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VECTOR WIREAI INTELLIGENCE
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InternVL3.5-1B vs LFM2.5-VL-450M-Extract

OpenGVLab

Wins 0 of 1 area

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Liquid AI · released

Wins 0 of 1 area

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The two are evenly matched.

Scores updated · 8 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 InternVL3.5-1B pulls ahead

  • Questions that truly need the image to answerMMStar+7.3points aheadInternVL3.5-1B50.3LFM2.5-VL-450M-Extract43

Where LFM2.5-VL-450M-Extract pulls ahead

  • Reads text in imagesOCRBench+34.9points aheadLFM2.5-VL-450M-Extract68.4InternVL3.5-1B33.5

Every test, side by side

All 8 tests both models report. The winning score is in its model's colour; marks a score checked independently.

Images and chartsEven
  • OCRBenchLFM2.5-VL-450M-Extract by 34.933.568.4+34.9
  • MMStarInternVL3.5-1B by 7.350.343+7.3
  • BLINKtie44.243.9tie

Full images and charts ranking

Other results5 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-450M-Extract?

Neither wins more tests than the other in any of the one area where both have results.

How do you compare the two?

We use the 8 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 5 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.