OCR-MetaReasoning - Meta-Inductive: leaderboard
Metric: Answer Score (%). Source: arxiv.org. 18 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) (Thinking) | 93.1 |
| 2 | GPT-5.4 (Medium) | 91.5 |
| 3 | Qwen 3 VL 235B A22B (Thinking) | 87.8 |
| 4 | Claude Sonnet 4.6 (Thinking) | 87.6 |
| 5 | GPT-5.4 Mini (Medium) | 87.2 |
| 6 | GPT-5.4 (Non-reasoning) | 85.7 |
| 7 | Kimi K2.5 (Non-reasoning) | 84.6 |
| 8 | Qwen 3 VL 30B A3B (Thinking) | 81.8 |
| 9 | Qwen 3 VL 235B A22B Instruct | 80.9 |
| 10 | Qwen 3 VL 8B (Thinking) | 79.5 |
| 11 | GLM-4.6V (Reasoning) | 79.2 |
| 12 | Grok 4.20 (Non-reasoning) | 77.4 |
| 13 | GPT-5.4 Mini (Non-reasoning) | 75.3 |
| 14 | Qwen 3 VL 30B A3B Instruct | 67.9 |
| 15 | Qwen 3 VL 8B Instruct | 60.5 |
Interactive version: theaggregate.ai/benchmark?slug=ocr-metareasoning-meta-inductive · How It Works · Data refreshed daily, snapshot 2026-09-19.