Meta has released a new AI—Muse Spark

Meta Released a New AI — Muse Spark: What It Is and Why Shares Rose 9%

After months of rumors and anticipation, Meta officially unveiled its new AI model called Muse Spark — and the market reacted instantly: the company’s shares jumped more than 9% on the day of the announcement, April 8, 2026.

This isn’t just another update. Muse Spark is a signal that Zuckerberg is serious about competing with OpenAI, Google, and Anthropic. And it looks like he has something to surprise us with.

What Is Muse Spark and Who Created It

Muse Spark is the first product from the new Meta Superintelligence Labs (MSL), led by Alexander Wang. The former founder and CEO of Scale AI joined Meta in June 2025 as part of a $14.3 billion deal.

Development took exactly nine months. During this time, the team completely rewrote Meta’s entire AI stack from scratch — new architecture, new infrastructure, new data pipelines. Muse Spark is what came out of it.

The model is the first in a new Muse series, where each generation will build on the previous one before larger versions are released.

What Muse Spark Can Do — Three Operating Modes

Three modes

The new model supports text, image, and voice queries simultaneously. Responses are text-only for now.

Three Interaction Modes

Instant — for everyday queries. Fast and straightforward.

Thinking — for more complex tasks requiring step-by-step reasoning.

Contemplating — the most powerful mode. Multiple AI agents process the task in parallel and compete for the best answer. It’s in this mode that Muse Spark outperformed GPT-5.4 and Gemini 3.1 Pro on some tests.

Where Muse Spark Is Strongest — Medicine

The most surprising result is in medical benchmarks. On the HealthBench Hard test, Muse Spark scored 42.8 points, leaving competitors far behind:

Model HealthBench Hard
Muse Spark 42.8
GPT-5.4 40.1
Grok 4.2 20.3
Gemini 3.1 Pro 20.6

Meta enlisted over 1,000 doctors to prepare medical training data. This isn’t a random result — it’s a strategic decision.

Where It’s Available and How to Access It

Muse Spark is already live on meta.ai and in the Meta AI app. In the coming weeks, the model will appear in:

  • Facebook
  • Instagram
  • WhatsApp
  • Messenger
  • Ray-Ban Meta smart glasses

For over 3 billion active users of Meta — it’s just an automatic app update. No separate registration required.

The End of Meta’s Open-Source Era

This is probably the most important change that most news outlets are overlooking.

Meta’s previous Llama series models were fully open — they were downloaded over 1.2 billion times. Thousands of developers built products and startups on them.

Muse Spark is a closed commercial model. No open weights. No download option. No community forks. API access is currently limited to select partners only.

Meta promises to “possibly open-source in the future” — but without specific dates or commitments. The developer community is already reacting sharply: the r/LocalLLaMA forum is filled with discontent.

Where Muse Spark Falls Short

Being honest about weaknesses. According to the overall Artificial Analysis Intelligence Index ranking, the picture looks like this:

Model Overall Rating
Gemini 3.1 Pro 57
GPT-5.4 57
Claude Opus 4.6 53
Muse Spark 52

In programming, Muse Spark lags significantly: on Terminal-Bench 2.0 it scored 59 points versus 75.1 for GPT-5.4. On the ARC-AGI-2 test, which checks unconventional thinking — only 42.5 versus 76+ for the leaders.

Meta itself doesn’t hide this — and surprisingly, it adds credibility to the announcement.

What This Means for You

If you use WhatsApp, Instagram, or Facebook — in the coming weeks, the AI in these apps will become significantly smarter automatically. No action required on your part.

If you’re a developer — API access is currently limited, and an open version is uncertain.

If you follow the AI market — Meta is back in the game. And this means the competition between ChatGPT, Claude, Gemini, and now Muse Spark will only get fiercer. Which means models will get better and prices will drop.


Material prepared by the TechVisor team — practical IT media for people. Sources: TechCrunch, CNBC, Artificial Analysis (April 8–9, 2026)

 

 

 

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