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Multimodal Understanding on MM-Vet

82.2MM-Vet ScoreInternVL3.5-38B
58.38464.56770.7576.933Jan 29, 2024Jun 23, 2024Nov 16, 2024Apr 12, 2025Sep 5, 2025Jan 29, 2026Jun 25, 2026

Evaluation results

MethodLinks
InternVL3.5-38BLLM=Qwen3-32B2025.1282.2——
InternVL3Params=8B, Types=AR, Architecture Category=Und. Only2025.1181.3——
Qwen3-VL + DiGLLM=Qwen3-4B2025.1277.3——
Qwen3-VL + DiGLLM=Qwen3-8B2025.1276.8——
Qwen3-VLLLM=Qwen3-8B2025.1276.4——
Qwen2.5-VL 72BLLM=Qwen2.5-72B2025.1276.2——
Qwen3-VLLLM=Qwen3-4B2025.1276——
VLSI-7BSize=7B2024.1275.8——
GPT-4o (0806)Model Version=08062024.1275.1——
Qwen2-VL-72BSize=72B2024.1273.9——
EMMAParams=4B2025.1273——
Ming-Lite-UniParams=8B+1.6B, Architecture category=Multi-modal Understanding Models as Enhanced Conditional Encoders2026.0372.3——
MM1#param=30B, open-source=false2024.0472.1——
VLsIParameters=7B2024.1270.8——
Phantom-7BSize=7B2024.1270.8——
Qwen2.5VL 7B# Vis tok.=14002025.0469.7——
BAGEL (Ours)Baseline=BAGEL, Params=7B active2026.0669.5——
ResDecBase Model=Qwen2.5-VL2026.0268.7——
BLIP3o-8B (Ours)Baseline=BLIP3o-8B, Params=8B2026.0668.7——
VISTABase Model=Qwen2.5-VL2026.0267.8——
GPT-4V2024.0167.7——
GPT-4Vopen-source=false2024.0467.6——
GPT-4V (0409)Model Version=04092024.1267.5——
BAGELParams=7B+7B, Types=AR+Diff, Architecture Category=Uni. MoE/MoT Arch2025.1167.2——
BAGELParams=7B2025.1267.2——
BAGELParams=7B+7B, Architecture category=Integrating Autoregressive and Diffusion within Transformers2026.0367.2——
BAGALType=Und., # Params=14B2025.0367.2——
BAGELParams=7B + 7B*2025.0667.2——
Bagel+LatentUMM2026.0567.2——
BAGELBaseline=BAGEL, Params=7B active2026.0667.2——
UniWorld-V1Params=7B+12B, Types=AR+Diff, Architecture Category=Uni. Frozen MLLM2025.1167.1——
RegularBase Model=Qwen2.5-VL2026.0267.1——
UniWorld-V1Params=7B2025.1267.1——
UniWorld-V1Params=7B + 12B, Architecture category=Multi-modal Understanding Models as Enhanced Conditional Encoders2026.0367.1——
UniWorld-V1Params=7B + 12B*2025.0667.1——
Qwen2.5-VLLLM=Qwen2.5-7B, Token Type=2D-Continuous dynamic2026.0567.1——
OPERABase Model=Qwen2.5-VL2026.0266.9——
MIRROR (ours)Param Size=7B2026.0266.7——
Qwen-VL-Maxopen-source=false2024.0466.6——
Qwen2.5-VLParams=7B, Types=AR, Architecture Category=Und. Only2025.1166.6——
MetaQuery-XLParams=7B+1.6B, Types=AR+Diff, Architecture Category=Uni. Frozen MLLM2025.1166.6——
Blip3-oParams=7B+1.4B, Types=AR+Diff, Architecture Category=Uni. Frozen MLLM2025.1166.6——
BLIP3-oParams=7B2025.1266.6——
MetaQueryParams=7B + 1.6B, Architecture category=Multi-modal Understanding Models as Enhanced Conditional Encoders2026.0366.6——
