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VECTOR WIREAI INTELLIGENCE
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Granite 4.1 30B vs Llama 3.1 Instruct 405B

IBM · released

Wins 1 of 6 areas

Following instructions

Meta · released

Wins 4 of 6 areas

Coding · Reasoning · Facts · Long documents

Llama 3.1 Instruct 405B is the stronger all-rounder.Granite 4.1 30B is better at following instructions.

Scores updated · 28 tests both models report · How we compare

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

Where Granite 4.1 30B pulls ahead

  • Follows unfamiliar, precisely checkable instructionsIFBench+5.4points aheadGranite 4.1 30B44.4Llama 3.1 Instruct 405B39

Every test, side by side

All 28 tests both models report. The winning score is in its model's colour; marks a score checked independently.

CodingLlama 3.1 Instruct 405B

Full coding ranking

AgentsEven

Full agents ranking

ReasoningLlama 3.1 Instruct 405B

Full reasoning ranking

FactsLlama 3.1 Instruct 405B

Full facts ranking

Long documentsLlama 3.1 Instruct 405B
  • AA-LCRLlama 3.1 Instruct 405B by 1.623.725.3+1.6

Full long documents ranking

Following instructionsGranite 4.1 30B
  • IFBenchGranite 4.1 30B by 5.444.439+5.4

Full following instructions ranking

Other results18 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, Granite 4.1 30B or Llama 3.1 Instruct 405B?

Llama 3.1 Instruct 405B wins four of the six areas where both have results: coding, reasoning, facts and long documents. Granite 4.1 30B wins following instructions. They are level on agents.

Which is better for coding?

Llama 3.1 Instruct 405B. It wins 2 of the 2 coding tests both models report; Granite 4.1 30B wins none.

How do you compare the two?

We use the 28 benchmark tests both models have published scores on. The verdict counts the 10 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 18 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.