a lightweight hybrid reasoning MoE model with 7.9B total parameters and only 1.3B activated parameters per token. It is designed to deliver strong reasoning and agentic capabilities under a small inference compute footprint, making advanced model capabilities more accessible for local and resource-constrained deployment.
personally,
i did one test of ling3-flash and gemma-4-31B side-by-side .
ling3 understood me and had a fantastic answer. gemma must have misunderstood what i was saying… it wrote a long story-like paragraph that didnt answer my question. but it kinda had 1 bit of insight.
so: (maybe…) don’t sleep on ling models !