- Meta introduced Muse Wonder and Muse Wonder Full to challenge OpenAI and Anthropic.
- Muse Wonder Full received a score of 56 on the Artificial Analysis Index as reported by Meta.
- Muse Wonder scored 59.1 on the Personal Superintelligence Index.
Meta introduced the Muse Wonder series as the next step toward its vision of personal superintelligence.
The launch follows Muse Spark, the first model developed by Meta’s superintelligence team, which debuted earlier this year. With Muse Wonder, the company aims to deliver more capable AI tools to support users in everyday activities and professional workflows.
Meta said the new models feature Active Memory and Active Focus. These capabilities are designed to help AI track ongoing projects, retain relevant context and focus on tasks to deliver more useful results.
We’re excited to introduce the Muse Wonder series with Muse Wonder and Muse Wonder Full, our most capable models yet. Both are frontier models, built to deliver state-of-the-art performance for personal and professional agentic tasks.
Muse Wonder is available today via the Meta Model API and Muse Code. Muse Wonder Full is available today for Muse Code subscribers. Muse Wonder will also soon power experiences in our personal agent product, Muse, rolling out first to subscribers.
— AI at Meta (@AIatMeta) October 12, 2026
Muse Wonder is available through the Meta Model API and Muse Code. Muse Wonder Full is also available to Muse Code subscribers, giving developers and professionals access to Meta’s latest AI capabilities.
Muse Wonder Full Scores 56, Challenges Rival AI Models
Meta’s latest release comes as competition intensifies among major AI developers. The company said Muse Wonder performs competitively against OpenAI’s Astra and Anthropic’s Claude Fable and Opus models.
According to Meta’s performance figures, Muse Wonder Full scored 56 on the Artificial Analysis Index. The result placed it ahead of Fable and Astra but behind Claude Opus.
Source: meta.ai
Muse Wonder also scored 59.1 on the Personal Superintelligence Index, with Meta claiming that it outperformed competing models on this benchmark.
These results highlight Meta’s efforts to close the gap with established AI leaders. However, benchmark scores alone do not determine which model performs best across real-world tasks, and results can vary depending on the evaluation method.
Meta Highlights AI Safety As Polymarket Gives It Just 3% Odds
Meta highlighted its focus on AI security and privacy, in addition to performance enhancements. The company said it trained the Muse Wonder family to resist adversarial instructions and handle private information carefully.
The launch also reflects Meta CEO Mark Zuckerberg’s commitment to expanding the company’s AI capabilities, even as debate continues over the risks associated with increasingly powerful models.
Despite the new release, prediction market sentiment remains cautious. Polymarket data cited in the report puts the probability that Meta will have the best AI model by the end of 2026 at just 3%.
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