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VECTOR WIREAI INTELLIGENCE
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LFM2.5-VL-1.6B vs LFM2.5-VL-450M-Extract

Liquid AI · released

Wins 2 of 2 areas

Reasoning · Images and charts

Liquid AI · released

Wins 0 of 2 areas

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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 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.

Reasoning 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 LFM2.5-VL-1.6B pulls ahead

  • Reads text in imagesOCRBench+11.8points aheadLFM2.5-VL-1.6B80.2LFM2.5-VL-450M-Extract68.4
  • Questions that truly need the image to answerMMStar+7.7points aheadLFM2.5-VL-1.6B50.7LFM2.5-VL-450M-Extract43
  • Visual perception tasks people solve at a glanceBLINK+4.9points aheadLFM2.5-VL-1.6B48.8LFM2.5-VL-450M-Extract43.9

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

ReasoningLFM2.5-VL-1.6B

Full reasoning ranking

Images and chartsLFM2.5-VL-1.6B
  • OCRBenchLFM2.5-VL-1.6B by 11.880.268.4+11.8
  • MMStarLFM2.5-VL-1.6B by 7.750.743+7.7
  • BLINKLFM2.5-VL-1.6B by 4.948.843.9+4.9

Full images and charts ranking

Other results6 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, LFM2.5-VL-1.6B or LFM2.5-VL-450M-Extract?

LFM2.5-VL-1.6B wins all two areas where both have results: reasoning and images and charts. LFM2.5-VL-450M-Extract wins none.

How do you compare the two?

We use the 10 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 6 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.