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VECTOR WIREAI INTELLIGENCE
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LFM2.5-1.2B-JP-202606 vs Qwen3 1.7B (instruct)

Liquid AI · released

Alibaba

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-GSM8KLFM2.5-1.2B-JP-202606 by 16.262.246+16.2
  • Avg.LFM2.5-1.2B-JP-202606 by 11.362.551.2+11.3
  • Domain AvgLFM2.5-1.2B-JP-202606 by 8.353.144.8+8.3
  • JMMLULFM2.5-1.2B-JP-202606 by 6.554.247.7+6.5
  • J-MATH500LFM2.5-1.2B-JP-202606 by 6.462.856.4+6.4
  • JMMLU-ProXLFM2.5-1.2B-JP-202606 by 5.436.230.8+5.4
  • J-BFCLv3Qwen3 1.7B (instruct) by 4.54852.5+4.5
  • JGPQALFM2.5-1.2B-JP-202606 by 2.428.726.3+2.4
  • JHumanEval+LFM2.5-1.2B-JP-202606 by 1.849.447.6+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.