Liquid AI releases LFM2.5-24B-A2B, a 2B-active reasoning model for on-device agents

Liquid AI releases LFM2.5-24B-A2B, a 24B-parameter reasoning model with 2B active parameters per token, as open weights on Hugging Face.

On its own benchmarks it scores 48.09 on LiveClaw versus 38.19 for Qwen3.6-35B-A3B and leads on five tool-use and agentic tests, but trails larger models on knowledge-heavy and coding benchmarks such as GPQA Diamond and SWE-Bench Verified (OpenCode).

It reports 184 tokens per second on an Apple M5 Max and up to 21K output tokens per second on a single NVIDIA B300.