Skip to content
VECTOR WIREAI INTELLIGENCE
UTC

InternVL3.5-1B vs LFM2.5-VL-1.6B

OpenGVLab

Wins 0 of 1 area

—

Liquid AI · released

Wins 1 of 1 area

Images and charts

LFM2.5-VL-1.6B is the stronger all-rounder.

Scores updated · 10 tests both models report · How we compare

Where each one wins

Tests won in each of the one area 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.

The biggest differences

The tests each model wins by the widest margin, up to three each. Scores are out of 100.

Where LFM2.5-VL-1.6B pulls ahead

  • Reads text in imagesOCRBench+46.7points aheadLFM2.5-VL-1.6B80.2InternVL3.5-1B33.5
  • Visual perception tasks people solve at a glanceBLINK+4.6points aheadLFM2.5-VL-1.6B48.8InternVL3.5-1B44.2

Where InternVL3.5-1B pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 10 tests both models report. The winning score is in its model's colour; marks a score checked independently.

Images and chartsLFM2.5-VL-1.6B
  • OCRBenchLFM2.5-VL-1.6B by 46.733.580.2+46.7
  • BLINKLFM2.5-VL-1.6B by 4.644.248.8+4.6
  • MMStartie50.350.7tie

Full images and charts ranking

Other results7 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.

Questions people ask

Which is better, InternVL3.5-1B or LFM2.5-VL-1.6B?

LFM2.5-VL-1.6B wins the one area where both have results: images and charts. InternVL3.5-1B wins none.

How do you compare the two?

We use the 10 benchmark tests both models have published scores on. The verdict counts the 3 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 7 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.