LiquidAI: LFM2-24B-A2B

liquid/lfm-2-24b-a2b

Released Feb 25, 202632,768 context

$0.03/M input tokens$0.12/M output tokens

LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per token, it delivers high-quality generation while maintaining low inference costs. The model fits within 32 GB of RAM, making it practical to run on consumer laptops and desktops without sacrificing capability.

Providers for LFM2-24B-A2B

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for LFM2-24B-A2B

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Effective Pricing for LFM2-24B-A2B

Actual cost per million tokens across providers over the past hour

Apps using LFM2-24B-A2B

Top public apps this month

Recent activity on LFM2-24B-A2B

Total usage per day on OpenRouter

Prompt

9.87M

Completion

1.64M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for LFM2-24B-A2B

Uptime stats for LFM2-24B-A2B across all providers

Sample code and API for LFM2-24B-A2B

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 300+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.