North-Micro-Vision-Instruct vs Qwen3 VL 4B (Reasoning)
Wins 0 of 1 area
—
Wins 1 of 1 area
Images and charts
Qwen3 VL 4B (Reasoning) is the stronger all-rounder.
Scores updated · 13 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.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where Qwen3 VL 4B (Reasoning) pulls ahead
Where North-Micro-Vision-Instruct pulls ahead
No clear win on a test scored out of 100.
Every test, side by side
All 13 tests both models report. The winning score is in its model's colour; marks a score checked independently.
Images and chartsQwen3 VL 4B (Reasoning)
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.
- MMLU-ProQwen3 VL 4B (Reasoning) by 42.930.773.6+42.9
- MMMU (val) (Pass@1)Qwen3 VL 4B (Reasoning) by 37.932.970.8+37.9
- OCRBench v2_enQwen3 VL 4B (Reasoning) by 25.136.761.8+25.1
- RealWorldQAQwen3 VL 4B (Reasoning) by 1162.273.2+11
- IFEvalQwen3 VL 4B (Reasoning) by 7.774.982.6+7.7
- AI2DQwen3 VL 4B (Reasoning) by 7.477.584.9+7.4
- DocVQAQwen3 VL 4B (Reasoning) by 2.892.194.9+2.8
- DocVQA-valQwen3 VL 4B (Reasoning) by 2.692.194.7+2.6
- HallusionBenchQwen3 VL 4B (Reasoning) by 2.661.564.1+2.6
- ChartQAQwen3 VL 4B (Reasoning) by 2.580.883.3+2.5
Questions people ask
Which is better, North-Micro-Vision-Instruct or Qwen3 VL 4B (Reasoning)?
Qwen3 VL 4B (Reasoning) wins the one area where both have results: images and charts. North-Micro-Vision-Instruct wins none.
How do you compare the two?
We use the 13 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 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.