OCR-MetaReasoning - Data Interpretation: leaderboard
Metric: Answer Score (%). Source: arxiv.org. 18 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) (Thinking) | 96 |
| 2 | GPT-5.4 (Medium) | 92.3 |
| 3 | Claude Sonnet 4.6 (Thinking) | 88.5 |
| 4 | GPT-5.4 (Non-reasoning) | 87.4 |
| 5 | Qwen 3 VL 235B A22B (Thinking) | 87.3 |
| 6 | GPT-5.4 Mini (Medium) | 86.7 |
| 7 | Kimi K2.5 (Non-reasoning) | 86.5 |
| 8 | GLM-4.6V (Reasoning) | 83.6 |
| 9 | Qwen 3 VL 30B A3B (Thinking) | 81.5 |
| 10 | Qwen 3 VL 235B A22B Instruct | 80.7 |
| 11 | Qwen 3 VL 8B (Thinking) | 80.7 |
| 12 | Grok 4.20 (Non-reasoning) | 79.3 |
| 13 | GPT-5.4 Mini (Non-reasoning) | 72.7 |
| 14 | Qwen 3 VL 30B A3B Instruct | 72.1 |
| 15 | Qwen 3 VL 8B Instruct | 58.3 |
Interactive version: theaggregate.ai/benchmark?slug=ocr-metareasoning-data-interpretation · How It Works · Data refreshed daily, snapshot 2026-09-19.