GoKawiilA DiffusionGemma finetune at 71.7% on the Generative UI Benchmark, 5.5x its base.
Thesys Engineering Team · Tue Sep 08 2026
OUI-1 is a finetuned DiffusionGemma model that writes user interfaces in openui-lang. It is 26BA4B model that can run on consumer grade GPU (RTX 5090, at FP8), and the weights are on Hugging Face under the Gemma Terms of Use.
Agent-driven interfaces are the future of software. But getting there comes down to three constraints. Interfaces must be generated in under a second. They must be reliable enough to use as software. And the models must be small enough to run locally on consumer hardware.
With AppLess, we explored that experience using Gemma 4 on Cerebras. But it depended on specialized hardware in the cloud. Moving it onto the device means solving a harder problem: preserving responsiveness with dramatically less compute, without sacrificing the quality or correctness of the generated interface.
OUI-1 is our first step toward solving that problem: an open-weight model built to generate reliable interfaces on consumer hardware. The ambition is reliable, agent-driven interfaces generated locally at the speed of traditional software.
The protocol was already in place. OpenUI Lang costs up to 67% fewer tokens than JSON and streams, so the interface starts appearing before the model has finished generating it. The harder part was finding a model with the right speed and hardware profile.
That is why we chose DiffusionGemma. Autoregressive models generate one token at a time and are bottlenecked on memory bandwidth. DiffusionGemma writes a 256-token block at once, starting from noise and committing each token the moment it is sure of it. Google reports over 1,000 tokens per second on a single H100 and over 700 on an RTX 5090[1].
DiffusionGemma gave us the speed we were looking for. But speed alone does not make software: the interfaces also have to work. That was the gap we needed to close.
The benchmark made the gap concrete. DiffusionGemma scored 13.0% on the Generative UI Benchmark. It had the speed and hardware profile we wanted, but not the reliability.
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