Meta retires Llama, launches Muse Spark AI with Contemplating mode and health expertise

So long, Llama: Meta unveils Muse Spark AI with Contemplating mode and health focus - 9to5Mac

Llama is out; Muse Spark is in. Meta has unveiled its rebooted AI efforts with a new model it calls Muse Spark. Unlike Anthropic's Claude Mythos Preview announcement yesterday, Muse Spark is actually available publicly today. Meta is also taking on the top Gemini and ChatGPT models with a new Contemplating mode that it says will roll out gradually. Last year, Meta retooled its AI efforts under the leadership of Alexandr Wang with a new team called Meta Superintelligence Labs. Today, Meta is releasing Muse Spark, which it calls "the first step on our scaling ladder" as the team builds a family of Muse models. "Muse Spark offers competitive performance in multimodal perception, reasoning, health, and agentic tasks," Meta says. "We continue to invest in areas with current performance gaps, such as long-horizon agentic systems and coding workflows." As part of the announcement, Meta shows how Muse Spark Thinking benchmarks favorably next to Anthropic's Claude Opus 4.6 Max, Google's Gemini 3.1 Pro High, OpenAI's GPT-5.4 Xhigh, and xAI's Grok 4.2 Reasoning models. Muse Spark is available starting today in Meta AI apps. Muse Spark Thinking is just one mode. Muse Spark Contemplating mode will compete with Gemini 3.1 Deep Think and GPT-5.4 Pro. We're also releasing Contemplating mode, which orchestrates multiple agents that reason in parallel. This allows Muse Spark to compete with the extreme reasoning modes of frontier models such as Gemini Deep Think and GPT Pro. Contemplating mode provides significant capability improvements in challenging tasks, achieving 58% in Humanity's Last Exam and 38% in FrontierScience Research. Meta says it's also opening a private API preview for select partners. What is Muse Spark best for? Meta highlights multimodal expertise, specifically with "visual STEM questions, entity recognition, and localization." Meanwhile, health is another area of strength for Muse Spark, according to Meta: One major application of personal superintelligence is to help people learn about and improve their health. To improve Muse Spark's health reasoning capabilities, we collaborated with over 1,000 physicians to curate training data that enables more factual and comprehensive responses. Muse Spark can generate interactive displays that unpack and explain health information such as the nutritional content of various foods or muscles activated during exercise. You can learn more about the new Muse Spark AI models from Meta Superintelligence Labs here.

Introducing Muse Spark: Scaling Towards Personal Superintelligence

Today, we're excited to introduce Muse Spark, the first in the Muse family of models developed by Meta Superintelligence Labs. Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration. Muse Spark is the first step on our scaling ladder and the first product of a ground-up overhaul of our AI efforts. To support further scaling, we are making strategic investments across the entire stack -- from research and model training to infrastructure, including the Hyperion data center. In this post, we'll first explore Muse Spark's new capabilities and applications. After these results, we'll look behind the curtain at the scaling axes driving our progress toward personal superintelligence.