Clover, a 35B diffusion language model, beats Qwen3.6-35B-A3B on agent benchmarks
DiffuSpace released Clover-35B-A3B-Preview under an Apache license. It is a mixture-of-experts diffusion language model, which generates the whole output in parallel instead of one token at a time, with 35 billion parameters and 3 billion activated. It scores 73.6 on SWE-bench Verified and reaches 680 tokens/s on internal agent workloads on a single NVIDIA GB300 GPU. DiffuSpace says it outperforms the similarly sized Qwen3.6-35B-A3B.