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Multimodal Understanding on MMMU (val)

85.2MMMU ScoreGemini 3 Pro
43.70454.47765.2576.023Feb 18, 2024Jul 8, 2024Nov 26, 2024Apr 17, 2025Sep 5, 2025Jan 24, 2026Jun 15, 2026

Evaluation results

MethodLinks
Gemini 3 ProModel Category=API call only2026.0185.2——————————
GPT-5Model Category=API call only2026.0181.8——————————
Gemini 2.5 ProModel Category=API call only2026.0179.6——————————
Gemini 2.5 FlashModel Category=API call only2026.0179——————————
GPT-5 miniModel Category=API call only2026.0178.7——————————
Claude Sonnet 4.5Model Category=API call only2026.0177.8——————————
Claude Sonnet 4Release=20252026.0574.4——————————
InternVL3.5-8BModel Category=Open weights only2026.0173.4——————————
Keye-VL-1.5-8BModel Category=Open weights only2026.0171.4——————————
Qwen3-VL-8BModel Category=Open weights only2026.0169.6——————————
GLM-4.1V-9BModel Category=Open weights only2026.0168——————————
MiniCPM-V-4.5-8BModel Category=Open weights only2026.0167.7——————————
Qwen3-VL-4BModel Category=Open weights only2026.0167.4——————————
InternVL3.5-4BModel Category=Open weights only2026.0166.6——————————
FastMMoE†Vision Token Retention Ratio=75%, lv=6, Kv=5, Saving FLOPs. (%)=37.592025.1161.11—————————1.76
FastMMoE*Vision Token Retention Ratio=50%, Saving FLOPs. (%)=44.232025.1161—————————2.8
FastMMoE†Vision Token Retention Ratio=75%, lv=3, Kv=4, Saving FLOPs. (%)=44.652025.1160.78—————————2.31
FastMMoE*Vision Token Retention Ratio=25%, Saving FLOPs. (%)=64.302025.1160.78—————————5.63
BaselineVision Token Retention Ratio=100%, Saving FLOPs. (%)=02025.1160.67—————————0
FastMMoE*Vision Token Retention Ratio=75%, Saving FLOPs. (%)=21.992025.1160.67—————————1.6
FastVVision Token Retention Ratio=75%, Saving FLOPs. (%)=21.992025.1160.22—————————2.22
FastMMoE†Vision Token Retention Ratio=50%, lv=6, Kv=5, Saving FLOPs. (%)=55.022025.1160.11—————————3.53
FastVVision Token Retention Ratio=50%, Saving FLOPs. (%)=44.232025.1160—————————4.82
Claude 3 Opus (Opus 3)Release=20232026.0559.4——————————
FastMMoE†Vision Token Retention Ratio=50%, lv=3, Kv=3, Saving FLOPs. (%)=64.552025.1159.33—————————4.47
FastMMoE†Vision Token Retention Ratio=25%, lv=6, Kv=5, Saving FLOPs. (%)=70.472025.1159—————————7.27
SparseVLMVision Token Retention Ratio=75%, Saving FLOPs. (%)=21.992025.1158.89—————————9.09
VanillaMode=Upper bound2024.1258.6——————————
Gemini 1.5 ProZero-shot=true2024.0558.5——————————
SparseVLMImage token reduction ratio=66.7%2024.1258.4——————————
VisionZipImage token reduction ratio=66.7%2024.1258.3——————————
iLLaVAImage token reduction ratio=66.7%2024.1258.2——————————
Qwen2.5-VL2026.0158——————————
InternVL3.5-8BParameter Scale=8B2026.0558——————————
FasterVLMImage token reduction ratio=66.7%2024.1257.9——————————
PyramidDropImage token reduction ratio=66.7%2024.1257.9——————————
iLLaVAImage token reduction ratio=77.8%2024.1257.9——————————
FastVVision Token Retention Ratio=25%, Saving FLOPs. (%)=64.302025.1157.89—————————9.95
InternVL3.5-4BParameter Scale=4B2026.0557.2——————————
SparseVLMVision Token Retention Ratio=50%, Saving FLOPs. (%)=44.232025.1157.11—————————16.6
iLLaVAImage token reduction ratio=88.9%2024.1256.9——————————
