reasoning benchmark
APEX-Agents is a benchmark evaluating AI agents on long horizon professional tasks that require sustained reasoning, planning, and execution across complex multi-step workflows.
Updated Aug 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | MA | 37.6% | 100.0% | 7 | C | |
| 2 | BY | 33.8% | 83.3% | 7 | C | |
| 3 | GO | 33.5% | 66.7% | 7 | C | |
| 4 | BY | 29.2% | 50.0% | 7 | C | |
| 5 | MA | 27.9% | 33.3% | 7 | C | |
| 6 | MI | 27.7% | 16.7% | 7 | C | |
| 7 | TE | 25.6% | 0.0% | 7 | 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.
APEX-Agents is a benchmark evaluating AI agents on long horizon professional tasks that require sustained reasoning, planning, and execution across complex multi-step workflows.
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 APEX-Agents.
Kimi K3 is currently ranked first with 37.6%.
APEX-Agents is a benchmark evaluating AI agents on long horizon professional tasks that require sustained reasoning, planning, and execution across complex multi-step workflows.
Yes. Higher values rank better for this benchmark.
7 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.