TableVista - Easy Questions: leaderboard
Metric: Accuracy (%) on the easy questions (fewest reasoning steps) of the 3,000 TableVista questions, Web rendering, direct-output prompt with thinking disabled (reasoning effort none for the GPT models), exact match with a GPT-5-mini semantic-equivalence check on exact-match failures; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 29 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.4 (Non-reasoning) | 93.6 |
| 2 | Qwen 2.5 VL 72B Instruct | 90.2 |
| 3 | Gemma 4 31B (IT) | 88.2 |
| 4 | Qwen 2.5 VL 32B Instruct | 84.5 |
| 5 | Llama 4 Maverick Instruct FP8 | 84.4 |
| 6 | Qwen 3.5 27B (Non-reasoning) | 84.2 |
| 7 | Qwen 3.5 122B A10B (Non-reasoning) | 82.6 |
| 8 | Llama 4 Scout Instruct | 81.8 |
| 9 | Gemma 4 26B A4B (IT) | 79.7 |
| 10 | Qwen 2.5 VL 7B Instruct | 79 |
| 11 | Qwen 3 VL 30B A3B Instruct | 78.9 |
| 12 | Qwen 3 VL 8B Instruct | 76.7 |
| 13 | Gemma 3 27B (IT) | 76.5 |
| 14 | Molmo2-8B | 75.9 |
| 15 | Qwen 3.5 9B (Non-reasoning) | 72.6 |
Interactive version: theaggregate.ai/benchmark?slug=tablevista-easy-questions · How It Works · Data refreshed daily, snapshot 2026-10-07.