Skip to content
VECTOR WIREAI INTELLIGENCE
UTC

Claude 3.5 Sonnet vs LFM2-VL-1.6B

Anthropic · released

Wins 1 of 1 area

Images and charts

Liquid AI · released

Wins 0 of 1 area

—

Claude 3.5 Sonnet is the stronger all-rounder.

Scores updated · 7 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.

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

Claude 3.5 Sonnet$3.00 to read · $15.00 to write$18Price from Artificial Analysis
LFM2-VL-1.6BNo current price is tracked.

The biggest differences

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

Where Claude 3.5 Sonnet pulls ahead

  • Reads text in imagesOCRBench+43.9points aheadClaude 3.5 Sonnet79LFM2-VL-1.6B35.1
  • Math problems shown in pictures and chartsMathVista+16points aheadClaude 3.5 Sonnet67.7LFM2-VL-1.6B51.7
  • Questions that truly need the image to answerMMStar+12.3points aheadClaude 3.5 Sonnet62.2LFM2-VL-1.6B49.9

Where LFM2-VL-1.6B pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 7 tests both models report. The winning score is in its model's colour; marks a score checked independently.

Images and chartsClaude 3.5 Sonnet
  • OCRBenchClaude 3.5 Sonnet by 43.97935.1+43.9
  • MathVistaClaude 3.5 Sonnet by 1667.751.7+16
  • MMStarClaude 3.5 Sonnet by 12.362.249.9+12.3
  • BLINKClaude 3.5 Sonnet by 1256.544.5+12

Full images and charts ranking

Other results3 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, Claude 3.5 Sonnet or LFM2-VL-1.6B?

Claude 3.5 Sonnet wins the one area where both have results: images and charts. LFM2-VL-1.6B wins none.

How do you compare the two?

We use the 7 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 3 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.