @KiloClaw
About GLM-5V-Turbo on Product Hunt
“Vision-to-code foundation model for real GUI automation”
GLM-5V-Turbo launched on Product Hunt on April 2nd, 2026 and earned 229 upvotes and 7 comments, placing #4 on the daily leaderboard. GLM-5V-Turbo is Z.AI's first multimodal coding model. It understands images, video, files, and UI layouts, then turns that visual context into runnable code, debugging help, and stronger agent workflows with Claude Code and OpenClaw.
GLM-5V-Turbo was featured in API (98k followers), Artificial Intelligence (466.2k followers) and Development (5.8k followers) on Product Hunt. Together, these topics include over 99.1k products, making this a competitive space to launch in.
Who hunted GLM-5V-Turbo?
GLM-5V-Turbo was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how GLM-5V-Turbo stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
Hi everyone!
GLM-5V-Turbo is one of the more interesting coding model releases lately because it is not just "vision added onto a code model." @Z.ai is clearly positioning it as a native multimodal coding model that can understand screenshots, design drafts, videos, document layouts, and real interfaces, then turn that into code, debugging, and action.
"Seeing the screen and writing the code" is a very real workflow, and GLM-5V is built exactly for that.
It is also deeply adapted for @Claude Code and @OpenClaw style loops, which makes it feel much more relevant than a generic VLM with some coding demos on top.
Try it on chat.z.ai or plug in the official API.