LFM2.5-24B-A2B on OpenRouter

LFM-2.5 · Liquid AI

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

Why use LFM2.5-24B-A2B on OpenRouter?

OpenRouter offers LFM2.5-24B-A2B with pay-as-you-go pricing at $0.05/1M input tokens. OpenRouter is a multi-provider LLM aggregator offering unified API access to 300+ models from all major labs and emerging providers, with automatic failover for reliability.

Compare LFM2.5-24B-A2B across 3 providers to find the best fit for your use case
Input / 1M
$0.050
Output / 1M
$0.70
Cache
read $0.025
Batch
Not sourced

Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: liquid/lfm-2.5-24b-a2b
Model ID
liquid/lfm-2.5-24b-a2b

Request example

Curated snippets for this provider are not sourced yet. Use OpenRouter documentation with model ID liquid/lfm-2.5-24b-a2b.

Gotchas

  • Use provider model ID "liquid/lfm-2.5-24b-a2b", not the LLMReference slug "lfm-2.5-24b-a2b".

Compare LFM2.5-24B-A2B Across Providers

ProviderInput (per 1M)Output (per 1M)
Liquid AI$0.10$1.00
OpenRouter$0.05$0.70
Vercel AI Gateway$0.05$0.70

Pricing

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.

Get Started

Model Specs

Released2026-10-13
Parameters24B
Context128K
ArchitectureMixture of Experts