Meta Platforms Finally Releases Muse Spark. Is the AI Model Worth the Wait?

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By Rich Duprey Published

Quick Read

  • Meta Platforms (META) released Muse Spark, its first major AI model in over a year, scoring 52 on the Intelligence Index and delivering multimodal reasoning capabilities for health tasks and consumer applications across WhatsApp, Instagram, Facebook, Messenger, and AI glasses; the stock surged nearly 10% over five trading days following the announcement. Alphabet (GOOGL) trades at 23x P/E while Microsoft (MSFT) carries 19.6x, compared to Meta’s 18x multiple on $201B in 2025 revenue (+22% YoY) and trailing 12-month earnings of $23.98 per share.

  • Meta’s decision to delay Muse Spark from its March timeline until May allowed the company to narrow the competitive gap with Gemini 3.1 Pro and GPT-5.4 rather than releasing an underperforming model, validating patience over speed in the AI arms race where rivals like OpenAI, Anthropic, and Google DeepMind continue advancing.

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Meta Platforms Finally Releases Muse Spark. Is the AI Model Worth the Wait?

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The AI arms race among Big Tech shows no signs of slowing. Companies continue to pour tens of billions of dollars into data centers, talent, and compute power, all chasing the next leap in reasoning, multimodality, and real-world usefulness. For everyday investors watching their portfolios, the stakes feel personal: Will this massive spending deliver revenue growth fast enough to justify sky-high valuations, or will delays and missed benchmarks erode confidence? 

Meta Platforms (NASDAQ:META | META Price Prediction) just provided a timely data point. Last week, the company released Muse Spark, its first major AI model in more than a year and the debut product from Meta Superintelligence Labs. The market responded immediately, sending Meta’s stock nearly 10% higher across the past five trading days, closing Friday at $629.86 per share.

The Avocado That Needed Extra Time to Ripen

Muse Spark didn’t arrive on its original schedule. Back in March, Meta Platforms delayed the rollout of what was then code-named Avocado after internal tests showed it fell short of rival performance levels. The company needed more time to compete head-to-head with models like Google’s Gemini 3.0. Executives pushed the launch back at least until May while the newly restructured AI team rebuilt from the ground up following the disappointing Llama 4 release the prior year.

That delay raised eyebrows. Investors worried that waiting might simply hand more ground to faster-moving competitors at OpenAI, Anthropic, and Google DeepMind. After all, the AI field moves at warp speed — new capabilities appear almost monthly. Yet Meta Platforms chose patience over premature release. The bet appears to have paid off. 

Muse Spark — now powering the Meta AI app and meta.ai website with rollouts planned for WhatsApp, Instagram, Facebook, Messenger, and AI glasses — marks a deliberate shift to a closed-source model designed for “personal superintelligence.”

Closing the Gap — or at Least Narrowing It

So, is Muse Spark strong enough? Independent benchmarks released alongside the launch show a competitive but not dominant performer. It scores 52 on the Intelligence Index, trailing leaders such as Gemini 3.1 Pro and GPT-5.4 (both at 57) and Claude Opus 4.6 (53). Where it shines, however, is in health-related tasks (42.8 on HealthBench Hard) and multimodal reasoning, areas that align neatly with Meta’s consumer-focused ecosystem.

Meta emphasized in a Meta Superintelligence Labs blog post it prioritized efficiency and practical utility over raw benchmark bragging rights. The model supports tool use, visual chain-of-thought, and multi-agent orchestration while remaining “small and fast by design.” Compared with Llama 4, the upgrade feels substantial. 

Granted, it still trails on some abstract reasoning and coding tasks, but the gap has narrowed enough that everyday users on Meta’s platforms will notice smarter, faster responses. For retail investors, the key question isn’t whether Muse Spark beats every rival today — it’s whether it gives Meta Platforms a credible seat at the table while the company monetizes AI through advertising, subscriptions, and API previews.

The Market’s Clear Vote of Confidence

Wall Street wasted no time pricing in the progress. Meta stock jumped 6.5% on announcement day alone, outpacing the S&P 500’s 2.5% gain and Nasdaq’s 2.8% rise. That momentum carried through the week, delivering the nearly 10% five-day return investors just witnessed.

The numbers behind the business remain rock-solid. Meta Platforms generated $201 billion in full-year 2025 revenue, up 22% year-over-year. Trailing 12-month earnings sit at roughly $23.49 per share, supporting a forward P/E around 18. That valuation looks reasonable next to peers still scrambling to prove AI payoffs. Alphabet (NASDAQ:GOOG)(NASDAQ:GOOGL) trades at 23x and faces tougher ad-headwinds; Microsoft (NASDAQ:MSFT) carries a slightly higher multiple of 19.6x on its Azure-AI bet. Meta Platforms’ ad-driven model, now supercharged by smarter AI recommendations, gives it a clear path to sustained growth.

Key Takeaway

Muse Spark was worth the wait. The delay let Meta Platforms deliver a model that narrows the competitive gap without rushing an undercooked product to market. For savvy investors, the 10% stock pop over five trading days signals renewed confidence in Meta Platforms’ AI roadmap. 

That said, the race never ends — rivals will keep advancing. Still, with 22% revenue growth, an attractive P/E, and AI now embedded across 3.98 billion monthly users, Meta Platforms offers retail investors a compelling way to own the AI upside without chasing speculative pure-plays. If you already hold shares, the data supports staying put. If you don’t, this week’s release just made a strong case for adding exposure on any pullback. In short, patience paid off — and the numbers back it up.

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About the Author Rich Duprey →

After two decades of patrolling the dark corners of suburbia as a police officer, Rich Duprey hung up his badge and gun to begin writing full time about stocks and investing. For the past 20 years he’s been cruising the markets looking for companies to lock up as long-term holdings in a portfolio while writing extensively on the broad sectors of consumer goods, technology, and industrials. Because his experience isn’t from the typical financial analyst track, Rich is able to break down complex topics into understandable and useful action points for the average investor. His writings have appeared on The Motley Fool, InvestorPlace, Yahoo! Finance, and Money Morning. He has been interviewed for both U.S. and international publications, including MarketWatch, Financial Times, Forbes, Fast Company, and USA Today.

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