List your company

Multi-discipline Multimodal Understanding on MMMU (val)

81.7Accuracygemini-2.5-pro-exp-03-25
43.7453.59563.4573.305Mar 27, 2024Jul 31, 2024Dec 4, 2024Apr 10, 2025Aug 14, 2025Dec 18, 2025Apr 24, 2026

Evaluation results

MethodLinks
gemini-2.5-pro-exp-03-252026.0181.7——
AgoraRouting=Pool of 5 baseline VLMs2026.0179.2——
Gemini-2.5-ProModel Category=Proprietary2026.0278.78——
OpenAI-o1Learning Protocol=Closed-source VLM2026.0278.2——
Claude-4-SonnetModel Category=Proprietary2026.0274.44——
Octopus-8B (Ours)Rollout count (rollout.n)=8, Generation Time (Gen.)=344.7, Total training time per step=958.12026.0272.4——
InternVL3-78BScale=78B2026.0172.2——
Guided-GRPOBackbone=Qwen3-8B, Training=G-GRPO+SFT2026.0272.11——
Qwen3-VL-8B-ThinkingLearning Protocol=Open-source Reasoning VLM2026.0271.8——
Qwen3-VL-8B-Instruct + DAPORollout count (rollout.n)=16, Learning Protocol=RLVR2026.0271.4——
InternVL3.5-8B-RLLearning Protocol=Open-source Reasoning VLM2026.0271.2——
Claude-3.7-SonnetLearning Protocol=Closed-source VLM2026.0271——
Qwen3-VL-8B-Instruct + GSPORollout count (rollout.n)=16, Generation Time (Gen.)=688.9, Total training time per step=1322.8, Learning Protocol=RLVR2026.0270.8——
gemini-2.0-flash2026.0170.7——
gpt-4o-2024-08-062026.0170.7——
Qwen3-VL-8B-Instruct + GRPORollout count (rollout.n)=16, Generation Time (Gen.)=679.1, Total training time per step=1428.4, Learning Protocol=RLVR2026.0270.6——
Qwen3-VL-32B-InstructContext Window=32K2026.0370.6——
Qwen3-VL-8B-Instruct + GRPORollout count (rollout.n)=8, Generation Time (Gen.)=364.9, Total training time per step=845.1, Learning Protocol=RLVR2026.0270.4——
qwen2.5vl-72b-instructScale=72B2026.0170.2——
Qwen3-VL-8B-Instruct + SRPORollout count (rollout.n)=16, Generation Time (Gen.)=816.6, Total training time per step=1543.3, Learning Protocol=RLVR2026.0269.7——
Qwen3-VL-8B-Instruct + SRPORollout count (rollout.n)=8, Generation Time (Gen.)=410.9, Total training time per step=895.8, Learning Protocol=RLVR2026.0269.4——
GPT-4oZero-shot=true, Decoding Strategy=greedy2024.0969.2——
GPT-4o2024.0869.1——
GPT-4o2024.1269.1——
GPT-4oLearning Protocol=Closed-source VLM2026.0269.1——
Qwen3-VL-32B-InstructContext Window=4K2026.0368.6——
Qwen3-VL-8B-Instruct + GSPORollout count (rollout.n)=8, Generation Time (Gen.)=361.7, Total training time per step=753.1, Learning Protocol=RLVR2026.0267.4——
GPT-4oModel Category=Proprietary2026.0267.33——
MiMo-VL-7B-RLLearning Protocol=Open-source Reasoning VLM2026.0266.7——
gemma-3-27bScale=27B2026.0164.9——
MiMo-VL-7B-SFTLearning Protocol=Open-source Reasoning VLM2026.0264.6——
Qwen3-VL-8B-InstructContext Window=32K2026.0364.6——
Base (Qwen3-8B)Backbone=Qwen3-8B2026.0262.44——
Gemini-1.5-Pro2024.1262.2——
Qwen3-VL-8B-InstructLearning Protocol=Base VLM2026.0262——
Vision-R1-32BModel Category=Open-Source2026.0261.33——
Qwen2.5-VL-32BModel Category=Open-Source2026.0261——
Qwen3-VL-8B-InstructContext Window=4K2026.0360.7——
Gemini-1.5-ProZero-shot=true, Decoding Strategy=greedy2024.0960.6——
gpt-4o-mini2026.0160——
Gemini Ultra 1.0open-source=false2024.0459.4——
Claude-3 Opusopen-source=false2024.0459.4——
InternVL2.5-26BModel Category=Open-Source2026.0259.33——
