LFM2.5-Embedding-350M

LFM2.5-Embedding-350M is a text embedding model from Liquid AI. It produces 1,024-dimensional embeddings for retrieval and semantic search. Successful OpenRouter requests and embeddings may be retained and used to train...

Context: 512 tokens
Max output: 460 tokens
Parameters: 0.35B total
Released: 2026-08-18
Weights: Open
Licence: lfm1.0

Weights on Hugging Face

liquid/lfm-2-5-embedding-350m · also seen as liquid/lfm-2.5-embedding-350m:free

Specifications

Full facts as recorded, incl. what is unknown.

Released: 2026-08-18
Weights: Opennot gated
License: lfm1.0
Input: Text
Output: Embeddings
Context window: 512 max across endpoints
Max output: 460
Providers: 0 + 1 gateway, not counted as providers
Epoch Capabilities Index: not evaluated
Direct price range: no comparable direct price

More details

Last updated: —
Knowledge cutoff
Weights link: Hugging Face · LiquidAI/LFM2.5-Embedding-350M
Parameters: 0.35B total
Base model: LiquidAI/LFM2.5-350M-Base

Capabilities

Across all endpoints: supported if any endpoint supports it.

Tool callingunknown
Parallel toolsunknown
Structured outputunknown
Reasoningunknown
Image inputunknown
PDF inputunknown
Audio inputunknown
Audio outputunknown
Video inputunknown
Prompt cachingunknown
Web searchunknown
Computer useunknown
System messagesunknown
Assistant prefillunknown
Temperatureunknown
Streamingunknown
Attachmentsunknown

Endpoints

One row per provider and variant; gateways are listed separately.

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Cost calculator

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Heads up: prices are indicative list rates scraped from provider pricing pages; verify with the provider before relying on them. Report incorrect data for this model