LFM2.5-24B-A2B is Liquid AI's open-weight, text-only sparse mixture-of-experts reasoning model (24.0B total / 2.45B active parameters) built for fast, private, on-device and edge-hosted agents that call tools. It is a 40-layer hybrid convolution + grouped-query-attention stack with 64 experts and top-4 routing, a native 131,072-token context, and an always-on reasoning pass before every answer — priced at $0.05/$0.70 per 1M input/output tokens on OpenRouter. Its published evaluations target tool-use and instruction-following rather than frontier knowledge or math, where it is deliberately mid-tier.
LiquidAI Foundation Models (1)
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