CITBench - Complex-Rule: leaderboard

CITBench (2026) evaluates LLMs on tabular data processing tasks of matching, cleaning, augmentation and transformation. Scored in the offline single-turn setting as average performance: the mean Level-Accuracy over repeated runs, with partial credit, in percent; higher is better. This board covers the complex-rule tier: one input table under tightly dependent rules.

Metric: Average performance (%; mean Level-Accuracy with partial credit, each of repeated runs scored 0 to 1, on the offline single-turn tabular data processing tasks of CITBench, a balanced 50% slice of its 1,296 instances in 18 matching, cleaning, augmentation and transformation task types; temperature 1.0, 8,192 output tokens; Complex-Rule tier: one input table under tightly dependent rules). Source: arxiv.org. Saturation forecast: Around February 2027. 12 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.583.96#244
2Gemini 3 Flash81.18#159
3GLM-4.779.89#365
4Gemini 3 Pro74.11#135
5GPT-5.266.42#172
6GPT-4o65.99#741
7Qwen 3 Coder Flash65.91#1624
8Qwen 3 235B A22B65.75#622
9DeepSeek V3.265.34#403
10Claude Haiku 4.560.56#568
11Qwen 3 32B58.46#960
12Qwen 3 14B53.14#1235

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=citbench-complex-rule · How It Works · Data refreshed daily, snapshot 2026-11-12.