GLM-4.6V (106B-A12B) is the stronger all-rounder.
Scores updated · 7 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 7 tests both models report. The winning score is in its model's colour; marks a score checked independently.
Images and chartsGLM-4.6V (106B-A12B)
Other results3 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.
- AIME 2025GLM-4.6V (106B-A12B) by 60.271.911.7+60.2
- MATH-VisionGLM-4.6V (106B-A12B) by 33.163.530.4+33.1
- LiveCodeBenchGLM-4.6V (106B-A12B) by 10.448.738.3+10.4
Questions people ask
Which is better, GLM-4.6V (106B-A12B) or GPT-4o?
GLM-4.6V (106B-A12B) wins the one area where both have results: images and charts. GPT-4o wins none.
How do you compare the two?
We use the 7 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 3 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.