Right Answer, Wrong Method - Final-Answer Accuracy: leaderboard
Metric: Final-answer accuracy (%). Source: arxiv.org. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 | 48.1 |
| 2 | Kimi K3 | 46.9 |
| 3 | DeepSeek V4 Pro | 45.7 |
| 4 | Qwen 3.7 Max | 45.6 |
| 5 | Gemini 3.1 Pro (Preview) | 44 |
| 6 | Claude Opus 4.7 | 42 |
| 7 | GLM-5.2 | 37.4 |
| 8 | Claude Opus 4.8 | 34 |
| 9 | GPT-5.2 | 19.6 |
| 10 | DeepSeek V3.2 | 15.5 |
| 11 | GPT-4.1 | 10.1 |
Interactive version: theaggregate.ai/benchmark?slug=right-answer-wrong-method-final-answer-accuracy · How It Works · Data refreshed daily, snapshot 2026-09-19.