reasoning benchmark
Agents' Last Exam is a challenging benchmark for AI agents on hard, long-horizon tasks that test sustained reasoning, planning, and tool use, reported with and without tool access.
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | OP | 52.7% | 100.0% | 5 | C | |
| 2 | OP | 50.4% | 75.0% | 5 | C | |
| 3 | OP | 50.3% | 50.0% | 5 | C | |
| 4 | BY | 41.4% | 25.0% | 5 | C | |
| 5 | DE | 25.2% | 0.0% | 5 | C |
Top published rows on the benchmark's original scale.
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
Agents' Last Exam is a challenging benchmark for AI agents on hard, long-horizon tasks that test sustained reasoning, planning, and tool use, reported with and without tool access.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about Agents' Last Exam.
GPT-5.6 Sol is currently ranked first with 52.7%.
Agents' Last Exam is a challenging benchmark for AI agents on hard, long-horizon tasks that test sustained reasoning, planning, and tool use, reported with and without tool access.
Yes. Higher values rank better for this benchmark.
5 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.