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VECTOR WIREAI INTELLIGENCE
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Granite 4.0 1B vs LFM2.5-1.2B-JP-202606

IBM · released

Liquid AI · released

Scores updated · 9 tests both models report · How we compare

Every test, side by side

All 9 tests both models report. The winning score is in its model's colour; marks a score checked independently.

Other results9 tests
  • J-MATH500LFM2.5-1.2B-JP-202606 by 37.425.462.8+37.4
  • Avg.LFM2.5-1.2B-JP-202606 by 28.434.162.5+28.4
  • JMMLU-ProXLFM2.5-1.2B-JP-202606 by 20.915.336.2+20.9
  • JMMLULFM2.5-1.2B-JP-202606 by 20.333.954.2+20.3
  • J-GSM8KLFM2.5-1.2B-JP-202606 by 19.442.862.2+19.4
  • Domain AvgLFM2.5-1.2B-JP-202606 by 14.638.553.1+14.6
  • JGPQALFM2.5-1.2B-JP-202606 by 4.324.428.7+4.3
  • J-BFCLv3Granite 4.0 1B by 2.650.648+2.6
  • JHumanEval+Granite 4.0 1B by 1.851.249.4+1.8

Questions people ask

How do you compare the two?

We use the 9 benchmark tests both models have published scores on. None of them is in the eight capability areas we count, so this page lists them without a verdict. Each score is the one shown on the model's own page.