ReactBench (Hallucination): leaderboard
Metric: React-Score (%): question-type-weighted accuracy (short answer 0.5, multiple choice and yes/no 0.25 each), averaged over standard and chain-of-thought prompting (thinking-only models: chain-of-thought) and weighted over the four tasks (0.3, 0.2, 0.2, 0.3), hallucination-inducing questions (multiple choice, short answer, yes/no) about images edited by Qwen-Image-Edit-2511; an incorrect answer counts as a hallucination; temperature 0.2, at most 1,024 tokens, LLM answer matching; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Qwen 3 VL 32B (Thinking) | 65.3 |
| 2 | Qwen 3 VL 32B Instruct | 61.9 |
| 3 | Qwen 3.5 27B | 59.5 |
| 4 | InternVL3-8B | 56.5 |
| 5 | Qwen 2.5 VL 72B Instruct | 54.2 |
| 6 | Qwen 3.5 9B | 52.4 |
| 7 | Qwen 2.5 VL 7B Instruct | 49.5 |
Interactive version: theaggregate.ai/benchmark?slug=reactbench-hallucination · How It Works · Data refreshed daily, snapshot 2026-10-07.