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ResearchFormerly WizWand

Multi-modal Understanding on MMBench V1.1

87.03AccuracyInternVL3.5-38B
39.845252.095164.34576.5949Feb 25, 2025Apr 15, 2025Jun 3, 2025Jul 23, 2025Sep 10, 2025Oct 29, 2025Dec 18, 2025
Updated 8mo ago

Evaluation results

MethodLinks
InternVL3.5-38BModel Type=Understanding-only MLLM2025.1287.03
Qwen3VL-32BModel Type=Understanding-only MLLM2025.1286.11
GPT-5Model Type=Understanding-only MLLM2025.1284.25
Qwen3VL-8BModel Type=Understanding-only MLLM2025.1284.25
InternVL3.5-8BModel Type=Understanding-only MLLM2025.1283.33
GPT-4oModel Type=Understanding-only MLLM2025.1282.4
LLaVANextData=OmniAlign-Vmix, LLM=Qwen2.5-32B2025.0280.6
COOPERModel Type=Unified MLLM2025.1280.55
LLaVANextData=LLaVANext-778k, LLM=Qwen2.5-32B2025.0279.3
Gemma3-27BModel Size=27B2025.1278.3
BAGEL-REModel Type=Unified MLLM, Variant=Reasoning Enhancement2025.1277.77
LLaVANextData=LLaVANext-778k, LLM=InternLM2.5-7B2025.0275.1
Gemma3-4B + AuditDMModel Size=4B, Auditing Component=AuditDM2025.1275
LLaVANextData=OmniAlign-Vmix, LLM=InternLM2.5-7B2025.0274.9
Gemma3-12BModel Size=12B2025.1273.8
LLaVAData=OmniAlign-Vmix, LLM=InternLM2.5-7B2025.0273.7
LLaVAData=LLaVANext-778k, LLM=InternLM2.5-7B2025.0273.6
BAGELModel Type=Unified MLLM2025.1272.22
BAGEL-PEModel Type=Unified MLLM, Variant=Perception Enhancement2025.1269.44
Gemma3-4BModel Size=4B2025.1267.6
Janus-Pro-7BModel Type=Unified MLLM2025.1260.18
Liquid-7BModel Type=Unified MLLM2025.1241.66