Liquid AI · Efficient Agentic MoE

LFM2.5-24B-A2B

The successor to LFM2-24B-A2B (covered in week 9), released 13 October with the same 24B total and 2B active parameters and 40-layer convolution plus grouped-query attention hybrid. Pretraining doubles from 17T to 33T tokens, the vocabulary grows from 65K to 128K and context rises from 32K to 131K, and it now always reasons before answering after a five-stage post-training pipeline that includes agentic RL. Against Qwen3.6-35B-A3B, Liquid reports 48.09 versus 38.19 on LiveClaw and 96.75 versus 93.06 on IFEval but 51.0 versus 66.2 on SWE-Bench Verified, vendor-reported. It runs at 184 tokens per second on an M5 Max. API pricing is $0.10 input and $1.00 output per million tokens; LFM 1.0 licence.