Using LFM2.5-24B-A2B on OpenRouter

Implementation guide · LFM-2.5 · Liquid AI

ServerlessOpen Weights

OpenRouter exposes LFM2.5-24B-A2B through model ID liquid/lfm-2.5-24b-a2b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-14. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at OpenRouter and generate an API key.
  2. 2
    Use the OpenRouter SDK or REST API to call liquid/lfm-2.5-24b-a2b — see the documentation for request format.
  3. 3
    You'll be billed $0.05/1M input, $0.70/1M output tokens. See full pricing.
API PortalDocumentationPricing

Code Examples

See OpenRouter documentation for integration details.

Pricing on OpenRouter

TypePrice (per 1M)
Input tokens$0.05
Output tokens$0.70

Capabilities

ReasoningJSON / Tool useStructured OutputsPrompt Caching

About LFM2.5-24B-A2B

LFM2.5-24B-A2B is Liquid AI's largest LFM2.5 model: a 24B-parameter mixture-of-experts reasoning model with about 2B active parameters per token, built for fast on-device agents. It keeps the LFM2 hybrid of gated short convolutions and GQA (40 layers, 64 experts, top-4 routing), extends context from 32,768 to 131,072 tokens, doubles the vocabulary to 128K, and scales pre-training from 17T to 33T tokens. Unlike LFM2-24B-A2B, it is reasoning-only (explicit chain of thought before the final answer) and is post-trained for tool calling and multi-step agent harnesses.

Full model details →

Model Specs

Released2026-10-13
Parameters24B
Context128K
ArchitectureMixture of Experts

Also available on(2)

Vercel AI Gateway$0.05/1MLiquid AI$0.10/1M
Compare all providers →

Provider

OpenRouter

OpenRouter, Inc.

New York, NY, USA