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Benchmarks
Image Understanding on MMBench English
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86.82
Accuracy
Vanilla MoE
77.0752
79.6051
82.135
84.6649
Apr 19, 2026
Accuracy
Updated 26d ago
Evaluation Results
Method
Method
Links
Accuracy
Vanilla MoE
Backbone=QWEN3-VL-30B-...
2026.04
86.82
MACS (Ours)
Backbone=QWEN3-VL-30B-...
2026.04
86.67
MACS (w/o Expanded)
Backbone=QWEN3-VL-30B-...
2026.04
86.12
Vanilla MoE
Backbone=INTERNVL3.5-3...
2026.04
84.68
MACS (Ours)
Backbone=INTERNVL3.5-3...
2026.04
84.49
MACS (w/o Expanded)
Backbone=INTERNVL3.5-3...
2026.04
84.02
Vanilla MoE
Backbone=KIMI-VL-A3B-I...
2026.04
83.11
CAI-MoE (Expanded)
Backbone=QWEN3-VL-30B-...
2026.04
83.05
MACS (Ours)
Backbone=KIMI-VL-A3B-I...
2026.04
83.02
MACS (w/o Expanded)
Backbone=KIMI-VL-A3B-I...
2026.04
82.76
CAI-MoE (Token Drop)
Backbone=QWEN3-VL-30B-...
2026.04
81.34
CAI-MoE (Expanded)
Backbone=INTERNVL3.5-3...
2026.04
80.76
CAI-MoE (Expanded)
Backbone=KIMI-VL-A3B-I...
2026.04
79.62
CAI-MoE (Token Drop)
Backbone=INTERNVL3.5-3...
2026.04
78.23
CAI-MoE (Token Drop)
Backbone=KIMI-VL-A3B-I...
2026.04
77.45
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