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VECTOR WIREAI INTELLIGENCE
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LFM2.5-VL-3B vs North-Micro-Vision-Instruct

Liquid AI · released

Wins 1 of 1 area

Images and charts

Cohere · released

Wins 0 of 1 area

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LFM2.5-VL-3B is the stronger all-rounder.

Scores updated · 13 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-3B pulls ahead

  • Questions that truly need the image to answerMMStar+11.5points aheadLFM2.5-VL-3B63.3North-Micro-Vision-Instruct51.8
  • Visual perception tasks people solve at a glanceBLINK+8.8points aheadLFM2.5-VL-3B61.5North-Micro-Vision-Instruct52.7
  • Reads text in imagesOCRBench+5points aheadLFM2.5-VL-3B84.2North-Micro-Vision-Instruct79.2

Where North-Micro-Vision-Instruct pulls ahead

No clear win on a test scored out of 100.

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 chartsLFM2.5-VL-3B
  • MMStarLFM2.5-VL-3B by 11.563.351.8+11.5
  • BLINKLFM2.5-VL-3B by 8.861.552.7+8.8
  • OCRBenchLFM2.5-VL-3B by 584.279.2+5

Full images and charts ranking

Other results10 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-3B or North-Micro-Vision-Instruct?

LFM2.5-VL-3B wins the one area where both have results: images and charts. North-Micro-Vision-Instruct wins none.

How do you compare the two?

We use the 13 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 10 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.