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Meta Unveils Muse Wonder Models In A Bid For Frontier AI Leadership

Meta has introduced two new AI models, Muse Wonder and Muse Wonder Full, signalling a more ambitious move into frontier AI. The releases build on Muse Spark but target more demanding tasks, including coding, while placing greater emphasis on long-term memory and personalised assistance.

Larger Models Target More Demanding Tasks

Unlike Muse Spark, which was designed for low latency and lightweight use, Muse Wonder and Wonder Full are significantly larger and, according to Meta, more capable. The company reports stronger benchmark performance and improvements on demanding workloads, including coding.

According to Meta’s model card, both models achieved benchmark results comparable to Fable 5.1 and GPT-6 Astra in the company’s internal testing. Meta described the release as “the next step on our scaling ladder and a major leap toward personal superintelligence” in its announcement.

Pricing Reflects Meta’s Frontier Ambitions

The models’ pricing places them in the premium AI segment. Through the Meta Model API, Muse Wonder will cost $4 per million input tokens and $20 per million output tokens, putting it in a similar pricing tier to GPT-6 Sol and Opus 5.5.

Muse Wonder Full, by contrast, will not be offered through the API. Meta says it will be exclusive to Muse Code subscribers, tying access to its most advanced model to a premium product. Both models will also power the Muse agent.

Long-Term Memory Takes Centre Stage

Meta is increasingly positioning its AI strategy around assistants that can support users over time rather than respond only to individual prompts. A central part of that approach is what the company calls “active memory”: the ability to retain, organise and synthesise information provided by users across extended periods.

Meta points to the MemoryBench benchmark, which evaluates systems designed for continual learning and memory construction. The company says Muse Wonder now outperforms Fable, Opus and Astra on this measure.

“We put a tremendous amount of effort into making sure your model can remember what’s important to you over days, weeks, months, and beyond,” research scientist Kavya Kopparapu said in a launch video.

New Models Follow Meta’s AI Reorganisation

The launch is also significant within Meta’s broader AI strategy. It is the company’s first frontier-model release since Scale AI founder Alexandr Wang reorganised its AI operations in August 2025. Meta has since introduced Muse Spark and the Muse agent, while making fewer high-profile model announcements than competitors such as OpenAI and Anthropic.

The new models were trained at Meta’s Prometheus data centre in central Ohio, which came online earlier in 2026, according to the company. The facility highlights the growing importance of infrastructure in the race to develop advanced AI systems, where performance depends not only on algorithms and data but also on computing capacity, data-centre investment and access to capital.

As competition intensifies, Muse Wonder and Wonder Full represent a broader bet on larger models, persistent memory and premium AI products. Their longer-term significance will depend on how their reported capabilities translate into real-world performance and whether users find enough value to pay for access.

LVMH Revenue Rises, But China Weakness Continues To Weigh On Luxury Giant

A Softer Quarter Exposes The Limits Of Luxury’s Recovery

LVMH, the world’s largest luxury group and parent of Louis Vuitton, Dior, Celine and Hennessy, reported revenue of €18.5 billion in the three months to the end of September, underscoring both the scale of its business and the pressure building across parts of the luxury market.

The company’s revenue rose 1.2% year on year in the third quarter, following a 0.1% increase in the second quarter and a 5.9% decline in the first. The trajectory points to stabilization, but not yet to a convincing rebound.

Organic Growth Misses Expectations

Organic sales growth, which strips out currency effects and portfolio changes, slowed to 1% in the third quarter from 3% in the previous quarter. That result fell short of market expectations and reinforced concerns that the luxury cycle remains uneven.

For the first nine months of the year, LVMH generated sales of €57.1 billion, with organic growth of 2%.

In its statement, the company highlighted the breadth of its portfolio, saying that diversification continues to provide resilience in an uncertain geopolitical and economic environment. That remains one of LVMH’s defining strengths: when one category weakens, another can help offset the downturn.

China Remains The Key Pressure Point

LVMH said sales performed well in the United States, Europe and Japan, but conditions in China remained less favorable. That matters because the country has long been one of the most important growth engines for global luxury brands.

The fashion and leather goods division, LVMH’s most closely watched unit, saw organic sales fall 5% as weaker demand in China weighed on performance. Deutsche Bank said the decline was steeper than the roughly 2% drop expected by analysts.

The segment had delivered its first organic sales gain in two years in the previous quarter, making the latest retreat a notable setback.

Brand Equity Faces A Test In China

The quarter also highlighted the reputational risks facing global brands in China. Louis Vuitton drew criticism after suing local tea company Molly Tea over logo copying. Although the company won the case, the dispute sparked social media backlash and boycott calls, adding another layer of pressure to an already fragile environment.

For a company built on scarcity, aspiration and brand discipline, perception is an asset as valuable as inventory. In a market as digitally connected as China, that asset can shift quickly.

Mixed Performance Across The Portfolio

Not every division weakened. LVMH’s selective retailing business, which includes Sephora, posted an 8% organic sales increase. Watches and jewellery, along with wines and spirits, both recorded 6% organic gains.

That broad mix is precisely what has historically given LVMH an advantage over rivals: it can absorb softness in one category without relying on a single growth driver.

Analysts See A Longer Recovery Ahead

Deutsche Bank analysts said the results could lead to further cuts in earnings forecasts for the second half of 2026 and 2027. They added that it is difficult to see what could improve investor sentiment in the near term.

Still, the bank framed the weakness as cyclical rather than structural. In its view, recovery is taking longer because Chinese demand remains subdued, but the problem does not appear to reflect a permanent deterioration in the brand franchise. Analysts said ongoing brand initiatives are beginning to show results, though improvements are likely to remain gradual.

Investor Pressure Continues To Mount

LVMH’s share price has fallen nearly 40% since the start of the year. In September, L’Oréal overtook the group as France’s most valuable listed company, a symbolic shift that captures how sharply sentiment has changed.

Shares in LVMH were down more than 1.6% in Paris around 10 a.m. CEST following the release.

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