LFM2.5-1.2B-Instruct
LFM2.5-1.2B-Instruct.
7
Benchmarks with a score
0
Ranked first, out of five or more models
0
In the top three
Liquid AI Jan 2026
LFM2.5-1.2B-Instruct
Open weights Small
114.3
#367 of 404
Self-Reported Index, from the lab's own numbers. No Epoch Capabilities Index score yet.
- IFBench 47.3% #67 /80
- MMLU-Pro 44.4% #159 /167
- AIME 2025 14% #142 /143
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| GPQA Diamond | 38.9% | #277 of 302 | Lab model card | |
| AIME 2025 | 14% | #142 of 143 | Lab model card |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Berkeley Function Calling Leaderboard (BFCL) | 49.1% | #41 of 41 | Lab model card |
Its lab's numbers put it at 114.3, number 367 of 404
The Self-Reported Index fits one score to the 7 capability results Liquid AI reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 110.5 to 118.0. How we compute it.
- IFEval 86.2
- Multi-IF 61
- Berkeley Function Calling Leaderboard (BFCL) 49.1
- IFBench 47.3
- MMLU-Pro 44.4
- GPQA Diamond 38.9
- AIME 2025 14
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.