Multi-modal Benchmark on MMBench Chinese (dev)
81.1AccuracySAIL-VL2
Evaluation Results
| Method | Links | |
|---|---|---|
| SAIL-VL2Number of Parameters=2.7B2025.12 | 81.1 | |
| HyperVL ViTLNumber of Parameters=2.0B2025.12 | 79.64 | |
| HyperVLNumber of Parameters=1.8B2025.12 | 79.2 | |
| InternVL3Number of Parameters=2.1B2025.12 | 78.4 | |
| AndesVLNumber of Parameters=2.4B2025.12 | 77.8 | |
| Qwen3-VLNumber of Parameters=2.1B2025.12 | 76.28 | |
| Qwen2-VLNumber of Parameters=2.2B2025.12 | 73.5 | |
| Ovis2Number of Parameters=2.5B2025.12 | 72.2 | |
| SAIL-VL1.5Number of Parameters=2.5B2025.12 | 71.7 | |
| Yi-VL-6BLLM=Yi-6B, Visual Encoder=CLIP-H@224, #PT=100M, #FT=26M2024.05 | 68.6 | |
| MiniCPM-V-3BLLM=MiniCPM-SFT-2B, Visual Encoder=SigLIP-SO@384, #PT=300M, #FT=8M2024.05 | 65.3 | |
| LLaVA-1.5-13BLLM=Vicuna-1.5-13B, Visual Encoder=CLIP-L@336, #PT=558K, #FT=665K2024.05 | 61.5 | |
| Imp-2BLLM=Qwen-1.5-1.8B, Visual Encoder=SigLIP-SO@384, #PT=558K, #FT=1M2024.05 | 61.3 | |
| Imp-4BLLM=Phi-3-3.8B, Visual Encoder=SigLIP-SO@384, #PT=558K, #FT=1M2024.05 | 61.1 | |
| LLaVA-1.5-7BLLM=Vicuna-1.5-7B, Visual Encoder=CLIP-L@336, #PT=558K, #FT=665K2024.05 | 58.9 | |
| Bunny-2BLLM=Qwen1.5-1.8B, Visual Encoder=SigLIP-SO@384, #PT=2M, #FT=695K2024.05 | 58.5 | |
| Imp-3BLLM=Phi-2-2.7B, Visual Encoder=SigLIP-SO@384, #PT=558K, #FT=1M2024.05 | 46.7 | |
| InternVL3.5Number of Parameters=2.3B2025.12 | 45.5 |