Liquid LFM2.5-2.6B Card - AA-Omniscience-Public Accuracy: leaderboard
Share of questions answered correctly on the public question set of Artificial Analysis' Omniscience knowledge evaluation, run by Liquid AI with vLLM for the LFM2.5-2.6B model card. Percent, higher is better; thinking modes of the Gemma and Qwen models are not stated.
Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Around February 2027. 5 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3.5 9B | 21.3 | #391 |
| 2 | Qwen 3.5 4B | 17.63 | #514 |
| 3 | gemma-4-E4B-it | 8.33 | #577 |
| 4 | LFM2.5-2.6B | 8.13 | #836 |
| 5 | Gemma 4 E2B (IT) | 6.37 | #779 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=liquid-lfm2-5-2-6b-card-aa-omniscience-public-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-05.