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VECTOR WIREAI INTELLIGENCE
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LFM2.5-1.2B-Instruct vs LFM2.5-1.2B-JP-202606

Liquid AI · 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
  • JHumanEval+LFM2.5-1.2B-JP-202606 by 20.728.749.4+20.7
  • Domain AvgLFM2.5-1.2B-JP-202606 by 13.439.753.1+13.4
  • J-MATH500LFM2.5-1.2B-JP-202606 by 12.85062.8+12.8
  • Avg.LFM2.5-1.2B-JP-202606 by 12.450.162.5+12.4
  • J-GSM8KLFM2.5-1.2B-JP-202606 by 1250.262.2+12
  • JMMLULFM2.5-1.2B-JP-202606 by 6.647.654.2+6.6
  • JMMLU-ProXLFM2.5-1.2B-JP-202606 by 4.831.436.2+4.8
  • JGPQALFM2.5-1.2B-Instruct by 331.728.7+3
  • J-BFCLv3LFM2.5-1.2B-JP-202606 by 1.746.348+1.7

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.