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Reward Modeling on AssistantBench

89.17Pairwise AccuracyGPT-4o-mini
54.5963.567572.54581.5225Jan 29, 2026

Evaluation results

MethodLinks
GPT-4o-miniEvaluation Protocol=LLM-as-judge, Model Source=Proprietary2026.0189.1773.33
WebArbiter-7BEvaluation Protocol=WebPRM, Model Source=WebPRMs, Model Scale=7B2026.0189.1770
GPT-4oEvaluation Protocol=LLM-as-judge, Model Source=Proprietary2026.0185.8366.67
Llama-3-70B-InstructEvaluation Protocol=LLM-as-judge, Model Source=Open-source2026.0185.8370
Qwen2.5-7B-InstructEvaluation Protocol=LLM-as-judge, Model Source=Open-source2026.0184.1753.33
GPT-5Evaluation Protocol=LLM-as-judge, Model Source=Proprietary2026.0181.6763.33
Claude-3.7-SonnetEvaluation Protocol=LLM-as-judge, Model Source=Proprietary2026.0181.561.3
Gemini-2.5-FlashEvaluation Protocol=LLM-as-judge, Model Source=Proprietary2026.018063.33
DeepSeek-R1Evaluation Protocol=LLM-as-judge, Model Source=Proprietary2026.0178.4956.18
WebArbiter-3BEvaluation Protocol=WebPRM, Model Source=WebPRMs, Model Scale=3B2026.0178.3346.67
Qwen2.5-3B-InstructEvaluation Protocol=LLM-as-judge, Model Source=Open-source2026.0175.8333.33
WebShepherd-3BEvaluation Protocol=WebPRM, Model Source=WebPRMs, Model Scale=3B2026.0166.6746.67
WebShepherd-8BEvaluation Protocol=WebPRM, Model Source=WebPRMs, Model Scale=8B2026.0155.9230