On April 8, 2026, Meta launched Muse Spark, the first model from its newly established Meta Superintelligence Labs (MSL). Spearheaded by Alexandr Wang, the model marks a major shift for Meta as it moves away from its traditional open-source strategy to a closed model approach for this series.
Core Features and Capabilities of Muse
Muse Spark is designed as a natively multimodal reasoning model, meaning it was trained from the ground up to process text, images & tools simultaneously..
- A key feature that uses multi agent orchestration to solve complex problems by running multiple reasoning agents in parallel.
- Meta claims the model matches the capabilities of its previous Llama 4 Maverick while using over 10 times less compute.
- The model excels in visual coding, health queries , developed with over 1,000 physicians and shopping assistance..
Performance Benchmarks of Muse
Muse Spark has shown competitive results against other frontier models in internal and independent evaluations..
- The model scored 50% with tools, a benchmark designed to be nearly impossible for AI.
- It achieved a score of 86.4, outperforming GPT-5.4 with 82.8 scores and Gemini 3.1 Pro (80.2).
- The model posted a score of 42.8, significantly higher than Gemini 3.1 Pro (20.6).
Availability and Integration of Muse
- Muse Spark is available now on the Meta AI app and meta.ai.
- It will be integrated into WhatsApp, Instagram, Facebook & Messenger, as well as Meta’s AI glasses in the coming weeks.
- Currently, a private preview via API is offered to select partners.
It currently powers Meta AI and is rolling out to WhatsApp, Instagram, Facebook & Messenger , It is available in private preview via API for select partners, with a possible open source version planned , It includes a specialized Shopping mode for creator-led recommendations and a Visual coding feature for building websites or mini-games from prompts..
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