Device intelligence is about what an agent delivers within a time and memory budget.…
This is a AI post classified by Jev as Open & local models (a model release), kept by the AI Radar because it carries real work, not commentary.
Device intelligence is about what an agent delivers within a time and memory budget. Combining Artificial Analysis’s 16K-context intelligence, end-to-end latency, peak memory and one-minute task completion scores places four of five LFM2.5 models on the joint Pareto frontier on both iPhone 17 Pro and Galaxy S26 Ultra. LFM2.5-2.6B ranks co-first with Nanbeige 3B on intelligence among 39 models tested including models 3-10x larger, with roughly 40% less memory footprint and 3x lower latency. On iPhone, that means 2.32 GB peak memory and 8.0s end-to-end latency, versus Nanbeige’s 4.03 GB and 21
Posted by Liquid AI (36.3k followers) 1 h ago · 108 likes · 4.8k views · view the original post on X. Kept by the AI Radar as Open & local models. Tools mentioned: Intelligence Benchmarking.
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