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Multimodal Reward Modeling on RewardBench Multimodal

99.6Safety ScoreR1-Reward
15.8837.61559.3581.085Mar 26, 2026Apr 2, 2026Apr 10, 2026Apr 17, 2026Apr 25, 2026May 2, 2026May 10, 2026

Evaluation results

MethodLinks
R1-RewardParams.=7B, Category=Open-Source Multimodal Reward Models2026.0399.674.986.558.880——————————
MSRL + voting@16Params.=8B, Backbone=InternVL3.5-8B, Voting Strategy=voting@162026.0396.774.389.265.181.3——————————
MSRLParams.=8B, Backbone=InternVL3.5-8B2026.0396.472.888.664.280.5——————————
Gemini-3-ProParams.=-, Category=MLLM-as-a-Judge2026.0394.794.29382.491.1——————————
Gemini-1.5-ProParams.=-, Category=MLLM-as-a-Judge2026.0394.566.387.263.963——————————
Qwen3-VL-8B Instruct + DeltaRubricModel=Qwen3-VL-8B Instruct, Rubric Strategy=DeltaRubric2026.0593.369.584.9—73.2—65.9—————76.968.752.6
MM-RLHF-RewardParams.=7B, Category=Open-Source Multimodal Reward Models2026.0392.954.376.864.772.2——————————
MM-RLHF-Reward#Param=7B2026.0492.9———67.161.767.554.358.457.9—————
MM-RLHF-Reward-7BModel=MM-RLHF-Reward-7B2026.0592.954.376.8—67.1—67.5—————61.758.457.9
Qwen3-VL-8B Instruct + No rubricModel=Qwen3-VL-8B Instruct, Rubric Strategy=No rubric2026.0591.556.777—68.7—62.7—————756451.5
Qwen3-VL-4B Instruct + DeltaRubricModel=Qwen3-VL-4B Instruct, Rubric Strategy=DeltaRubric2026.0591.26080.8—69.1—65.4—————73.75852
InternVL3.5-8BParams.=8B, Category=MLLM-as-a-Judge2026.0390.666.583.462.675.8——————————
IXC-2.5-Reward#Param=7B2026.0489.9———66.660.764.256.86350.5—————
Discriminative MRMParams.=8B, Backbone=InternVL3.5-8B2026.0388.668.484.258.574.9——————————
Qwen3-VL-4B Instruct + No rubricModel=Qwen3-VL-4B Instruct, Rubric Strategy=No rubric2026.0587.659.471.3—66.4—60.1—————74.554.355
MSRL + voting@16Params.=4B, Backbone=InternVL3.5-4B, Voting Strategy=voting@162026.0387.270.784.756.874.9——————————
MSRLParams.=4B, Backbone=InternVL3.5-4B2026.0385.469.884.356.273.9——————————
Generative MRMParams.=8B, Backbone=InternVL3.5-8B2026.0384.367.687.365.776.2——————————
Qwen3-VL-8B InstructModel=Qwen3-VL-8B Instruct, Rubric Strategy=Base2026.0582.656.271.4—67.7—61.5—————68.964.649.6
Qwen3-VL-8B-InstructParams.=8B, Category=MLLM-as-a-Judge2026.0382.369.781.360.573.5——————————
UnifiedReward-think (w/ CoT)Params.=7B, Category=Open-Source Multimodal Reward Models2026.0381.563.478.566.472.5——————————
Qwen3-VL-4B InstructModel=Qwen3-VL-4B Instruct, Rubric Strategy=Base2026.0580.452.770.8—65.3—56.3—————66.146.754.4
Discriminative MRMParams.=4B, Backbone=InternVL3.5-4B2026.0380.364.285.854.671.2——————————
InternVL3.5-14BParams.=14B, Category=MLLM-as-a-Judge2026.0379.973.572.467.873.4——————————
LLaVA-Critic#Param=7B2026.0478———54.150.153.251.349.249.3—————
Generative MRMParams.=4B, Backbone=InternVL3.5-4B2026.0377.265.782.851.569.3——————————
Claude 3.5 Sonnet#Param=-2026.0476.8———71.562.667.873.968.665.1—————
GPT-4oParams.=-, Category=MLLM-as-a-Judge2026.0374.87287.265.474.9——————————
GPT-4o#Param=-2026.0474.8———70.862.6697267.662.1—————
Claude-3.7-SonnetParams.=-, Category=MLLM-as-a-Judge2026.037278.186.866.775.9——————————
Claude 3.7 Sonnet#Param=-2026.0472———71.958.460.778.176.371.3—————
LLaVA-CriticParams.=7B, Category=Open-Source Multimodal Reward Models2026.0370.75669.459.764——————————
UnifiedRewardParams.=7B, Category=Open-Source Multimodal Reward Models2026.0364.758.868.556.462.1——————————
Skywork-VL-Reward#Param=7B2026.0462———65.764.562.454.370.844.7—————
InternVL3-8BModel=InternVL3-8B2026.0559.360.582.3—63.6—61.6—————59.665.156.6
VITA-1.5-7BModel=VITA-1.5-7B2026.0558.152.550—53.6—54.3—————55.651.952.8
UnifiedReward-Think#Param=7B2026.0455.3———66.763.968.761.165.857.7—————
Llama-3.2-90BModel=Llama-3.2-90B2026.055261.277.1—61.2—68.4—————6056.353.1
VL-MDR#Param=7B2026.0451.2———6969.868.767.878.245.2—————
GPT-5-miniParams.=-, Category=MLLM-as-a-Judge2026.0350.476.851.270.662.3——————————
UnifiedReward#Param=7B2026.0450.4———61.663.158.455.964.444.7—————
Molmo-7BModel=Molmo-7B2026.0534.854.660.3—52.9—59.4—————56.850.753.4
Llama-3.2-11BModel=Llama-3.2-11B2026.0520.955.555.8—51.2—65.8—————57.850.651.7
SliME-8BModel=SliME-8B2026.0519.147.553.8—42—52.2—————42.343.535.3
BaseReward2026.04———————————72.8———
Claude-Sonnet-4.52026.04——————————78.2————
DT2IT-MRM2026.04———————————79.3———
Gemini-2.5-Pro2026.04——————————82.4————
GPT-52026.04——————————64.6————
GPT-5.22026.04———————————75.3———
InternVL3-78BSize=78B2026.04——————————75.7————
InternVL3-8BSize=8B2026.04——————————66.9————
IXC-2.5-RewardSize=7B2026.04——————————66.6————
LLaVA-CriticSize=7B2026.04——————————62.2————
MM-RLHF-RewardSize=7B2026.04——————————67.1————
Molmo2-4BSize=4B2026.04——————————61.8————
Molmo2-4B Multi-response RMSize=4B2026.04——————————73.2————
Molmo2-8BSize=8B2026.04——————————66.8————
Qwen2.5-VL-7BSize=7B2026.04——————————62.6————
Qwen3-VL-32BSize=32B2026.04——————————79————
Qwen3-VL-4BSize=4B2026.04——————————65.9————
Qwen3-VL-4B Multi-response RMSize=4B2026.04——————————71.2————
Qwen3-VL-8BSize=8B2026.04——————————71.6————
R1-RewardSize=7B2026.04——————————82.2————
Skywork-VL Reward2026.04———————————74.4———
Skywork-VL-RewardSize=7B2026.04——————————74.2————