GLM-5V-Turbo
Turn wireframes into production code — 200K context, scores 94.8 on Design2Code
Expert verdict
Ship
3-1The Panel's Take
GLM-5V-Turbo is a multimodal vision-language model from Zhipu AI (international brand: Z.ai) purpose-built for converting visual designs into executable code. Released April 3, 2026, it's optimized specifically for the design-to-code pipeline that's becoming central to AI-assisted frontend development. The model features a 200K token context window with 128K max output — enough to hold an entire design system plus generate substantial implementation code in a single call. Input support spans images, video, and text. The CogViT vision encoder was trained from scratch alongside the language model rather than bolted on post-training, which Zhipu claims is why it achieves 94.8 on the Design2Code benchmark vs. Claude Opus 4.6's 77.3 (their own testing). GUI agent workflows are a first-class use case, with strong results on AndroidWorld and WebVoyager benchmarks. Pricing is competitive at $1.20/M input tokens and $4/M output tokens, with free web access at chat.z.ai for exploration. For teams already doing design-to-code workflows with Figma exports and Claude, GLM-5V-Turbo is a direct challenger worth benchmarking — especially given the claimed 17-point lead on the primary evaluation.
Share this verdict
GLM-5V-Turbo verdict: SHIP 🚀 3 ships · 1 skip from the expert panel Full review: shiporskip.io/tool/glm-5v-turbo-design-to-code-vision
Weekly AI Tool Verdicts
Get the next verdict in your inbox
7 critics review a new AI tool every day. Weekly digest — free.
Similar Products
Compare GLM-5V-Turbo with Others
Looking for GLM-5V-Turbo alternatives?
Compare GLM-5V-Turbo with every other Developer Tools tool reviewed by our panel.
See all Developer Tools alternativesEmbed this verdict
Tool makers can add a live ShipOrSkip badge to their site. Badge loads track impressions; clicks route back to this review.
<a href="https://shiporskip.io/api/badge-click/glm-5v-turbo-design-to-code-vision" target="_blank" rel="noopener"><img src="https://shiporskip.io/api/badge/glm-5v-turbo-design-to-code-vision" alt="GLM-5V-Turbo Ship verdict on ShipOrSkip" width="360" height="90" /></a>[](https://shiporskip.io/api/badge-click/glm-5v-turbo-design-to-code-vision)<iframe src="https://shiporskip.io/embed/glm-5v-turbo-design-to-code-vision" title="GLM-5V-Turbo ShipOrSkip verdict" width="360" height="260" style="border:0;border-radius:16px;max-width:100%;" loading="lazy"></iframe>The reviews
“A 17-point lead on Design2Code over Claude Opus, a 200K context window, and $4/M output pricing — that's a compelling combination for any team that's making Figma-to-code a production workflow. I'd run my own evals before fully committing, but the numbers are hard to ignore.”
“Benchmark numbers from the lab that made the model are the weakest possible signal. Design2Code is also a narrow, academic benchmark — real production design-to-code involves design tokens, component libraries, and business logic that no benchmark captures. Verify independently before switching.”
“Non-US labs that train vision and language from scratch together rather than compositing them are doing architecturally interesting work. GLM-5V-Turbo signals that the design-to-code paradigm is mature enough to warrant specialized models, which will accelerate the displacement of traditional frontend development.”
“As someone who lives in Figma, having a model that genuinely understands design intent rather than just pixel positions is exciting. The 200K context means I could potentially load an entire component library and get contextually appropriate implementations rather than generic code.”