SDABench - Exploratory: leaderboard
Metric: Accuracy (%) of open-ended answers on the held-out SDA-Synth test split (the 400 exploratory analysis instances; zero-shot, JSON reasoning and answer fields, the answer scored by relative-error numeric, exact or structured matching with a GPT-4o fallback judge); higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 | 53.75 |
| 2 | Claude Sonnet 4.6 | 50.25 |
| 3 | Gemini 3.1 Pro (Preview) | 48.25 |
| 4 | GPT-5.4 Mini | 45.25 |
| 5 | DeepSeek V3.2 | 41.5 |
| 6 | Qwen 3.5 397B A17B | 37 |
| 7 | GLM-5 | 36.5 |
| 8 | DeepSeek R1 | 34.5 |
| 9 | Kimi K2.5 | 29.5 |
| 10 | Qwen 3 235B A22B 2507 Instruct | 27.75 |
| 11 | Llama 3.3 70B Instruct | 11.75 |
| 12 | Llama 3.1 8B Instruct | 8.25 |
Interactive version: theaggregate.ai/benchmark?slug=sdabench-exploratory · How It Works · Data refreshed daily, snapshot 2026-09-29.