PluginEval - Over-Recall: leaderboard
Metric: Over-recall rate (%; share of the 500 adversarial negative queries on which the model wrongly calls a tool; lower is better; 3,000 human-verified Chinese function-calling queries over 54 plugins and 63 tools with real API execution (2,500 positive queries requiring grounded calls, 500 adversarial negatives requiring abstention; easy/medium/hard 0.4/0.4/0.2); GPT-5.2 judge anchored to gold annotations). Source: arxiv.org. Saturation forecast: Around June 2027. 5 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 18.55 |
| 2 | Qwen 3 235B A22B | 24.22 |
| 3 | DeepSeek V4 Pro | 28.91 |
| 4 | Claude Opus 4.6 | 29.1 |
| 5 | GPT-5.4 | 33.2 |
Interactive version: theaggregate.ai/benchmark?slug=plugineval-over-recall · How It Works · Data refreshed daily, snapshot 2026-09-29.