ReasonTabQA: leaderboard
Metric: Answer Accuracy (%; LLM judge against gold answers, program-aided). Source: arxiv.org. Saturation forecast: Around December 2026. 33 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Pro (Preview) | 67.58 |
| 2 | Claude Opus 4.5 (Thinking) | 66.2 |
| 3 | Claude Sonnet 4 (Thinking) | 62.53 |
| 4 | Kimi K2 | 59.57 |
| 5 | GPT-5.2 (Non-reasoning) | 59.46 |
| 6 | Qwen 3 32B (Thinking) | 58.76 |
| 7 | GPT-4o | 56.9 |
| 8 | DeepSeek R1 | 55.8 |
| 9 | O1 Mini | 55.8 |
| 10 | QwQ-32B | 54.1 |
| 11 | DeepSeek R1 Distill Qwen 32B | 53.64 |
| 12 | Qwen 3 30B A3B (Thinking) | 53.61 |
| 13 | Qwen 3 32B (Non-reasoning) | 53.13 |
| 14 | DeepSeek V3 | 52.15 |
| 15 | Qwen 2.5 72B Instruct | 51.92 |
Interactive version: theaggregate.ai/benchmark?slug=reasontabqa · How It Works · Data refreshed daily, snapshot 2026-09-25.