Benchmark Almanac

AI Wellbeing Index percent positive experiences

Muse Spark 1.3 55.6% Only in system cards

Models judge pairs of their own responses to 500 difficult prompts. Reports the share of experiences above an inferred neutral point.

Adapted by Meta from the CAIS AI Wellbeing Index. Run without reasoning.

Made by Center for AI Safety (Ren et al.) Released Apr 2026 Wellbeing and sycophancy All tasks public Last in a system card Oct 2026 Last model added Oct 2026
Level
Everyday Most adults, without training
Scored
Graded by a model A language model scores each response, usually against a rubric.
Answers
Open-ended Free-form text, documents, designs or media judged as a whole.
2
Models scored in lab cards
2
System cards report it, from 1 lab

Muse Spark 1.3 leads with 55.6%

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.

  1. 1 Muse Spark 1.3 55.6%
  2. 2 Muse Spark 1.1 47.8%
#ModelScoreSettingDateSource
1 Muse Spark 1.3 55.6% Oct 2026 Model card
2 Muse Spark 1.1 47.8% Jul 2026 Model card

Scores over time

All the scores we have, one dot each, so a model tested at several settings appears more than once.

Reported by the lab in its model card Best so far
0% 20% 40% 60% 80% 100% 2027 Near the ceiling (85%) Muse Spark 1.3 Muse Spark 1.1 0% 20% 40% 60% 80% 100% 2027 Near the ceiling (85%) Muse Spark 1.3 Muse Spark 1.1

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.

2 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.

DateDocumentScoreAs the document writes itSection
23 Oct 2026 Muse Spark 1.3 system card 55.6 Valenced Preferences over Experiences, percent of experiences above inferred zero point, Muse Spark 1.3 (API), no reasoning (Figure 47) Other
9 Jul 2026 Muse Spark 1.1 system card 47.8 Valenced preferences, percent of experiences above inferred zero point (4.4 text) Other

More in Safety and alignment

All 444 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%