MTRAG-UN (Reference Passages) - LLM Judge: leaderboard

Metric: reference-based LLM-judge score RB_llm (GPT-OSS-120B judge in place of MTRAG's GPT-4o-mini; GPT-OSS-120B is also a subject) (%) with up to the first 10 reference passages supplied, on MTRAG-UN's 666 human-written conversation tasks (unanswerable, underspecified, non-standalone and clarification turns over six corpora); metrics follow MTRAG and are conditioned on answerability with an IDK judge; printed as fractions and shown times 100; higher is better. Source: arxiv.org. Saturation forecast: Not forecast. 13 models tracked.

Top models

#ModelScoreOverall rank
1GPT-OSS-120B76#330
2Qwen 3 30B A3B68#488
3GPT-OSS-20B67#499
4Mistral Large 367#388
5Qwen 3 8B64#667
6Phi-464#701
7DeepSeek V361#312
8Llama 4 Maverick Instruct59#439
9Llama 3.3 70B Instruct58#520
10Granite 4.0 H Small55#657
11DeepSeek R154#245

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=mtrag-un-reference-passages-llm-judge · How It Works · Data refreshed daily, snapshot 2026-10-11.