qwen2.5vl-7b-instructScale=7B2026.0158.6——
Lumina-DiMOOModel Architecture Style=Diff. Based2026.0358.6——
Gemini Pro 1.5open-source=false2024.0458.5——
MMR1-32BModel Category=Open-Source2026.0257.89——
GPT-4VLLM=Private, Zero-shot=true2024.0356.8——
GPT-4Vopen-source=false2024.0456.8——
LLaVA-OneVision-72BModel Scale=72B2024.0856.8——
GPT-4VVersion=V-Preview2024.0856.8——
GPT-4V2024.1256.8——
VL-Rethinker-7BModel Category=Open-Source2026.0256.67——
Qwen3-VL-4BModel=Qwen3-VL, Parameter Count=4B2026.0455.78——
BAGELModel Architecture Style=AR Based2026.0355.3——
Phi-4-reasoning-vision-15B2026.0354.3——
Qwen2-VL-InstructLLM=Qwen2-7B, Vision Encoder=DFN-CLIP-H2024.1254.1——
Qwen2-VLSize=7B, #token /image tile=Native resolution (unfixed)2024.1254.1——
GPT-4VZero-shot=true, Decoding Strategy=greedy2024.0953.8——
Claude-3 Sonnetopen-source=false2024.0453.1——
LLaVA-v1.5-13BModel Category=Open-Source2026.0253——
Phi-4-reasoning-vision-15BProtocol=force nothink2026.0352——
Kimi-VL-A3B-Instruct2026.0352——
InternVL 1.2#param=40B, open-source=false2024.0451.6——
Qwen-VL-MaxModel Category=Proprietary2026.0251.44——
Qwen-VL-Maxopen-source=false2024.0451.3——
Phi-3-vision-128kModel Category=Open-Source2026.0251.11——
Qwen2.5-VL-3BModel=Qwen2.5-VL, Parameter Count=3B2026.0451.11——
LLaVA-NeXTLLM=Hermes-2-Yi-34B, Resolution=672, Zero-shot=true2024.0351.1——
LLaVA-NeXT#param=35B, open-source=false2024.0451.1——
LLaVA-NeXT-34BModel Scale=30B, Zero-shot=true, Decoding Strategy=greedy2024.0951.1——
PVC InternVL2 (Ours)Size=8B, #token /image tile=642024.1250.9——
InternVL 3.5 2BModel Size=2B2026.0350.51——
SpB2.0-VL-5BModel=SpB2.0-VL, Parameter Count=5B2026.0450.33——
Claude-3 Haikuopen-source=false2024.0450.2——
gemma-3-12b-it2026.0350——
Step-1V#param=100B, open-source=false2024.0449.9——
Cambrian-34BModel Scale=30B, Zero-shot=true, Decoding Strategy=greedy2024.0949.7——
InternVL2Size=8B, #token /image tile=2562024.1249.3——
LLaVA-OneVision-7BModel=LLaVA-OneVision, Parameter Count=7B2026.0449——
Show-o2Model Architecture Style=AR Based2026.0348.9——
LLaVA-OneVision-7BModel Scale=7B2024.0848.8——
LLaVA-OVLLM=Qwen2-7B, Vision Encoder=SigLIP-SO400M2024.1248.8——
LLaVA-OVSize=7B, #token /image tile=7292024.1248.8——
Mini-GeminiLLM=Hermes-2-Yi-34B, Resolution=336, Zero-shot=true2024.0348.7——
LLaDA-VModel Architecture Style=Diff. Based2026.0348.6——
Xuanwu VL-2BModel Size=2B2026.0348.11——
Mini-Gemini-HDLLM=Hermes-2-Yi-34B, Resolution=672, Zero-shot=true2024.0348——
Mini-Gemini#param=35B, open-source=false2024.0448——
InternVL2-4BModel=InternVL2, Parameter Count=4B, Result Source=OpenVLM Leaderboard (OpenCompass, 2025)2026.0448——
Gemini ProLLM=Private, Zero-shot=true2024.0347.9——
Gemini Pro 1.0open-source=false2024.0447.9——
MM1.5-30BModel Scale=30B, Zero-shot=true, Decoding Strategy=greedy2024.0947.4——
LLaVA-OV (SI)LLM=Qwen2-7B, Vision Encoder=SigLIP-SO400M2024.1247.3——
Llama-3.2-11BModel Category=Open-Source2026.0246.89——
InternVL 3.0 2BModel Size=2B2026.0345.89——
Qwen-VL-PlusLLM=Private, Zero-shot=true2024.0345.2——
Qwen-VL-Plusopen-source=false2024.0445.2——
InternVL 1.5#param=26B, open-source=false2024.0445.2——
DimpleModel Architecture Style=Diff. Based2026.0345.2——