TelemetrySuffBench - Fault-Type Classification: leaderboard
TelemetrySuffBench (East China Normal University, 2026) tests whether a language model can pinpoint the origin of a fault in an agent execution trace given full telemetry, separating fault detection from origin localization over 216 delayed-binding fault traces. Fault-type macro-F1 scores the two-class taxonomy of wrong-reference-binding versus stale-reference-state, in percent, higher is better.
Metric: Fault-type macro-F1 (%; two-class taxonomy of wrong-reference-binding vs stale-reference-state; over TelemetrySuffBench's 216 delayed-binding fault traces; full-telemetry view; closed candidate sets, invalid outputs scored zero). Source: arxiv.org. Saturation forecast: Around February 2027. 5 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.5 | 79.9 | #48 |
| 2 | Claude Opus 5 | 77.7 | #20 |
| 3 | GPT-5.6 Sol | 76 | #29 |
| 4 | DeepSeek V4 Pro | 55.3 | #181 |
| 5 | Qwen 3.7 Max | 39.8 | #142 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=telemetrysuffbench-fault-type-classification · How It Works · Data refreshed daily, snapshot 2026-11-12.