reasoning benchmark
APEX-Agents
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 11, 2026
Models7
Model coverage7
MetricScore
EvidenceB
APEX-Agents Ranking
Higher score ranks better on this benchmark.
| 01 | MA | 37.6% | 100.0% | 7 | C | |
| 02 | BY | 33.8% | 83.3% | 7 | C | |
| 03 | GO | 33.5% | 66.7% | 7 | C | |
| 04 | BY | 29.2% | 50.0% | 7 | C | |
| 05 | MA | 27.9% | 33.3% | 7 | C | |
| 06 | MI | 27.7% | 16.7% | 7 | C | |
| 07 | TE | 25.6% | 0.0% | 7 | C |
APEX-Agents Score Distribution
A closer view of the leading scores on this benchmark.
APEX-Agents Highlights
The leading models and scores on this benchmark.
What is APEX-Agents?
What APEX-Agents measures and how its scores work.
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. This benchmark is not independently verified and has an evidence level of B.
- Family
- APEX-Agents
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- apex-agents|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about APEX-Agents.
Which model scores highest on APEX-Agents?
Kimi K3 is currently ranked first with 37.6%.
What does APEX-Agents measure?
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.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
7 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.