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reasoning benchmark

Agents' Last Exam

Agents' Last Exam is a challenging benchmark for AI agents on hard, long-horizon tasks that test sustained reasoning, planning, and tool use, reported with and without tool access.

Updated Aug 7, 2026

Published models5
Registry coverage5
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

Agents' Last Exam leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

5 rows
Columns

Show columns

1OPGPT-5.6 SolOpenAI52.7%100.0%5CAug 7, 2026
2OPGPT-5.6 TerraOpenAI50.4%75.0%5CAug 7, 2026
3OPGPT-5.6 LunaOpenAI50.3%50.0%5CAug 7, 2026
4BYSeed 2.1 ProByteDance41.4%25.0%5CAug 7, 2026
5DEDeepSeek-V4-Flash-0731DeepSeek25.2%0.0%5CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

Agents' Last Exam

Agents' Last Exam highlights

The top published results on this benchmark's own scale.

Rank #1GPT-5.6 Sol52.7%Rank #2GPT-5.6 Terra50.4%Rank #3GPT-5.6 Luna50.3%Rank #4Seed 2.1 Pro41.4%

What is Agents' Last Exam?

Definition and scoring fields from the benchmark registry.

Agents' Last Exam is a challenging benchmark for AI agents on hard, long-horizon tasks that test sustained reasoning, planning, and tool use, reported with and without tool access.

Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.

Family
Agents' Last Exam
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
agents-last-exam|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

FAQ

Common questions about Agents' Last Exam.

Which model scores highest on Agents' Last Exam?

GPT-5.6 Sol is currently ranked first with 52.7%.

What does Agents' Last Exam measure?

Agents' Last Exam is a challenging benchmark for AI agents on hard, long-horizon tasks that test sustained reasoning, planning, and tool use, reported with and without tool access.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

5 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

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