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DiffuSpace Open-Sources Clover-35B-A3B-Preview MoE Model

DiffuSpace released and open-sourced Clover-35B-A3B-Preview, a mixture-of-experts model with 35 billion total parameters and 3 billion activated. The model outperforms Mercury 2.5 and same-size autoregressive Qwen3.6-35B-A3B on agentic coding and other key tasks, generating up to 5-10 times faster than the latter. Clover scales 5x over its predecessor with unchanged speed and stronger intelligence, indicating scale potential for the dLLM paradigm.

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AI take

The significance here lies less in a single benchmark win than in what it implies about the diffusion-based language model paradigm: Clover's fivefold scale-up with unchanged speed suggests the approach can absorb parameter growth without the usual latency penalty, a constraint that has shaped autoregressive scaling. The immediate audience is open-source model builders and agentic-coding tool developers weighing a non-autoregressive alternative against established MoE baselines. The open question is whether the reported speed and intelligence advantages hold under independent replication and on workloads beyond agentic coding.

Generated by AI for reference only.

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