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

Liquid AI · released

Wins 1 of 2 areas

Following instructions

Alibaba

Wins 1 of 2 areas

Reasoning

The two are evenly matched.LFM2.5-1.2B-Instruct is better at following instructions; Qwen3 1.7B (instruct) at reasoning.

Scores updated · 17 tests both models report · How we compare

Where each one wins

Tests won in each of the two areas 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.

Reasoning and following instructions rest on a single test each.

The biggest differences

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

Where LFM2.5-1.2B-Instruct pulls ahead

  • Follows unfamiliar, precisely checkable instructionsIFBench+22.5points aheadLFM2.5-1.2B-Instruct43.8Qwen3 1.7B (instruct)21.3

Where Qwen3 1.7B (instruct) pulls ahead

  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+2.3points aheadQwen3 1.7B (instruct)34.9LFM2.5-1.2B-Instruct32.6

Every test, side by side

All 17 tests both models report. The winning score is in its model's colour; marks a score checked independently.

ReasoningQwen3 1.7B (instruct)

Full reasoning ranking

Following instructionsLFM2.5-1.2B-Instruct
  • IFBenchLFM2.5-1.2B-Instruct by 22.543.821.3+22.5

Full following instructions ranking

Other results15 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.

  • MATH-500 (EM)Qwen3 1.7B (instruct) by 64.65.870.4+64.6
  • GSM8KQwen3 1.7B (instruct) by 29.44.333.7+29.4
  • JHumanEval+Qwen3 1.7B (instruct) by 18.928.747.6+18.9
  • IFEvalLFM2.5-1.2B-Instruct by 12.586.273.7+12.5
  • J-MATH500Qwen3 1.7B (instruct) by 6.45056.4+6.4
  • J-BFCLv3Qwen3 1.7B (instruct) by 6.246.352.5+6.2
  • JGPQALFM2.5-1.2B-Instruct by 5.431.726.3+5.4
  • Domain AvgQwen3 1.7B (instruct) by 5.139.744.8+5.1
  • AIME25 no toolsLFM2.5-1.2B-Instruct by 4.7149.3+4.7
  • J-GSM8KLFM2.5-1.2B-Instruct by 4.250.246+4.2
  • BFCL v3LFM2.5-1.2B-Instruct by 2.849.146.3+2.8
  • MMLU-ProLFM2.5-1.2B-Instruct by 1.544.442.9+1.5
  • Avg.Qwen3 1.7B (instruct) by 1.150.151.2+1.1
  • JMMLU-ProXtie31.430.8tie
  • JMMLUtie47.647.7tie

Questions people ask

Which is better, LFM2.5-1.2B-Instruct or Qwen3 1.7B (instruct)?

LFM2.5-1.2B-Instruct and Qwen3 1.7B (instruct) each win one of the two areas where both have results. LFM2.5-1.2B-Instruct wins following instructions; Qwen3 1.7B (instruct) wins reasoning.

How do you compare the two?

We use the 17 benchmark tests both models have published scores on. The verdict counts the 2 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 15 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.