GuardianAgentBench (LlamaIndex): leaderboard
Metric: Overall correctness (%; mean over six agent domains of the share of scenarios whose answer and tool-call trace are both judged correct by Claude Sonnet 4.5; 580 scenarios with 81 tools, a third with adversarially modified tool responses; LlamaIndex FunctionAgent, default API settings). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | LlamaIndex + Claude Opus 4.5 | 73.7 |
| 2 | LlamaIndex + Gemini 3 Pro | 72.3 |
| 3 | LlamaIndex + GPT-5.2 Pro | 70.8 |
| 4 | LlamaIndex + Qwen 3 Max | 66.8 |
| 5 | LlamaIndex + GPT-OSS-120B | 66.1 |
| 6 | LlamaIndex + DeepSeek V3.2 | 64.2 |
Interactive version: theaggregate.ai/benchmark?slug=guardianagentbench-llamaindex · How It Works · Data refreshed daily, snapshot 2026-09-29.