CITBench - Base: 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 base tier: one input table under simple 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; Base tier: one input table under simple rules). Source: arxiv.org. Saturation forecast: Estimated already saturated. 12 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3 Flash | 92.26 | #159 |
| 2 | Claude Sonnet 4.5 | 91.35 | #244 |
| 3 | Gemini 3 Pro | 86.39 | #135 |
| 4 | GPT-5.2 | 85.79 | #172 |
| 5 | GLM-4.7 | 85.57 | #365 |
| 6 | GPT-4o | 80.85 | #741 |
| 7 | DeepSeek V3.2 | 77.4 | #403 |
| 8 | Qwen 3 235B A22B | 76.03 | #622 |
| 9 | Qwen 3 Coder Flash | 74.66 | #1624 |
| 10 | Claude Haiku 4.5 | 74.23 | #568 |
| 11 | Qwen 3 32B | 73.22 | #960 |
| 12 | Qwen 3 14B | 69.34 | #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-base · How It Works · Data refreshed daily, snapshot 2026-11-12.