1 source 2h ago
Liquid AI Releases LFM3 Suite of Six Open Models for Phones and Laptops
Liquid AI released LFM3, a family of small AI models that run on smartphones and laptops. The six models derive from LFM3-1.7B-Base, pretrained on 22 trillion tokens of scientific papers, code, and math problems.
Reporting from 1 source: GIGAZINE.
Why it matters
Liquid AI is staking its case on device memory and open weights rather than raw scale: LFM3-VL-2B posts higher benchmark scores than Qwen3.5 2B and Gemma 4 E2B, and in some tests beats the larger Gemma 4 12B, while the 1.7B model fits in 1.90GB on a phone.
Key Facts
- Liquid AI released LFM3, a six-model suite that runs on smartphones and laptops, with every model open.
- LFM3-1.7B-Base was pretrained on 22 trillion tokens covering scientific papers, code, and math problems.
- Liquid AI CEO Ramin Hasani appeared with AMD CEO Lisa Su at a January 2026 CES keynote to promote LFM3.
- LFM3-1.7B decodes at 43.6 per second on an iPhone 17 Pro with 1.90GB of memory use.
- LFM3-VL-2B records higher benchmark scores than Qwen3.5 2B and Gemma 4 E2B, and surpasses Gemma 4 12B in some tests.
Liquid AI developed the suite with AMD and Qualcomm, and CEO Ramin Hasani promoted it alongside AMD CEO Lisa Su at a January 2026 CES keynote. Every model, including the base, is open. LFM3-1.7B decodes at 43.6 per second on an iPhone 17 Pro with 1.90GB of memory use.
LFM3-VL-2B, the vision-language member, records higher benchmark scores than Qwen3.5 2B and Gemma 4 E2B, and in some tests surpasses the much larger Gemma 4 12B. That comparison is the argument behind the release: a model small enough for a laptop or a phone need not concede accuracy to others of comparable scale. The two d1 models step away from chat altogether and return judgments on options with confidence scores, a format built for decision tasks.
- LFM3-1.7B: language model with text input and output
- LFM3-VL-2B: vision-language model taking text, image, and video input
- LFM3-Audio-2B: audio model for text and audio input and output
- LFM3-Omni-2B: omni model taking text, image, video, and audio, returning text and audio
- d1-2B: decision model for text, images, and video
- d1-Omni-2B: decision model adding audio to text, images, and video
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