Llama 3.2 Instruct 90B (Vision) wins more areas, narrowly.
Scores updated · 14 tests both models report · How we compare
Where each one wins
Tests won in each of the three 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.
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.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Every test, side by side
All 14 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingLlama 3.2 Instruct 90B (Vision)
- SciCodeLlama 3.2 Instruct 90B (Vision) by 1.122.924+1.1
Images and chartsEven
Other results8 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.
- GSM8KLlama 3.2 Instruct 90B (Vision) by 9.384.393.6+9.3
- naturalquestions_closedbookLlama 3.2 Instruct 90B (Vision) by 7.138.545.7+7.1
- AI2DLlama 3.2 Instruct 90B (Vision) by 3.775.278.9+3.7
- MMLULlama 3.2 Instruct 90B (Vision) by 3.566.870.3+3.5
- OpenBookQALlama 3.2 Instruct 90B (Vision) by 2.29294.2+2.2
- MATHGPT-4o mini by 1.180.279.1+1.1
- NarrativeQAtie76.877.7tie
- AA Intelligencetie6.76.4tie
Questions people ask
Which is better, GPT-4o mini or Llama 3.2 Instruct 90B (Vision)?
Llama 3.2 Instruct 90B (Vision) wins one of the three areas where both have results: coding. GPT-4o mini wins none. They are level on reasoning and images and charts.
Which is better for coding?
Llama 3.2 Instruct 90B (Vision). It wins the one coding test both models report.
How do you compare the two?
We use the 14 benchmark tests both models have published scores on. The verdict counts the 6 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 8 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.