SciR - Causal Easy: leaderboard
Metric: Accuracy (%) on the 200 easy-tier SciR causal tasks (causal abduction over the Sachs signalling network), rendered as plain natural-language premises (NL); the model reasons with chain-of-thought directly from the task text, temperature 0; answers are checked against the generating formal object; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | DeepSeek R1 | 99.5 |
| 2 | O3 Mini | 98 |
| 3 | Qwen 3 30B A3B 2507 Instruct | 75.5 |
| 4 | GPT-4o | 50.5 |
| 5 | Llama 3.3 70B Instruct | 40 |
| 6 | Olmo 3.1 32B Instruct | 5.5 |
Interactive version: theaggregate.ai/benchmark?slug=scir-causal-easy · How It Works · Data refreshed daily, snapshot 2026-09-29.