NitiBench+ - Parametric: leaderboard

NitiBench+ Table 17:500 held-out Thai legal questions; three distinct evidence settings. Bar-standard answer scores 0–10; citation precision/recall/F 1 fractions 0–1. avg@3 for 13 self-hosted bf 16 models; other rows are leaderboard API observations, not replicated avg@3. AppendixC exact checkpoints and reasoning-on controls retained; other API effort unspecified. Same official judging rubric; citations checked against current in-force law. The public live site was 403, resolved via complete native paper table. Metric: Bar-standard score (0–10).

Metric: Bar-standard score (0–10). Source: arxiv.org. Saturation forecast: Around August 2027. 26 models tracked.

Top models

#ModelScoreOverall rank
1Claude Fable 5.17.4#10
2GPT-6.1 Sol6.9#7
3Claude Opus 5.56.25#3
4Gemini 4 Argon6.17#9
5GPT-6.1 Terra5.36#15
6Muse Spark 1.35.28#31
7Claude Sonnet 5.54.79#14
8DeepSeek V4 Flash3.92#155
9DeepSeek V4.1 Flash3.79#37
10Gemma 4 31B (IT) (Thinking)3.66#178 (Gemma 4 31B (IT))
11Claude Haiku 5.53.49#43
12gemma-4-26B-A4B-it (Thinking)3.44
13Qwen 3.8 27B3.18#123
14NVIDIA-Nemotron-3-Super-120B-A12B-BF16 (Thinking)2.05#394 (NVIDIA-Nemotron-3-Super-120B-A12B-BF16)
15Qwen 3 8B1.17#678

No result here: #6 GPT-6 Astra.

Interactive version: theaggregate.ai/benchmark?slug=nitibench-plus-parametric · How It Works · Data refreshed daily, snapshot 2026-11-05.