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VECTOR WIREAI INTELLIGENCE
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LFM2.5-230M vs Qwen3.5 0.8B (Instruct)

Liquid AI · released

Wins 1 of 2 areas

Following instructions

Alibaba

Wins 1 of 2 areas

Reasoning

The two are evenly matched.LFM2.5-230M is better at following instructions; Qwen3.5 0.8B (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 LFM2.5-230M pulls ahead

  • Follows unfamiliar, precisely checkable instructionsIFBench+15.5points aheadLFM2.5-230M38.4Qwen3.5 0.8B (Instruct)22.9

Where Qwen3.5 0.8B (Instruct) pulls ahead

  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+2points aheadQwen3.5 0.8B (Instruct)27.4LFM2.5-230M25.4

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.

ReasoningQwen3.5 0.8B (Instruct)

Full reasoning ranking

Following instructionsLFM2.5-230M
  • IFBenchLFM2.5-230M by 15.538.422.9+15.5

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.

Questions people ask

Which is better, LFM2.5-230M or Qwen3.5 0.8B (Instruct)?

LFM2.5-230M and Qwen3.5 0.8B (Instruct) each win one of the two areas where both have results. LFM2.5-230M wins following instructions; Qwen3.5 0.8B (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.