LFM2.5-24B-A2B from @liquidai is now on OpenRouter.
A 24B MoE with 2B active parameters that reasons before it answers, built for agents and tool use.
LFM2.5-24B-A2B from Liquid AI is now on OpenRouter
AISummary
OpenRouter now offers LFM2.5-24B-A2B from Liquid AI, a 24B-parameter mixture-of-experts model with 2B active parameters per token. The model reasons before answering and is built for agents and tool use.
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Today we release 𝙻𝙵𝙼𝟸.𝟻-𝟸𝟺𝙱-𝙰𝟸𝙱, the largest 𝙻𝙵𝙼𝟸.𝟻 family member. It is an efficient local model for laptops and PCs to work through multi-step tasks inside popular agent harnesses. > 24B total parameters, 2B active per token > Context expanded to 131K tokens > A 128K-token vocabulary > 33T pretraining tokens > It is a reasoning model > Very easy to fine-tune and customize > Performs competitively with Qwen3.6-35B-A3B, a model with ~50% more total and active parameters, on agentic and tool-use tasks. > Open base and post-trained weights on @huggingface 🤗 1/
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