MixRea - Explicit Information Accuracy: leaderboard
Metric: Explicit information accuracy (EIA, %): share of questions on which the selected option reasons correctly with the explicit information in the hypothetical question, on the 2,246 MixRea four-option explicit-implicit reasoning questions over 673 story contexts from the Possible Stories dataset, read from which of the designed options the model selects; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 21 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 2.5 Flash | 92.5 |
| 2 | DeepSeek V3 | 92.5 |
| 3 | DeepSeek R1 | 92.4 |
| 4 | Claude 3.7 Sonnet | 92.1 |
| 5 | Qwen 2.5 32B | 91.7 |
| 6 | Qwen 2 72B | 91.6 |
| 7 | Qwen Max | 91.6 |
| 8 | GPT-4o | 91.5 |
| 9 | Gemini 2.5 Pro | 91.4 |
| 10 | Llama 3.1 405B | 91.1 |
| 11 | Llama 3.1 70B | 90.5 |
| 12 | Llama 3 70B | 90.3 |
| 13 | Qwen 2.5 72B | 87.9 |
| 14 | Gemma 3 27B | 87.6 |
| 15 | Gemma 2 27B | 87.2 |
Interactive version: theaggregate.ai/benchmark?slug=mixrea-explicit-information-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-07.