Knowledge · Benchmark profile
A cybersecurity benchmark for evaluating LLM agents on full-control V8 exploit synthesis using 16 measured exploit capability flags.
Data verified 21 Jul 2026 · Methodology 1.6.0
Benchmark score on ExploitBench v8-bench
GPT-5.6 Sol leads at 73.5%, followed by GPT-5.6 Terra (52.9%) and GPT-5.6 Luna (33.2%).
Visual analysis
Switch between model placement, score distribution and descriptive provider averages. Every view uses the same sourced leaderboard.
3 ranked models · higher is better
| Model | Rank | Provider | Score |
|---|---|---|---|
| GPT-5.6 Sol | #1 | OpenAI | 73.5% |
| GPT-5.6 Terra | #2 | OpenAI | 52.9% |
| GPT-5.6 Luna | #3 | OpenAI | 33.2% |
One best score per model · higher is better
| Rank | Model | Provider | License | Evidence use | Score |
|---|---|---|---|---|---|
| #1 | GPT-5.6 Sol gpt-5.6-sol | OpenAI | closed | Reference only | 73.5% |
| #2 | GPT-5.6 Terra gpt-5.6-terra | OpenAI | closed | Estimated reference | 52.9% |
| #3 | GPT-5.6 Luna gpt-5.6-luna | OpenAI | closed | Estimated reference | 33.2% |
The top of this snapshot is led by GPT-5.6 Sol at 73.5%; third place is 40.3 points behind. The top-3 spread is 40.3 points.
About ExploitBench v8-bench
A cybersecurity benchmark for evaluating LLM agents on full-control V8 exploit synthesis using 16 measured exploit capability flags. Results stay tied to the exact model variant and evaluation system. Multiple systems for the same model use the best published score on this page; overall Lumina scoring uses the median of ranking-eligible rows.
Open benchmark source ↗FAQ
A cybersecurity benchmark for evaluating LLM agents on full-control V8 exploit synthesis using 16 measured exploit capability flags.
GPT-5.6 Sol by OpenAI currently leads with 73.5%.
3 models in the LuminaBench cohort have a qualifying score on this benchmark.
No. This benchmark is display-only and does not enter the overall Lumina composite.
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