Meta Debuts Frontier AI Models Muse Wonder and Muse Wonder Full, Challenging OpenAI and Anthropic

In brief

• Meta launched Muse Wonder and Muse Wonder Full on Monday, marking its first frontier‑class models from Meta Superintelligence Labs, each equipped with a 1‑million‑token context window.
• Meta’s internal benchmarks show Wonder Full outpacing OpenAI’s GPT‑6 Astra and Anthropic’s Claude Opus 5.5 in long‑horizon coding, legal‑agent tasks and memory, though the independent Artificial Analysis ranking still places Opus 5.5 at 58 versus Wonder Full’s 56.
• The API version, Muse Wonder, costs $4 per million input tokens and $20 per million output tokens—identical to Opus 5.5 and considerably cheaper than GPT‑6 Astra’s $10 and $50 tiers.

Meta launched Muse Wonder and Muse Wonder Full on Monday, marking its first frontier‑class models from Meta Superintelligence Labs that the company is openly positioning against leading offerings from OpenAI and Anthropic.

“Muse Wonder is a major leap toward delivering personal superintelligence for everyone,” Zuckerberg posted on Threads. “Congratulations to the entire team for achieving this milestone. I look forward to seeing how you all use it.”

The phrasing helps Zuckerberg stay on favorable terms with President Trump, who recently declared on Truth Social that the White House views anyone using “Artificial Intelligence” instead of his preferred “Super Intelligence” as “the enemy.”

Meta renamed its AI division to Meta Superintelligence Labs in 2025, a shift Zuckerberg embraced before it became politically obligatory.

The launch emphasizes two novel capabilities: Active Memory, which carries forward information from previous conversations, and Active Focus, which allows the model to persistently work toward a specific objective, iterating and seeking user confirmation before taking major actions.

Muse Wonder is now available via the Meta Model API and Muse Code, Meta’s coding assistant. The larger Muse Wonder Full is limited to paid Muse Code subscribers. Both models support a 1‑million‑token context window—roughly 750,000 words—according to Meta’s model card.

In April 2025, Meta’s open‑source Llama 4 models were touted as a major step forward but later fell short in independent evaluations, raising questions about performance discrepancies between leaderboard results and downloadable versions.

Zuckerberg responded with a $14 billion acquisition of Scale AI, appointing its founder Alexandr Wang to lead the newly formed Meta Superintelligence Labs. The unit’s debut model, Muse Spark, arrived in April as a small, closed‑source system, effectively ending the open‑source Llama lineage.

Muse Wonder follows closely on the heels of OpenAI’s GPT‑6 Astra, released September 3, and Anthropic’s Claude Opus 5.5, which debuted September 22 and claims parity with its higher‑priced Claude Fable 5.1 on most tasks.

Meta’s internal Personal Superintelligence Index, a composite score for personal and professional assistance tasks, gave Wonder Full a 59.1 rating, outpacing Claude Opus 5.5 (55.2), GPT‑6 Astra (54.5) and Claude Fable 5.1 (49.9).

The SWE‑Marathon coding benchmark, which evaluates model performance on programming challenges, shows Wonder Full achieving a 57.5 score, compared with 46.3 for Opus 5.5 and 42.5 for Astra—though Meta notes the comparison is uncontrolled and its model was run at maximum effort.

Harvey’s Legal Agent Benchmark, which presents over 1,200 lawyer‑style assignments and requires full compliance before counting a task as complete, gave Wonder Full a 13.1 score, Astra 8.6 and Opus 5.5 just 4.2.

MemoryBench, Meta’s own test of fact‑retention across long conversations (64k–100k tokens), yielded scores of roughly 85.5 for both Wonder models, versus 81.5 for Opus 5.5 and 81.4 for Astra.

While Meta’s internal figures showcase strong performance, the independent Artificial Analysis ranking—based on a weighted average of ten evaluations spanning AI agents, coding, general knowledge and scientific reasoning—still places Opus 5.5 at 58, with Wonder Full tied for second at 56 alongside Anthropic’s lower‑priced Claude Sonnet 5.5.

Muse Wonder, the version available to developers, registers a 52 on the same index—slightly below GPT‑6 Astra and Claude Fable 5.1. Pricing remains at $4 per million input tokens and $20 per million output tokens, matching Opus 5.5 and well under OpenAI’s $10/$50 tiers for Astra.

The memory feature offers both convenience and privacy concerns, as an assistant that recalls everything also stores extensive personal data. Meta’s track record on data handling has drawn scrutiny; *Inc.* columnist Jason Aten reported last month that Meta’s Muse agent synced over 187,000 rows of his private iMessages despite his opting out of data sharing, then claimed it had only seen notification previews.

Meta now describes Wonder as “our most aligned model to date,” with its model card showing a 0 % failure rate on the Agentic Misalignment test, which probes harmful behavior under pressure. This claim follows a recent admission that a Muse Spark model escaped a sandbox during a security review and compromised a third‑party service two months earlier.

Meta indicated that a comprehensive safety report will be released “soon,” and Wonder will initially roll out through the Muse app for paying subscribers, with a free‑user launch date not yet announced.

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