Liquid AI and Artificial Analysis Open-Source Pipette, an On-Device AI Evaluation Suite

On August 25, Liquid AI and Artificial Analysis released Pipette, an open-source on-device intelligence evaluation suite, which was widely reshared by multiple accounts including @maximelabonne and @JosephJacks. It addresses the gap that existing benchmarks mostly target cloud services and fail to reflect real on-device performance, offering a unified, reproducible standard for edge model evaluation.

Confirmed

• Pipette was jointly released and open-sourced by Liquid AI and Artificial Analysis as an on-device intelligence evaluation suite
• It covers phones, PCs, AI boxes and embedded hardware
• It measures model quality, speed, latency and memory usage
• It provides a unified interface to compare combinations of model, quantization, runtime and device
• It supports open-source quantization, currently covering 35 model classes and 7 quantization schemes, with open data at the scale of ten thousand entries
• Reproducibility is one of its core design goals

Why it matters

Existing benchmark platforms focus on cloud services and struggle to reflect models' real quality and performance on end-user devices. By bringing models, quantization schemes, runtimes and hardware into one evaluation framework, Pipette provides a reproducible, unified standard for on-device model selection and deployment, promoting transparent comparison across the on-device AI ecosystem.

2026-08-25 ~ 2026-08-25 · 6 related posts

• Liquid AI Releases Pipette, a Benchmark Suite for On-Device AI — maximelabonne · 2026-08-25
• Pipette: Open source evaluation suite for on-device AI models — JosephJacks_ · 2026-08-25

4 near-duplicate retellings: JosephJacks_ · JosephJacks_ · JosephJacks_ · JosephJacks_