DrBencher - Entity Identification: leaderboard
Metric: Entity identification accuracy (%): share of questions whose target entity the model identifies, judged by gpt-oss-120b, on the 268 human-validated DrBencher questions (closed-book, default API temperature, mean of three runs, 2% relative tolerance and exact match for history); higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.6 | 86.1 |
| 2 | GPT-5.2 | 82.1 |
| 3 | Gemini 2.5 Flash | 77.4 |
| 4 | Llama 4 Maverick | 75.5 |
| 5 | Mistral Small 3.2 | 70.6 |
| 6 | Qwen 3 30B A3B (Thinking) | 62.8 |
Interactive version: theaggregate.ai/benchmark?slug=drbencher-entity-identification · How It Works · Data refreshed daily, snapshot 2026-10-07.