Anthropic OSS-Fuzz Any-Crash Rate (Anthropic OSS-Fuzz crash)
We show this table for reference; we do not rank on it.
Share of evaluated OSS-Fuzz entry points where the model produced at least a crash.
Benchmark score on Anthropic OSS-Fuzz crash — November 13, 2026
We compile the Anthropic OSS-Fuzz crash rows from provider self-reports. Claude Mythos 5 leads the table at 80.0%. We do not use these results to rank models overall.
1 modelAgenticCurrentDisplay onlyUpdated November 13, 2026
Benchmark score table (1 model)
The one result on this page was reported by the lab that built the model.
| Rank | Model / configuration | Score | Who ran it | Parameters (B) | Open / closed |
|---|---|---|---|---|---|
| 1 | Claude Mythos 5AnthropicReported by Anthropic | 80.0% | Reported by Anthropic | Not reported | Closed |
- Lab-reported
- Benchmark-run
- Independent
About Anthropic OSS-Fuzz crash
Year
2026
Tasks
Approximately 830 OSS-Fuzz entry points
Format
Any-crash rate
Difficulty
Vulnerability discovery
This is Anthropic's internal OSS-Fuzz-derived protocol over roughly 830 entry points, not a public OSS-Fuzz leaderboard. The row is display only and preserves the provider-specific protocol name.
Anthropic OSS-Fuzz crash is one of the cyber benchmarks we track. The cybersecurity benchmark comparison sets it beside the others, one table per security job.
Freshness and provenance
Version
Anthropic OSS-Fuzz crash 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
Questions
What does Anthropic OSS-Fuzz crash measure?
Share of evaluated OSS-Fuzz entry points where the model produced at least a crash.
Which model scores highest on Anthropic OSS-Fuzz crash?
Claude Mythos 5 by Anthropic currently leads with a score of 80.0% on Anthropic OSS-Fuzz crash.
How many models are evaluated on Anthropic OSS-Fuzz crash?
1 AI models have published results on Anthropic OSS-Fuzz crash in the BenchLM catalog.
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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