Liquid AI's tiny longevity models top GPT-5 and Gemini in Cell-published biology benchmark
JosephJacks_ · x · 2026-09-18
Liquid AI, partnering with Insilico Medicine, published a Cell cover paper claiming its Liquid Foundation Models set state-of-the-art on biological longevity tasks, outperforming Gemini-3.1-Pro, GPT-5, and Claude Opus.
Releases include:
- LongevityBench: a 17-task eval suite covering clinical records, DNA methylation, transcriptomics, plasma proteomics, and genetic evidence, testing whether general LLMs can interpret aging data.
- LFM2-1.2B-Longevity and LFM2-2.6B-Longevity: compact specialized models that run on personal devices for healthcare and longevity research.
The team argues frontier-class capability on-device is especially valuable in specialized verticals like healthcare. Note the claims come from the vendor's own benchmark suite.
More from Models
- AWS's open-source Strands Harness claims 45% cheaper than Claude Code, reigniting harness debate — blaizedsouza · 2026-11-02
- Yacine calls Terra High 'kind of an insane model' — yacineMTB · 2026-11-02
- Running DeepSeek V4.1 on a single H200 at $5.30/hr — daluoseo · 2026-11-02
- Leaked Fable 5.5 checkpoint video called 'pure code' — 'will change the game' — kimmonismus · 2026-11-02
- Claude Opus 5.5 quality complaints spark debate on why continual learning is so hard — JeremyNguyenPhD · 2026-11-02
- Why is AI sexist? Reddit debate on models overlooking Iceland's women's strike — Mathemodel · 2026-11-02