GPT-4o mini is the stronger all-rounder.
Scores updated · 11 tests both models report · How we compare
Where each one wins
Tests won in each of the one area 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.
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 11 tests both models report. The winning score is in its model's colour; marks a score checked independently.
Images and chartsGPT-4o mini
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.
- Video-MME OverallGPT-4o mini by 10.461.250.8+10.4
- MMMU (val) (Pass@1)GPT-4o mini by 9.152.143+9.1
- ScienceQA (img-test)Phi 3.5 Vision Instruct by 7.38491.3+7.3
- InterGPS (test)GPT-4o mini by 3.639.936.3+3.6
- AI2DPhi 3.5 Vision Instruct by 2.975.278.1+2.9
- POPE (test)Phi 3.5 Vision Instruct by 2.583.686.1+2.5
- MMBench (dev en)GPT-4o mini by 1.983.881.9+1.9
- TextVQA-valPhi 3.5 Vision Instruct by 1.170.972+1.1
Questions people ask
Which is better, GPT-4o mini or Phi 3.5 Vision Instruct?
GPT-4o mini wins the one area where both have results: images and charts. Phi 3.5 Vision Instruct wins none.
How do you compare the two?
We use the 11 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 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.