Liquid AI released LFM2.5-24B-A2B, an open-weight reasoning model with 2B active parameters that builds on LFM2-24B-A2B. It scores 48.09 on LiveClaw versus 38.19 for Qwen3.6-35B-A3B, a model with roughly 50% more total and active parameters. It decodes 184 tokens/s on an Apple M5 Max and up to 21K output tokens/s on a single NVIDIA B300 GPU. The model leads on tool-use and instruction-following benchmarks; larger models retain an edge on knowledge and coding tasks.
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