LegalScope - Citation Relevance: leaderboard

LegalScope: 28 model configurations; automatic grading on 861 exam and 276 case prompts, human validation on 80 exam and 10 case prompts with two lawyers. Scores scaled 0-100. August generation logs explicitly distinguish non-thinking and Low/Medium/High settings; unspecified older settings remain unspecified. Later provider defaults do not rewrite the experiment.. Score (%).

Metric: Score (%). Source: raw.githubusercontent.com. Saturation forecast: Around January 2027. 28 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.5 (High)85.6#29 (GPT-5.5)
2GPT-5.5 (Medium)81.7#29 (GPT-5.5)
3GLM-5.3 (Low)79.1#36 (GLM-5.3)
4Grok 4.574#49
5Gemini 3 Flash (Low)74#101 (Gemini 3 Flash)
6Gemini 3 Flash73.8#101
7GPT-5.4 Mini73.6#212
8Gemini 3.5 Flash (Medium)73.3#61 (Gemini 3.5 Flash)
9Kimi K2 (Thinking)72.9#243 (Kimi K2)
10Qwen 3 Max (Thinking)70.7#210 (Qwen 3 Max)
11Qwen 3 Max70.2#210
12DeepSeek V3.269.8#204
13Qwen 3.8 27B (Non-reasoning)68.2#118 (Qwen 3.8 27B)
14DeepSeek R167.5#251
15DeepSeek V4 Pro (Non-reasoning)67.2#106 (DeepSeek V4 Pro)

No result here: #4 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=legalscope-citation-relevance · How It Works · Data refreshed daily, snapshot 2026-10-23.