Liquid AI Says LFM2.5-24B-A2B Beats Qwen3.6-35B-A3B on Five Agentic Benchmarks
Liquid AI releases LFM2.5-24B-A2B, a 24B-parameter reasoning model with 2B active parameters for on-device agents. The company says it leads or matches Qwen3.6-35B-A3B on five of eight agentic benchmarks, scoring 27.69 on AutomationBench versus 8.72. The open-weight model decodes 184 tokens/s on an Apple M5 Max.