Liquid: LFM 40B MoE

liquid/lfm-40b

Created Sep 30, 202432,768 context

$0.15/M input tokens$0.15/M output tokens

Liquid's 40.3B Mixture of Experts (MoE) model. Liquid Foundation Models (LFMs) are large neural networks built with computational units rooted in dynamic systems.

LFMs are general-purpose AI models that can be used to model any kind of sequential data, including video, audio, text, time series, and signals.

See the launch announcement for benchmarks and more info.

Liquid: LFM 40B MoE

liquid/lfm-40b

Created Sep 30, 202432,768 context

$0.15/M input tokens$0.15/M output tokens

Liquid's 40.3B Mixture of Experts (MoE) model. Liquid Foundation Models (LFMs) are large neural networks built with computational units rooted in dynamic systems.

LFMs are general-purpose AI models that can be used to model any kind of sequential data, including video, audio, text, time series, and signals.

See the launch announcement for benchmarks and more info.

Sample code and API for LFM 40B MoE

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 400+ 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.