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Liquid AI
liquid/lfm-2.5-24b-a2bCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
Liquid AI liquid/lfm-2.5-24b-a2b
LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...
LFM2.5-24B-A2B earns a request when it needs step-by-step reasoning, tool calls, running on your own hardware; a short, general request would go to MiniMax M3.1 Flash (free) instead - free per million input tokens against $0.05 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points (this model has no published index).
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs LFM2.5-24B-A2B
targets:
- id: lfm-2-5-24b-a2b
kind: llm
name: LFM2.5-24B-A2B
metadata:
model: liquid/lfm-2.5-24b-a2b # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 128000
cost:
usd_per_1k_tokens: 0.000375Input list price per million tokens; LFM2.5-24B-A2B is the most expensive of 2 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project
Cached input reads $0.03 per 1M · weights on Hugging Face as LiquidAI/LFM2.5-24B-A2B
A higher intelligence index, best first, with the price it comes at.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.