Liquid AI releases LFM2.5-24B-A2B, a 24B on-device agent model
Original titleLFM2.5-24B-A2B: Built for Fast On-Device Agents
AISummary
Liquid AI releases LFM2.5-24B-A2B, a 24B-parameter reasoning model with 2B active parameters built for on-device agents.
The company says it beats Qwen3.6-35B-A3B on five of eight agentic and tool-use benchmarks, scoring 48.09 on LiveClaw versus 38.19 and 27.69 on AutomationBench versus 8.72.
It reports 184 tokens/s on an Apple M5 Max and up to 21K output tokens/s on a single NVIDIA B300 GPU, with open weights on Hugging Face.
AIWhy it matters
The post gives per-benchmark scores against a larger rival and reports on-device and GPU speeds, so readers can check where the model leads and where it trails.
Source: Liquid AI Blog · liquid.aiPublished · added here