Ant Ling· 24 JulLing-3.0-flash: More Useful Work per Token
A 124B MoE model with 5.1B active parameters for agent efficiency
New model
Ant Ling released Ling-3.0-flash, a 124B-parameter Mixture-of-Experts model with 5.1B active parameters per token, designed for token efficiency in agent workflows.
The model features native 256K context extendable to 1M, hybrid linear attention (KDA + MLA), and agent-focused training across over 10,000 environments.
It achieves a 25.3% pass rate on MiniAppBench, competitive with open-source models roughly twice its size.
