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LFM2.5-Embedding-350M
About LFM2.5-Embedding-350M
LFM2.5-Embedding-350M is an AI model developed by Liquid AI, in the embedding category, released in 2026, made available as an open-weights model with 0.4B params. A 350M-parameter dense bi-encoder embedding model and one of the first bidirectional members of the LFM family, built fo.
On this page you'll find LFM2.5-Embedding-350M's full specifications. Review provider pricing and benchmark scores below, or compare LFM2.5-Embedding-350M head-to-head with other embedding models.
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Frequently asked questions
What is LFM2.5-Embedding-350M? ▶
A 350M-parameter dense bi-encoder embedding model and one of the first bidirectional members of the LFM family, built fo It is tracked on GenAIList with its specifications, benchmark scores and provider pricing.
Who created LFM2.5-Embedding-350M? ▶
LFM2.5-Embedding-350M was developed by Liquid AI and released in 2026.
Is LFM2.5-Embedding-350M open source or proprietary? ▶
LFM2.5-Embedding-350M ships as an open-weights model: you can download and self-host the weights, though the licence may place some restrictions on use.
How much does LFM2.5-Embedding-350M cost? ▶
Pricing for LFM2.5-Embedding-350M depends on the provider. See the providers table on this page for the latest API rates.
How does LFM2.5-Embedding-350M perform on benchmarks? ▶
Benchmark scores for LFM2.5-Embedding-350M are listed on this page as they are published. You can compare it head-to-head with other models on the GenAIList compare tool.
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