GPT-4V2024.0756.865.364.348.463.576.341.7————
FasterVLMImage token reduction ratio=77.8%2024.1256.8——————————
SparseVLMImage token reduction ratio=77.8%2024.1256.7——————————
VisionZipImage token reduction ratio=77.8%2024.1256.7——————————
VisionZipImage token reduction ratio=88.9%2024.1256——————————
FasterVLMImage token reduction ratio=88.9%2024.1255.9——————————
Eagle2.5-8BModel Category=Open weights only2026.0155.8——————————
SparseVLMImage token reduction ratio=88.9%2024.1255.6——————————
PyramidDropImage token reduction ratio=77.8%2024.1255.3——————————
Bagel2026.0455.3——————————
BAGELType=Native Unified, # Params.=14B2026.0555.3——————————
BAGEL# Params.=14B2026.0655.3——————————
SenseChat-V2024.0754.662.744.142.355.774.743.5————
LatentUMBasequantized setting=false2026.0454.6——————————
Qwen3-VL-8BParameter Scale=8B2026.0554.3——————————
Molmo-72BModel Category=Molmo1 family2026.0154.1——————————
SparseVLMVision Token Retention Ratio=25%, Saving FLOPs. (%)=64.302025.1153.89—————————24.43
GPT-4V-1106Size=> 8B2024.0253.8——————————
Claude 3 SonnetZero-shot=true2024.0553.1——————————
VILA2-40BModel Scale=40B2024.07536242.338.551.971.942.3————
Molmo2-8BModel Category=Molmo2 family2026.0153——————————
VLM-UniDDT# Params.=4B+1B2026.0652.6——————————
PyramidDropImage token reduction ratio=88.9%2024.1252.3——————————
LatentUMBasequantized setting=true2026.0452.3——————————
Circle-RoPEParameters=3B, Supervised Fine-Tuning (SFT)=true2025.0552.11——————————
InternVL-Chat-V1.2Version=V1.22024.0751.662.537.637.949.770.140.8————
InternVL2.5Parameters=4B2025.0551.56——————————
Qwen2.5-VL (SFT)Parameters=3B, Supervised Fine-Tuning (SFT)=true2025.0551.56——————————
Qwen-VL-MAX2024.0751.464.239.836.352.570.440.7————
Qwen3-VL-4BParameter Scale=4B2026.0551.4——————————
LLaVA-NeXTSize=34B, # tokens per image=2880, Zero-shot=true2024.0551.1——————————
Molmo2-4BModel Category=Molmo2 family2026.0150.9——————————
BLIP3o 8B2026.0450.6——————————
Qwen-2.5-VL-InstructType=Und. Only, # Params.=7B2026.0550.6——————————
BLIP3-oType=Composite Unified, # Params.=8B2026.0550.6——————————
Qwen2.5-VLParameters=3B2025.0550.22——————————
Claude 3 HaikuZero-shot=true2024.0550.2——————————
InternVL3.5-2BParameter Scale=2B2026.0549.9——————————
TUNAType=Native Unified, # Params.=7B2026.0549.8——————————
Cambrian-1-34BModel Scale=34B2024.0749.7——————————
Molmo2026.0149.1——————————
Show-o22026.0448.9——————————
Show-o2Type=Native Unified, # Params.=7B2026.0548.9——————————
Show-o2# Params.=7B2026.0648.9——————————
Molmo2-4BParameter Scale=4B2026.0548.8——————————
LLaVA-OV# Params.=7B2026.0648.8——————————
LLaVA-1.62024.0748.158.639.93651.270.236.3————
Mini-Gemini-HDSize=34B, # tokens per image=2880, Zero-shot=true2024.0548——————————
Mini-Gemini-HD-34BModel Scale=34B2024.0748——————————
Gemini 1.0 ProZero-shot=true2024.0547.9——————————
LLaVA-OneVision2026.0147.9——————————
Molmo2-8BParameter Scale=8B2026.0547.7——————————
Gemma3-4b-it2026.0147.3——————————
BLIP3o 4B2026.0446.6——————————
Marco-VL-Plus*2024.0746.257.434.738.548.772.236.7————
PLM-8BModel Category=Open models2026.0146.1——————————
Yi-VL2024.0745.956.133.332.945.966.536————
Molmo2-O-7BModel Category=Molmo2 family2026.0145.8——————————
Molmo-7B-DModel Category=Molmo1 family2026.0145.3——————————