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VECTOR WIREAI INTELLIGENCE
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Gemma 3 1B Instruct vs LFM2.5-1.2B-Thinking

Google · released

Wins 0 of 5 areas

—

Liquid AI · released

Wins 2 of 5 areas

Reasoning · Following instructions

LFM2.5-1.2B-Thinking wins more areas, narrowly.

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

Where each one wins

Tests won in each of the five 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.

Coding, long documents 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+21.9points aheadLFM2.5-1.2B-Thinking41.8Gemma 3 1B Instruct19.9
  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+10.2points aheadLFM2.5-1.2B-Thinking33.9Gemma 3 1B Instruct23.7
  • Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+3.6points aheadLFM2.5-1.2B-Thinking7.4Gemma 3 1B Instruct3.8

Where Gemma 3 1B Instruct pulls ahead

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.

CodingEven

Full coding ranking

ReasoningLFM2.5-1.2B-Thinking

Full reasoning ranking

FactsEven

Full facts ranking

Long documentsEven

Full long documents ranking

Following instructionsLFM2.5-1.2B-Thinking
  • IFBenchLFM2.5-1.2B-Thinking by 21.919.941.8+21.9

Full following instructions ranking

Other results9 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, Gemma 3 1B Instruct or LFM2.5-1.2B-Thinking?

LFM2.5-1.2B-Thinking wins two of the five areas where both have results: reasoning and following instructions. Gemma 3 1B Instruct wins none. They are level on coding, facts and long documents.

Which is better for coding?

Neither. All 1 coding tests both models report are ties.

How do you compare the two?

We use the 17 benchmark tests both models have published scores on. The verdict counts the 8 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 9 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.