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 11, 2026
Higher score ranks better on this benchmark.
| 01 | OP | 52.7% | 100.0% | 5 | C | |
| 02 | OP | 50.4% | 75.0% | 5 | C | |
| 03 | OP | 50.3% | 50.0% | 5 | C | |
| 04 | BY | 41.4% | 25.0% | 5 | C | |
| 05 | DE | 25.2% | 0.0% | 5 | C |
A closer view of the leading scores on this benchmark.
The leading models and scores on this benchmark.
What Agents' Last Exam measures and how its scores work.
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. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
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 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.