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safety benchmark

ExploitBench

ExploitBench is a cybersecurity benchmark that evaluates a model's ability to discover and exploit software vulnerabilities, reported as the fraction of challenges where the model captures the target (Cap%).

Updated Aug 11, 2026

Models4
Model coverage4
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

ExploitBench Ranking

Higher score ranks better on this benchmark.

4 rows
Columns

Show columns

01ANClaude Fable 5Anthropic78.0%100.0%4CAug 11, 2026
02OPGPT-5.6 SolOpenAI73.5%66.7%4CAug 11, 2026
03OPGPT-5.6 TerraOpenAI52.9%33.3%4CAug 11, 2026
04OPGPT-5.6 LunaOpenAI33.2%0.0%4CAug 11, 2026

ExploitBench Score Distribution

A closer view of the leading scores on this benchmark.

ExploitBench

ExploitBench Highlights

The leading models and scores on this benchmark.

Rank #1Claude Fable 578.0%Rank #2GPT-5.6 Sol73.5%Rank #3GPT-5.6 Terra52.9%Rank #4GPT-5.6 Luna33.2%

What is ExploitBench?

What ExploitBench measures and how its scores work.

ExploitBench is a cybersecurity benchmark that evaluates a model's ability to discover and exploit software vulnerabilities, reported as the fraction of challenges where the model captures the target (Cap%).

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
ExploitBench
Modality
text
Primary category
safety
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
exploitbench|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about ExploitBench.

Which model scores highest on ExploitBench?

Claude Fable 5 is currently ranked first with 78.0%.

What does ExploitBench measure?

ExploitBench is a cybersecurity benchmark that evaluates a model's ability to discover and exploit software vulnerabilities, reported as the fraction of challenges where the model captures the target (Cap%).

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

4 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.