LongJudgeBench (Reference + Rubric): leaderboard
LongJudgeBench (2026) measures how often an LLM judge agrees with human judgments on long-form outputs averaging over 9,000 tokens: deep research reports, scientific surveys, creative writing, long reasoning chains and systematic reviews. This board is judge accuracy in percent averaged over the five datasets that have references, the judge working given both references and rubrics; higher is better.
Metric: Judge accuracy (%) averaged over five datasets (DeepResearch Bench, RealDeepResearch, SurGE structure and content, VerifyBench, MA; WritingPreferenceBench has no references): agreement of the LLM judge's pairwise preferences (from pointwise scores, pairwise choices or listwise ranks) or correctness labels with the human reference judgments, averaged within query groups, temperature 0, judging with both references and rubrics; higher is better. Source: arxiv.org. Saturation forecast: Around September 2028. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | DeepSeek V4 Flash | 64.31 | #258 |
| 2 | Qwen 3 Max | 62.54 | #403 |
| 3 | Qwen 3 32B (Non-reasoning) | 60.81 | #960 (Qwen 3 32B) |
| 4 | GLM-5.1 | 60.32 | #179 |
| 5 | Kimi K2.6 | 59.37 | #178 |
| 6 | GPT-4o Mini | 55.53 | #1623 |
| 7 | Qwen 3 32B (Thinking) | 54.48 | #960 (Qwen 3 32B) |
| 8 | GPT-5.2 | 45.48 | #176 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=longjudgebench-reference-plus-rubric · How It Works · Data refreshed daily, snapshot 2026-11-13.