StressEval - Table Reasoning Stress: leaderboard
Metric: Exact-match accuracy (%) on the table reasoning-stress split (294 instances seeded from WikiTableQuestions, all evidence in the table) of Dynamic-OneEval (StressEval instances synthesized by GPT-5.2 from its own failure cases on HotpotQA, ComplexWebQuestions and WikiTableQuestions, gated for answerability and consistency), one unified prompt template for every model; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 10 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.5 | 80.9 |
| 2 | Gemini 3 Pro | 75.5 |
| 3 | QwQ-32B | 74.8 |
| 4 | Qwen 2.5 72B | 58.5 |
| 5 | Qwen 3 235B A22B | 54.1 |
| 6 | DeepSeek V3.2 | 50.3 |
| 7 | Seed-1.6 | 47.6 |
| 8 | Llama 3.1 70B | 44.9 |
| 9 | Llama 3.1 8B | 42.2 |
Interactive version: theaggregate.ai/benchmark?slug=stresseval-table-reasoning-stress · How It Works · Data refreshed daily, snapshot 2026-10-07.