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VECTOR WIREAI INTELLIGENCE
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LFM2.5-1.2B-Thinking 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-Thinking is better at following instructions; Qwen3 1.7B (instruct) at reasoning.

Scores updated · 8 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-Thinking pulls ahead

  • Follows unfamiliar, precisely checkable instructionsIFBench+20.5points aheadLFM2.5-1.2B-Thinking41.8Qwen3 1.7B (instruct)21.3

Where Qwen3 1.7B (instruct) pulls ahead

  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+1points aheadQwen3 1.7B (instruct)34.9LFM2.5-1.2B-Thinking33.9

Every test, side by side

All 8 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-Thinking
  • IFBenchLFM2.5-1.2B-Thinking by 20.541.821.3+20.5

Full following instructions ranking

Other results6 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.

  • GSM8KLFM2.5-1.2B-Thinking by 51.985.633.7+51.9
  • AIME25 no toolsLFM2.5-1.2B-Thinking by 22.431.79.3+22.4
  • MATH-500 (EM)LFM2.5-1.2B-Thinking by 17.68870.4+17.6
  • IFEvalLFM2.5-1.2B-Thinking by 14.788.473.7+14.7
  • BFCL v3LFM2.5-1.2B-Thinking by 10.75746.3+10.7
  • MMLU-ProLFM2.5-1.2B-Thinking by 6.849.642.9+6.8

Questions people ask

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

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

How do you compare the two?

We use the 8 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 6 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.