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VECTOR WIREAI INTELLIGENCE
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Gemma 3 1B Instruct vs LFM2.5-1.2B-JP-202606

Google · 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 47.215.662.8+47.2
  • Avg.LFM2.5-1.2B-JP-202606 by 37.924.662.5+37.9
  • J-BFCLv3LFM2.5-1.2B-JP-202606 by 30.717.348+30.7
  • Domain AvgLFM2.5-1.2B-JP-202606 by 29.223.953.1+29.2
  • J-GSM8KLFM2.5-1.2B-JP-202606 by 28.633.662.2+28.6
  • JHumanEval+LFM2.5-1.2B-JP-202606 by 24.42549.4+24.4
  • JMMLU-ProXLFM2.5-1.2B-JP-202606 by 22.114.136.2+22.1
  • JMMLULFM2.5-1.2B-JP-202606 by 19.734.554.2+19.7
  • JGPQALFM2.5-1.2B-JP-202606 by 4.524.228.7+4.5

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.