Multimodal Reward Modeling on RewardBench MM-RLHF benchmark leaderboard · SOTA2 Research

Multimodal Reward Modeling on RewardBench MM-RLHF

95.74MCQ ScoreBaseReward (Qwen2.5-VL)

Evaluation Results

Method	Links
BaseReward (Qwen2.5-VL)2026.04		95.74	97.38	94.13	81.25	88	91.76	80.43
DT2IT-MRM (Qwen2.5-VL)2026.04		95.24	97.3	100	71.88	88	91.18	78.26
DT2IT-MRM (Qwen3-VL)2026.04		90.48	94.6	97.06	78.13	84	89.41	71.74
MM-RLHF-Reward2026.04		83	97	74	69	88	82	63
UnifiedReward-Think*2026.04		73.81	86.49	61.77	59.38	72	71.18	39.13
UnifiedReward*2026.04		69.05	94.6	67.65	84.38	84	79.41	52.17
Claude-3.7-Sonnet2026.04		66.67	91.89	91.18	87.5	76	82.35	65.22
LLaVA-Critic*2026.04		66.67	81.08	64.71	71.88	92	74.12	47.83
GPT-4o (2024-08-06)2026.04		64.28	78.37	44.11	56.25	40	58.23	26.01
Claude-3.5-Sonnet (2024-06-22)2026.04		64.28	67.56	55.88	65.62	60	62.94	26.11
GPT-5.2*2026.04		57.14	91.89	55.88	59.38	80	68.24	41.3
R1-Reward*2026.04		52.38	48.65	47.06	43.75	44	47.65	21.74
IXC-2.5-Reward2026.04		52.38	91.89	67.65	62.5	88	71.18	50
Qwen2-VL-72B-Instruct2026.04		45.23	62.16	47.05	46.88	36	48.23	13.04
Skywork-VL Reward*2026.04		42.86	81.08	73.53	65.63	72	65.88	41.3
NVLM-D2026.04		42.85	32.43	8.82	50	40	34.7	6.52
Omni-RewardModel-BT*2026.04		40.48	78.38	70.59	46.88	76	61.18	39.13
InternVL3-8B2026.04		35.71	56.76	23.53	37.5	32	37.65	6.52
Gemini-2.0-Flash-Exp2026.04		33.33	45.94	67.64	43.75	32	44.71	13.04
Llama-3.2-90B2026.04		19.04	35.13	38.23	50	40	35.29	10.86