Meta launched Muse Spark on April 8, its first fully closed AI model, abandoning its open-source Llama strategy. Cue the sound of 1.2 billion downloads crying in their corners.
“Nine months ago, we rebuilt our AI stack from scratch. New infrastructure, new architecture, new data pipelines. This is step one. Bigger models are already in development with plans to open-source future versions.” Because nothing says “trust us” like a vague promise of future openness.
Unlike Llama, Muse Spark’s weights are not publicly accessible. API access is currently by invitation only, targeting select partners. Meta has said it hopes to open-source future versions, framing the current closure as temporary. Because who doesn’t love a good “temporary” forever?
Gartner analyst Arun Chandrasekaran described the move as a “major shift,” saying it signals Meta’s intention to move away from the Llama brand entirely. Because Llama was just a phase, right? Like that time you tried to be a vegan but then bought a burger.
What Muse Spark actually does
The model is natively multimodal, handling text, image, and voice inputs. Its flagship feature is a “Contemplating” mode that runs multiple reasoning agents in parallel before responding, competing directly with Gemini Deep Think and GPT Pro. Because who doesn’t want an AI that overthinks everything?
Meta collaborated with over 1,000 physicians to curate health-related training data, and the model is being marketed as a personal health reasoning tool alongside its general assistant capabilities. Because nothing says “we’re here to help” like a model trained by 1,000 doctors who might have been paid in pizza.
Muse Spark sits below GPT-5.4 and Gemini 3.1 Pro on the Artificial Analysis Intelligence Index, scoring 52 against their 57. Meta has not disclosed the model’s parameter count or architecture details. Because transparency is so 2023.
Why Meta made the switch now
As crypto.news documented, Meta had been signaling a phased approach to its next AI generation, keeping core components proprietary while assessing safety risks. Because nothing says “we’re cautious” like locking down your AI and hoping no one notices.
The switch to a fully closed first release reflects the competitive pressure from OpenAI and Anthropic, both of which have proprietary models generating billions in API revenue that Meta’s open-source approach could not capture. Because obviously, Meta’s open-source model was just a way to get people to use their platforms, and now they’re like, “Hey, let’s monetize this!”
Meta’s 2026 capital expenditure is guided at $115bn to $135bn, nearly double 2025 levels. Meta stock rose more than 9% on launch day, the strongest single-day response to a Meta product announcement in over two years. The developer community that built on Llama is now being asked to wait for a future open-source release with no confirmed timeline. Because nothing says “we value our users” like leaving them in limbo with a “maybe someday” promise.
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2026-05-09 12:06