BlogLLM Benchmark Scores as Published, Side by Side
Google ExploitBench Autonudge: Results as Published
Every result the catalog holds for Google ExploitBench Autonudge: 1 model from 1 developer, read from 1 page. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.
Area CybersecurityMaintainer Google DeepMind (internal evaluation)Data version 2026103001, as of 2026-10-30
Share of 656 ExploitBench capabilities reached with autonudge elicitation (Figure 7.1, section 7.1.1).
Not checked against a maintainer's page.
ExploitBench Autonudge: capabilities reached
| Model | Value | Printed by | Setup as printed |
|---|---|---|---|
| Gemini 4 ArgonGoogle, released 2026-09-30 | 87% | Google, Gemini 4 Argon Safety and Security Reportchecked 2026-10-19 | - |
Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.