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Llama 3.1 Instruct 405B vs Qwen2 Instruct (72B)

Meta · released

Wins 2 of 2 areas

Coding · Reasoning

Alibaba · released

Wins 0 of 2 areas

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Llama 3.1 Instruct 405B is the stronger all-rounder.

Scores updated · 25 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.

Coding rests on a single test.

The biggest differences

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

Where Llama 3.1 Instruct 405B pulls ahead

  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+14.4points aheadLlama 3.1 Instruct 405B51.5Qwen2 Instruct (72B)37.1
  • Code for real scientific research problemsSciCode+7points aheadLlama 3.1 Instruct 405B29.9Qwen2 Instruct (72B)22.9

Where Qwen2 Instruct (72B) pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 25 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingLlama 3.1 Instruct 405B
  • SciCodeLlama 3.1 Instruct 405B by 729.922.9+7

Full coding ranking

ReasoningLlama 3.1 Instruct 405B

Full reasoning ranking

Other results22 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, Llama 3.1 Instruct 405B or Qwen2 Instruct (72B)?

Llama 3.1 Instruct 405B wins all two areas where both have results: coding and reasoning. Qwen2 Instruct (72B) wins none.

Which is better for coding?

Llama 3.1 Instruct 405B. It wins the one coding test both models report.

How do you compare the two?

We use the 25 benchmark tests both models have published scores on. The verdict counts the 3 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 22 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.