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LFM2-8B-A1B (Non-Reasoning) vs Llama 3.2 Instruct 1B

Liquid AI · released

Wins 3 of 4 areas

Coding · Reasoning · Following instructions

Meta · released

Wins 0 of 4 areas

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LFM2-8B-A1B (Non-Reasoning) is the stronger all-rounder.

Scores updated · 21 tests both models report · How we compare

Where each one wins

Tests won in each of the four 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.

Following instructions rests on a single test.

What it costs

Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.

LFM2-8B-A1B (Non-Reasoning)No current price is tracked.
Llama 3.2 Instruct 1B$0.03 to read · $0.20 to write$0.23Price from meta-llama

The biggest differences

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

Where LFM2-8B-A1B (Non-Reasoning) pulls ahead

  • Recent programming contest problemsLiveCodeBench v6+16.9points aheadLFM2-8B-A1B (Non-Reasoning)21Llama 3.2 Instruct 1B4.1
  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+14.8points aheadLFM2-8B-A1B (Non-Reasoning)34.4Llama 3.2 Instruct 1B19.6
  • Code for real scientific research problemsSciCode+5.1points aheadLFM2-8B-A1B (Non-Reasoning)6.8Llama 3.2 Instruct 1B1.7

Where Llama 3.2 Instruct 1B pulls ahead

Every test, side by side

All 21 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingLFM2-8B-A1B (Non-Reasoning)

Full coding ranking

ReasoningLFM2-8B-A1B (Non-Reasoning)

Full reasoning ranking

FactsEven

Full facts ranking

Following instructionsLFM2-8B-A1B (Non-Reasoning)
  • IFBenchLFM2-8B-A1B (Non-Reasoning) by 3.526.322.8+3.5

Full following instructions ranking

Other results12 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)LFM2-8B-A1B (Non-Reasoning) by 50.874.223.4+50.8
  • HumanEval+LFM2-8B-A1B (Non-Reasoning) by 46.369.523.2+46.3
  • MGSMLFM2-8B-A1B (Non-Reasoning) by 43.372.429.1+43.3
  • IFEvalLFM2-8B-A1B (Non-Reasoning) by 25.277.652.4+25.2
  • BFCL v3LFM2-8B-A1B (Non-Reasoning) by 23.745.121.4+23.7
  • AA-OmniscienceLlama 3.2 Instruct 1B by 21.8-76.5-54.7+21.8
  • MMLULFM2-8B-A1B (Non-Reasoning) by 18.264.846.6+18.2
  • LCB v5LFM2-8B-A1B (Non-Reasoning) by 17.821.43.6+17.8
  • MMMLULFM2-8B-A1B (Non-Reasoning) by 17.155.338.1+17.1
  • MMLU-ProLFM2-8B-A1B (Non-Reasoning) by 16.637.420.8+16.6
  • τ²-Bench Telecom (AA run)LFM2-8B-A1B (Non-Reasoning) by 10.510.50+10.5
  • AA Intelligencetie4.94.8tie

Questions people ask

Which is better, LFM2-8B-A1B (Non-Reasoning) or Llama 3.2 Instruct 1B?

LFM2-8B-A1B (Non-Reasoning) wins three of the four areas where both have results: coding, reasoning and following instructions. Llama 3.2 Instruct 1B wins none. They are level on facts.

Which is better for coding?

LFM2-8B-A1B (Non-Reasoning). It wins 2 of the 3 coding tests both models report; Llama 3.2 Instruct 1B wins none, and 1 is a tie.

How do you compare the two?

We use the 21 benchmark tests both models have published scores on. The verdict counts the 9 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 12 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.