InternVL3_5-4B vs LFM2.5-VL-1.6B
Wins 1 of 2 areas
Images and charts
Wins 1 of 2 areas
Following instructions
The two are evenly matched.InternVL3_5-4B is better at images and charts; LFM2.5-VL-1.6B at following instructions.
Scores updated · 13 tests both models report · How we compare
Where each one wins
Tests won in each of the two areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
Following instructions rests on a single test.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where InternVL3_5-4B pulls ahead
Every test, side by side
All 13 tests both models report. The winning score is in its model's colour; marks a score checked independently.
Images and chartsInternVL3_5-4B
Following instructionsLFM2.5-VL-1.6B
- IFBenchLFM2.5-VL-1.6B by 8.624.533.1+8.6
Other results9 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- VLM Judge ScoreInternVL3_5-4B by 24.290.266+24.2
- MMMU (val) (Pass@1)InternVL3_5-4B by 20.160.740.6+20.1
- ChartQA TestInternVL3_5-4B by 12.386.273.9+12.3
- MMMBInternVL3_5-4B by 9.881.571.7+9.8
- HallusionBenchLFM2.5-VL-1.6B by 852.160.1+8
- OCRBench v2_enInternVL3_5-4B by 7.649.141.5+7.6
- DocVQA-valInternVL3_5-4B by 4.191.887.7+4.1
- RealWorldQAInternVL3_5-4B by 2.967.764.8+2.9
- MM-IFEvalInternVL3_5-4B by 2.254.552.3+2.2
Questions people ask
Which is better, InternVL3_5-4B or LFM2.5-VL-1.6B?
InternVL3_5-4B and LFM2.5-VL-1.6B each win one of the two areas where both have results. InternVL3_5-4B wins images and charts; LFM2.5-VL-1.6B wins following instructions.
How do you compare the two?
We use the 13 benchmark tests both models have published scores on. The verdict counts the 4 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 9 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.