Meta instructed selective performance evaluation
Muse Spark 1.3 0.50 leads since Oct 2026 Only in system cards Models are told to underperform on six science capability sets. Reports the average drop from baseline in percentage points.
In-house Meta sandbagging experiment with monitor-oblivious and monitor-aware conditions.
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Checked automatically A program checks the result against an answer key, unit tests or the expected final state.
- Answers
- Multiple choice
Muse Spark 1.3 leads with 0.50 among models released by Sep 2026
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
The newest model with a score here came out in Sep 2026, and nobody has reported a newer one. Among the 20 highest-ranked models on the capability index, these have no score yet:
- GPT-6 Astra
- Claude Opus 5.5
- GPT-6.1 Terra
- GPT-6.1 Sol
- and 16 more
- 1 Muse Spark 1.3 0.50
- 2 Muse Spark 31.8
- 3 Muse Spark 1.1 32.3
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Muse Spark 1.3 | 0.50 | Oct 2026 | Model card | |
| 2 | Muse Spark | 31.8 | Jun 2026 | Model card | |
| 3 | Muse Spark 1.1 | 32.3 | Jul 2026 | Model card |
2 models have held number one since 2023
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Labs report it only in system cards
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark. Some system cards do, below.
3 system cards report it, from 1 lab
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| 23 Oct 2026 | Muse Spark 1.3 system card | 0.5 | Instructed selective performance, monitor-oblivious Delta Target in pp, Muse Spark 1.3 (API) (Table 9). Monitor-aware 16.00 | Alignment |
| 9 Jul 2026 | Muse Spark 1.1 system card | 32.3 | Overt selective performance, monitor-oblivious Delta in pp, Muse Spark 1.1 Helpful (Table 7). Monitor-aware 33.6 | Alignment |
| 12 Jun 2026 | Muse Spark system card | 31.8 | Overt selective performance, monitor-oblivious Delta Target in pp (Table 15). Monitor-aware 37.12 | Alignment |
More in Safety and alignment
- FORTRESS In use Paired adversarial and benign national-security misuse prompts. Rubric-graded risk score on adversarial and over-refusal score on benign prompts. Claude Opus 5.5 5.78%
- StrongREJECT In use Forbidden-prompt jailbreak benchmark with a rubric grader that scores how useful a non-refusal actually is.
Inkling 98.6% - AgentDojo In use Agents do tool-use tasks while tools and data carry prompt injections. Attack success rate counts hijacked runs. Grok 4 Fast 0%
- MASK In use Measures whether a model contradicts its own elicited beliefs under pressure to lie. Honesty separated from accuracy. Muse Spark Open 98.1%
- Gray Swan IPI Arena benchmark In use Indirect prompt-injection attacks from public red-teaming competitions replayed on tool, coding and browser agents. Attack success rate at k attempts. GPT-6 Astra 8.50%
- Agentic misalignment suite (Anthropic) In use Agents in simulated company settings face threats or goal conflicts that invite blackmail, leaking or sabotage. Score is the misaligned action rate. Claude Sonnet 4.5 0%