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Morning Edition · Wednesday, August 5, 2026Published at 1:32 AM EDT · New York
A 2.6-Billion-Parameter Model Beats a 9-Billion Rival on Tool Use While Running on a Phone
Liquid AI's LFM2.5-2.6B scores 77.83 on ToolSandbox against 76.44 for Qwen3.5-9B, and a new benchmark released today argues on-device memory assistants are still badly under-tested.
Liquid AI released LFM2.5-2.6B, a 2.6-billion-parameter model built for agent workloads that run entirely on the device. The Russian-language channel AI ML Big Data summarized the release as a local agent that plans, calls tools and execute…
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Part of a tracked trend
AI Inference Shifts to Consumer Devices
Over the next 3-6 months, smaller efficient architectures and inference-cost optimizations push capable AI off the cloud and onto laptops, phones, and mobile NPUs.
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