Liquid AI Launches LFM2.5-2.6B: An On-Device Agentic Model Outperforming Larger Peers
helloiamleonie · x · 2026-08-04
Liquid AI has released LFM2.5-2.6B, a 2.6B parameter agentic model designed entirely for on-device operation. It can plan, call tools, and execute multi-step tasks locally on phones, laptops, PCs, and robots, ensuring zero data leaves the device and marginal inference costs remain near zero.
Key Specs & Benchmarks:
- Built on the LFM2.5 flagship hybrid architecture, pre-trained on 34T tokens with a 128K context length.
- Delivers comparable or better scores than models up to 4x its size, beating Qwen3.5-9B on ToolSandbox (77.83) and Gemma-4-E4B-it on Multi-IF (80.07).
- Early testers confirmed that the official benchmarks align perfectly with independent evaluations.
Related event: Liquid AI Releases 2.6B On-Device Agent Model LFM2.5(18 posts)→
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