Liquid AI's New Model Matches DeepSeek in Agentic Tool Calls at 3.7x Speed
JosephJacks_ · x · 2026-08-07
Liquid AI's newly released 2.6B parameter model, LFM2.5-2.6B, achieves a breakthrough in agentic tool-calling capabilities. Tested against DeepSeek-V4-Flash on a machine with 4x RTX 5090s, the results highlight significant efficiency gains.
- Tasks: Included checking weather/time in six cities, currency conversion, and hotel booking. These tasks require the model to successfully fire all necessary tool calls to complete.
- Performance: Both models successfully completed all 35 tool calls, with 12 fired in a single turn. However, LFM2.5-2.6B operated at 366 tokens/s, finishing in 19 seconds, compared to DeepSeek-V4-Flash at 77 tokens/s and 70 seconds.
This demonstrates the efficiency advantages of Liquid's agent-optimized model for edge deployment (like smartphones) and high-frequency tool-calling scenarios.
Related event: Liquid AI 2.6B Model Matches DeepSeek in Tool Calling, 3.7x Faster(3 posts)→
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