The two are evenly matched.
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.
Where GPT-4o pulls ahead
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 chartsEven
Other results7 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.
- M-LongDoc (multimodal long-document benchmark)GPT-4o by 21.741.419.7+21.7
- AI2DGPT-4o by 7.494.286.8+7.4
- ChartQAInternVL2.5-78B by 5.885.791.5+5.8
- MEGA-Bench_macroGPT-4o by 4.149.445.3+4.1
- ChartQA_relaxedInternVL2.5-78B by 3.488.191.5+3.4
- DocVQAInternVL2.5-78B by 3.392.896.1+3.3
- OlympiadBenchtie25.225.1tie
Questions people ask
Which is better, GPT-4o or InternVL2.5-78B?
Neither wins more tests than the other in any of the one area where both have results.
How do you compare the two?
We use the 11 benchmark tests both models have published scores on. The verdict counts the 4 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 7 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.