ReasonTabQA - English: 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) | 68.44 |
| 2 | Claude Opus 4.5 (Thinking) | 66.84 |
| 3 | GPT-5.2 (Non-reasoning) | 61.29 |
| 4 | Claude Sonnet 4 (Thinking) | 60 |
| 5 | Qwen 3 32B (Thinking) | 56.77 |
| 6 | QwQ-32B | 55.48 |
| 7 | DeepSeek R1 | 55.11 |
| 8 | DeepSeek R1 Distill Qwen 32B | 54.84 |
| 9 | DeepSeek V3 | 54.81 |
| 10 | GPT-4o | 54.25 |
| 11 | Kimi K2 | 54.19 |
| 12 | Qwen 2.5 72B Instruct | 53.55 |
| 13 | Qwen 3 30B A3B (Thinking) | 52 |
| 14 | Qwen 3 32B (Non-reasoning) | 49.03 |
| 15 | O1 Mini | 47.74 |
Interactive version: theaggregate.ai/benchmark?slug=reasontabqa-english · How It Works · Data refreshed daily, snapshot 2026-09-25.