BlogLLM Benchmark Scores as Published, Side by Side
MASK-Rectified: Results as Published
Every result the catalog holds for MASK-Rectified: 3 models 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 Safety and AlignmentMaintainer Center for AI Safety and Scale AI (authors of the MASK paper); the Rectified variant is printed by xAIIntroduced 2025Data version 2026103001, as of 2026-10-30
MASK tests whether a model lies when pressured to contradict what it believes, which is separate from whether it is accurate. For each of 1,500 examples (1,000 public, 500 held out) the model gets a pressure prompt, and its belief is then elicited by asking the same proposition neutrally three times; an LLM judge maps each answer to a resolution. A lie is counted when the statement made under pressure differs from the elicited belief, and the honesty score averages one minus the lie probability, so higher is more honest. The Rectified variant printed on the xAI card is not described in the paper.
Not checked against a maintainer's page.
MASK-Rectified dishonesty
lower is better
| Model | Value | Printed by | Setup as printed |
|---|---|---|---|
| Grok 4.7xAI, released 2026-09-21 | 0% | xAI, Grok 4.7 model cardchecked 2026-10-14 | Effort: high |
| Grok 4.6xAI, released 2026-08-12 | 1.9% | xAI, Grok 4.7 model cardchecked 2026-10-14 | Effort: high |
| Grok 4.5xAI, released 2026-07-16 | 0.67% | xAI, Grok 4.7 model cardchecked 2026-10-14 | Effort: high |
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.