Blip3-oParams=7B + 1.4B, Architecture category=Multi-modal Understanding Models as Enhanced Conditional Encoders2026.0366.6——
MetaQuery-XLParams=7B + 1.6B*2025.0666.6——
BLIP3-o 8BParams=7B + 1.4B*2025.0666.6——
BLIP3-oLLM=Qwen2.5VL-7B-Instruct, Token Type=2D-Continuous dynamic2026.0566.6——
BLIP3o-8BBaseline=BLIP3o-8B, Params=8B2026.0666.6——
Bagel+RecA2026.0566.1——
Claude3.5-Sonnet2024.1266——
BagelParams=14B2026.0565.9——
Bagel+SFT2026.0565.8——
DoLaBase Model=Qwen2.5-VL2026.0265.6——
VLsIParameters=2B2024.1264.8——
VLSI-2BParameters=2B2024.1264.8——
VLSI-2BSize=2B2024.1264.8——
VCDBase Model=Qwen2.5-VL2026.0264.7——
Bagel+UniCot2026.0564.5——
InternVL2-76BSize=76B2024.1264.4——
Gemini-Pro2024.0164.3——
Gemini Pro 1.0open-source=false2024.0464.3——
GPT-4VLLM=Unk, Encoder=Unk, Resolution=Unk, Zero-shot=true2024.0464.3——
Gemini ProLLM=Unk, Encoder=Unk, Resolution=Unk, Zero-shot=true2024.0464.3——
InternVL3Param Size=8B2026.0264.27——
LLaMA-3.2-Vision2024.1264.1——
Gemini-1.5-Pro2024.1264——
Step-1V#param=100B, open-source=false2024.0463.3——
MUSE-3B# LLM Params=2B2026.0562.9——
InternVL 1.5#param=26B, open-source=false2024.0462.8——
InternVL2.5Params=8B, Types=AR, Architecture Category=Und. Only2025.1162.8——
FLARE-X 8B# Vis tok.=14002025.0462.8——
InternVL2.5LLM=InternLM2.5-7B, Token Type=2D-Continuous dynamic2026.0562.8——
Omnigen2Params=7B2026.0562.7——
InternVL3# LLM Params=1.8B2026.0562.2——
UniLIP-3B# LLM Params=2B2026.0562.2——
Qwen2.5 VLParams=7B, Architecture category=Unifying Understanding and Generation via Next-token Prediction, VLMEvalKit=true2026.0362.1——
FLARE-X 3B# Vis tok.=14002025.0461.9——
Qwen-VL-MAXLLM Size=Unk2024.0361.8——
Qwen-VL-MaxLLM=Unk, Encoder=Unk, Resolution=Unk, Zero-shot=true2024.0461.8——
Qwen2.5-VLParams=3B, Types=AR, Architecture Category=Und. Only2025.1161.8——
OmniGen2Params=3B+4B, Types=AR+Diff, Architecture Category=Uni. Frozen MLLM2025.1161.8——
OmniGen2Params=3B2025.1261.8——
OmniGen2Params=3B + 4B, Architecture category=Multi-modal Understanding Models as Enhanced Conditional Encoders2026.0361.8——
OmniGen2Params=3B + 4B*2025.0661.8——
Qwen2.5-VL# LLM Params=3B2026.0561.8——
Qwen2.5VL 3B# Vis tok.=14002025.0461.4——
Molmo-72BSize=72B2024.1261.1——
Qwen-VL-Plusopen-source=false2024.0461.1——
InternVL2.5# LLM Params=1.8B2026.0560.8——
Bagel+UniGame2026.0560.7——
LLaVA-OV-72BSize=72B2024.1260.6——
BLIP3o-4BType=Und. and Gen. > 2B, # Total Params=7.1B2026.0260.1——
BLIP3-o# LLM Params=4B2026.0560.1——
MUSE-1B# LLM Params=1B2026.0560.1——
MIRROR (w/o tool)Param Size=7B2026.0259.91——
FLARE-L 8B# Vis tok.=6302025.0459.6——
InternVL3# LLM Params=1B2026.0559.5——
UniLIP-1B# LLM Params=1B2026.0559.4——
Mini-Gemini#param=35B, open-source=false2024.0459.3——