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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

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

APEX-Agents Ranking

Higher score ranks better on this benchmark.

7 rows
Columns

Show columns

1MAKimi K3Moonshot AI37.6%100.0%7CAug 11, 2026
2BYSeed 2.1 ProByteDance33.8%83.3%7CAug 11, 2026
3GOGemini 3.1 ProGoogle33.5%66.7%7CAug 11, 2026
4BYSeed 2.1 TurboByteDance29.2%50.0%7CAug 11, 2026
5MAKimi K2.6Moonshot AI27.9%33.3%7CAug 11, 2026
6MIMiniMax M3MiniMax27.7%16.7%7CAug 11, 2026
7TEHy3Tencent25.6%0.0%7CAug 11, 2026

APEX-Agents Score Distribution

A closer view of the leading scores on this benchmark.

APEX-Agents

APEX-Agents Highlights

The leading models and scores on this benchmark.

Rank #1Kimi K337.6%Rank #2Seed 2.1 Pro33.8%Rank #3Gemini 3.1 Pro33.5%Rank #4Seed 2.1 Turbo29.2%

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.

Rankings

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Modalities

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