A diffusion language model reached 680 tokens a second.

China’s DiffuSpace says its own tests have it beating same-size Qwen on 6 agent and coding benchmarks.

Diffusion models draft blocks of text in parallel and refine them, instead of writing one token at a time.

The speed is on one Nvidia GB300 chip, and the 35-billion-parameter model is a preview.

A companion decision model, scoring 95.0% on an internal test, will follow later.

How each outlet framed it
Zhidx leans favorable
foregrounds the joint-mode decision model, where 95.0% accuracy on linked questions beats independent answering, and the Dream 7B lineage

Sources: Zhidx