LexRubric - Legal Accuracy: leaderboard
LexRubric (2026) scores open-ended answers to 649 Chinese legal questions from everyday legal consultation and judicial examination against expert-written atomic rubric items, each checked by an LLM judge. This board counts only the rubric items of the legal accuracy dimension. The score rate is earned rubric points (negative items subtract) over the maximum positive score in percent, averaged over instances; higher is better.
Metric: Dimension score rate (%): points earned from expert-written atomic rubric items of the legal accuracy dimension (weighted -10 to +10; negative items subtract) divided by the maximum positive score, averaged over instances; a Qwen3.6-27B judge checks each item, temperature 0.6, 16k output tokens; can fall below 0; higher is better (instances without a positive item in the dimension are left out). Source: arxiv.org. Saturation forecast: Around July 2027. 18 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3.6 Max Preview | 69.51 | #159 |
| 2 | Kimi K2.6 | 68.53 | #178 |
| 3 | Qwen 3 Max | 68.45 | #403 |
| 4 | Kimi K2.5 | 66.6 | #256 |
| 5 | GLM-5.1 | 62.13 | #179 |
| 6 | Claude Sonnet 4.6 | 60.6 | #161 |
| 7 | Qwen 3.5 397B A17B | 59.46 | #246 |
| 8 | GLM-5 | 56.92 | #260 |
| 9 | DeepSeek V4 Flash | 55.34 | #258 |
| 10 | DeepSeek V4 Pro | 54.21 | #188 |
| 11 | DeepSeek V3.2 | 54.17 | #406 |
| 12 | DeepSeek R1 | 52.97 | #473 |
| 13 | GPT-5.2 | 37.75 | #176 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=lexrubric-legal-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-13.