reasoning benchmark
APEX-Agents is a benchmark evaluating AI agents on long horizon professional tasks involving sustained reasoning, planning, and execution across complex multi-step workflows.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXA | Score57.50% | Percentile100.00% | Participants9 | EvidenceC | Evaluated |
| Rank02 | ModelMA | Score37.60% | Percentile87.50% | Participants9 | EvidenceC | Evaluated |
| Rank03 | ModelTE | Score37.10% | Percentile75.00% | Participants9 | EvidenceC | Evaluated |
| Rank04 | ModelBY | Score33.80% | Percentile62.50% | Participants9 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score33.50% | Percentile50.00% | Participants9 | EvidenceC | Evaluated |
| Rank06 | ModelBY | Score29.20% | Percentile37.50% | Participants9 | EvidenceC | Evaluated |
| Rank07 | ModelMA | Score27.90% | Percentile25.00% | Participants9 | EvidenceC | Evaluated |
| Rank08 | ModelMI | Score27.70% | Percentile12.50% | Participants9 | EvidenceC | Evaluated |
| Rank09 | ModelTE | Score25.60% | Percentile0.00% | Participants9 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What APEX-Agents measures and how its scores work.
APEX-Agents is a benchmark for evaluating AI agents on long horizon professional tasks.
It measures performance on tasks requiring sustained reasoning, planning, and execution across complex multi-step workflows, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about APEX-Agents.
Grok 4.6 is currently ranked first with 57.50%.
The current leaders are Grok 4.6 (57.50%), Kimi K3 (37.60%), and Hy4 preview (37.10%).
MiniMax M3 has the lowest matched official input price at $0.30 input / $1.2 output per 1M tokens.
The fastest matched records are Grok 4.6 (132.69 tok/s via xAI), Gemini 3.1 Pro (43.79 tok/s via Google), and MiniMax M3 (6.61 tok/s via MiniMax).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures performance on tasks requiring sustained reasoning, planning, and execution across complex multi-step workflows, reported as a Score ratio.
Yes. Higher values rank better for this benchmark.
9 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis apex-agents AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Grok 4.6 currently leads APEX-Agents with 57.50%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.