GLM-4.6V-Flash (9B) is the stronger all-rounder.
Scores updated · 15 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 GLM-4.6V-Flash (9B) pulls ahead
Where MiMo VL RL 2508 (7B) pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 15 tests both models report. The winning score is in its model's colour; marks a score checked independently.
Images and chartsGLM-4.6V-Flash (9B)
Other results10 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.
- ScreenSpot-Pro (No tools)GLM-4.6V-Flash (9B) by 10.945.734.8+10.9
- MATH-VisionMiMo VL RL 2508 (7B) by 5.65459.6+5.6
- OSWorld-GGLM-4.6V-Flash (9B) by 4.254.750.5+4.2
- AI2DGLM-4.6V-Flash (9B) by 3.988.985+3.9
- PhyXMiMo VL RL 2508 (7B) by 3.752.356+3.7
- HumanEval-VMiMo VL RL 2508 (7B) by 2.729.332+2.7
- ReMIMiMo VL RL 2508 (7B) by 2.360.863.1+2.3
- All-Angles-BenchGLM-4.6V-Flash (9B) by 1.653.251.6+1.6
- ScreenSpot-V2GLM-4.6V-Flash (9B) by 1.392.190.8+1.3
- MMBench (EN)GLM-4.6V-Flash (9B) by 1.19189.9+1.1
Questions people ask
Which is better, GLM-4.6V-Flash (9B) or MiMo VL RL 2508 (7B)?
GLM-4.6V-Flash (9B) wins the one area where both have results: images and charts. MiMo VL RL 2508 (7B) wins none.
How do you compare the two?
We use the 15 benchmark tests both models have published scores on. The verdict counts the 5 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 10 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.