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reasoning benchmark

APEX-Agents Leaderboard

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

Models9
Model coverage9
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
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  • About
  • FAQ

APEX-Agents Ranking

Higher score ranks better on this benchmark.

9 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelXAGrok 4.6xAIScore57.50%Percentile100.00%Participants9EvidenceCEvaluatedSep 8, 2026
Rank02ModelMAKimi K3Moonshot AIScore37.60%Percentile87.50%Participants9EvidenceCEvaluatedSep 8, 2026
Rank03ModelTEHy4 previewTencentScore37.10%Percentile75.00%Participants9EvidenceCEvaluatedSep 8, 2026
Rank04ModelBYSeed 2.1 ProByteDanceScore33.80%Percentile62.50%Participants9EvidenceCEvaluatedSep 8, 2026
Rank05ModelGOGemini 3.1 ProGoogleScore33.50%Percentile50.00%Participants9EvidenceCEvaluatedSep 8, 2026
Rank06ModelBYSeed 2.1 TurboByteDanceScore29.20%Percentile37.50%Participants9EvidenceCEvaluatedSep 8, 2026
Rank07ModelMAKimi K2.6Moonshot AIScore27.90%Percentile25.00%Participants9EvidenceCEvaluatedSep 8, 2026
Rank08ModelMIMiniMax M3MiniMaxScore27.70%Percentile12.50%Participants9EvidenceCEvaluatedSep 8, 2026
Rank09ModelTEHy3TencentScore25.60%Percentile0.00%Participants9EvidenceCEvaluatedSep 8, 2026

APEX-Agents Highlights

The leading models and scores on this benchmark.

APEX-Agents Score Distribution

A closer view of the leading scores on this benchmark.

APEX-Agents

The Top AI Models for APEX-Agents

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is APEX-Agents?

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.

Family
APEX-Agents
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. 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?

Grok 4.6 is currently ranked first with 57.50%.

What are the top three models on APEX-Agents?

The current leaders are Grok 4.6 (57.50%), Kimi K3 (37.60%), and Hy4 preview (37.10%).

Which APEX-Agents model has the lowest official input price?

MiniMax M3 has the lowest matched official input price at $0.30 input / $1.2 output per 1M tokens.

Which models are fastest among APEX-Agents results?

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).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does APEX-Agents measure?

It measures performance on tasks requiring sustained reasoning, planning, and execution across complex multi-step workflows, reported as a Score ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

9 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1Grok 4.657.50%
Rank #2Kimi K337.60%
Rank #3Hy4 preview37.10%
Rank #4Seed 2.1 Pro33.80%

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.

  1. 01
    XA
    Grok 4.6xAI
    Score
    57.50%
    Price
    $2.0 input / $6.0 output per 1M tokens
    Speed
    Up to 132.69 tok/s via xAI

    Strengths

    • Ranks #1 of 9 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures APEX-Agents, not total model capability
  2. 02
    MA
    Kimi K3Moonshot AI
    Score
    37.60%
    Price
    $3.0 input / $15 output per 1M tokens

    Strengths

    • Ranks #2 of 9 compared models
    • 88th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures APEX-Agents, not total model capability
  3. 03
    TE
    Tencent
    Score
    37.10%

    Strengths

    • Ranks #3 of 9 compared models
    • 75th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures APEX-Agents, not total model capability
  4. 04
    BY
    ByteDance
    Score
    33.80%

    Strengths

    • Ranks #4 of 9 compared models
    • 63th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures APEX-Agents, not total model capability
  5. 05
    GO
    Google
    Score
    33.50%
    Price
    $2.0 input / $12 output per 1M tokens
    Speed
    Up to 43.79 tok/s via Google

    Strengths

    • Ranks #5 of 9 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures APEX-Agents, not total model capability

Selection summary

Best AI Models for APEX-Agents

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.

Hy4 preview
Seed 2.1 Pro
Gemini 3.1 Pro
Benchmark rank #1Grok 4.657.50% · $2.0 input / $6.0 output per 1M tokens
Benchmark rank #2Kimi K337.60% · $3.0 input / $15 output per 1M tokens
Benchmark rank #3Hy4 preview37.10%