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Gemini 1.5 Pro vs Llama 3.1 Instruct 405B

Google · released

Wins 2 of 2 areas

Coding · Reasoning

Meta · released

Wins 0 of 2 areas

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Gemini 1.5 Pro is the stronger all-rounder.

Scores updated · 32 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.

The biggest differences

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

Where Gemini 1.5 Pro pulls ahead

  • Fixes real GitHub issues in Python projectsSWE-bench Verified+9.7points aheadGemini 1.5 Pro34.2Llama 3.1 Instruct 405B24.5
  • Graduate-level biology, physics and chemistry questionsGPQA Diamond+7.4points aheadGemini 1.5 Pro58.9Llama 3.1 Instruct 405B51.5
  • Common-sense trick questionsSimpleBench+4.1points aheadGemini 1.5 Pro27.1Llama 3.1 Instruct 405B23

Where Llama 3.1 Instruct 405B pulls ahead

No clear win on a test scored out of 100.

Every test, side by side

All 32 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingGemini 1.5 Pro

Full coding ranking

ReasoningGemini 1.5 Pro

Full reasoning ranking

Other results27 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, Gemini 1.5 Pro or Llama 3.1 Instruct 405B?

Gemini 1.5 Pro wins all two areas where both have results: coding and reasoning. Llama 3.1 Instruct 405B wins none.

Which is better for coding?

Gemini 1.5 Pro. It wins 1 of the 2 coding tests both models report; Llama 3.1 Instruct 405B wins none, and 1 is a tie.

How do you compare the two?

We use the 32 benchmark tests both models have published scores on. The verdict counts the 5 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 27 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.