Skip to content
VECTOR WIREAI INTELLIGENCE
UTC

LFM2-350M vs Qwen3.5 0.8B (Instruct)

Liquid AI · released

Wins 0 of 2 areas

—

Alibaba

Wins 1 of 2 areas

Following instructions

Qwen3.5 0.8B (Instruct) wins more areas, narrowly.

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 Qwen3.5 0.8B (Instruct) pulls ahead

  • Follows unfamiliar, precisely checkable instructionsIFBench+6.5points aheadQwen3.5 0.8B (Instruct)22.9LFM2-350M16.4

Where LFM2-350M pulls ahead

No clear win on a test scored out of 100.

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.

ReasoningEven

Full reasoning ranking

Following instructionsQwen3.5 0.8B (Instruct)
  • IFBenchQwen3.5 0.8B (Instruct) by 6.516.422.9+6.5

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, LFM2-350M or Qwen3.5 0.8B (Instruct)?

Qwen3.5 0.8B (Instruct) wins one of the two areas where both have results: following instructions. LFM2-350M wins none. They are level on 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.