Open SourceLiquid AIReleased 2026-10

LFM3

Liquid AI's family of 2B-class open models for on-device agents, vision, audio and decisions

Context window

256K

Input / 1M tokens

Free

Output / 1M tokens

Free

Provider

Liquid AI

Open weights on Hugging Face under the LFM Open License v1.0. Liquid AI's launch post lists no hosted API pricing. · Data verified 2026-11-03

LFM3 (October 27, 2026) is Liquid AI's third-generation family of small open-weight models, all built from LFM3-1.7B-Base. It includes LFM3-1.7B for text, agentic use and tool calling with a 256K-token context window, LFM3-VL-2B for image and video input, LFM3-Audio-2B and LFM3-Omni-2B for speech in and out, and d1-2B decision models that return calibrated answers instead of generated text. Liquid AI reports that LFM3-1.7B outperforms the larger LFM2.5-2.6B, and its model card advises against using it for agentic coding or complex multi-step reasoning.

How to access it

Download open weights from Hugging Face (for example LiquidAI/LFM3-1.7B) under the LFM Open License v1.0. Liquid AI points to llama.cpp for on-device vision inference and provides fine-tuning notebooks.

Strengths

  • ✓Small enough for local and on-device use (about 1.7B to 2B parameters)
  • ✓256K-token context window on the text model
  • ✓Text, vision, audio and omni-modal variants from one base model
  • ✓38.42 on WebArena-Verified for LFM3-1.7B vs 3.02 for LFM2.5-2.6B (Liquid AI-reported)
  • ✓Base model released for custom post-training

Best for developers who...

On-device and local agents with tool callingStructured output and extraction on edge hardwareDomain-specific fine-tuning

When to choose it (and when not to)

Reach for LFM3 when...

  • →You need a model that runs locally on modest hardware
  • →You want a small base model to fine-tune for one task

Look elsewhere if...

  • ✕Agentic coding or complex multi-step reasoning (the model card advises against it)
  • ✕Knowledge-heavy tasks without retrieval or search

Benchmarks

BenchmarkScoreNotes
WebArena-Verified38.42LFM3-1.7B, Liquid AI-reported; LFM2.5-2.6B scored 3.02
Vision benchmark average (62 benchmarks)71.4LFM3-VL-2B, Liquid AI-reported; LFM2.5-VL-3B scored 57.6
UTMOSv2 speech quality3.83LFM3-Audio-2B, Liquid AI-reported; LFM2.5-Audio-1.5B scored 3.22

Source: Liquid AI LFM3 launch post (Hugging Face)

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