Ant Group releases the weights of its 560B-parameter Ling-3.1-flash model

TechNode reported on 16 October 2026 that Ant Group has released the weights of Ling-3.1-flash, so developers can deploy it on their own infrastructure. The model has about 560 billion total parameters, activates about 25 billion per token and supports a context window of up to one million tokens, with deployment support through SGLang and vLLM. Ant's mixed-precision deployment approach reduces model-weight memory from about 534GB to 292GB, which in its reported Hopper GPU configuration cuts the requirement from eight GPUs to four.

What it means Another very large open-weight MoE model is now self-hostable, and the four-GPU mixed-precision setup brings it within reach of a single server.