Model Detail
Meta: Muse Spark 1.3 Contributor
—Meta: Muse Spark 1.3 Contributor is a multimodal model released by Meta. And supports text+image+file+video->text inputs.
Meta: Muse Spark 1.3 Contributor is priced at $0.1/M input tokens and $0.2/M output tokens. Operationally the model offers a 1049K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.
Meta: Muse Spark 1.3 Contributor is published on Hugging Face but our pipeline has not yet captured architecture, license, or parameter-count metadata for this entry. The data is refreshed daily, so these fields typically populate within 24–48 hours of release.
Meta: Muse Spark 1.3 Contributor is best fit for mixed text-and-image reasoning tasks such as document understanding, high-volume batch jobs where per-call cost dominates the budget, and long-context tasks such as full-codebase analysis or book-length summarization (1049K tokens). Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
Muse Glimmer 30B: An On-Device Agentic Model
arXiv:2610.24628v2 Announce Type: replace-cross Abstract: We introduce Muse Glimmer, an open-source 30B parameter causal language model with perception encoder, purpose-built for autonomous agentic tasks on consumer hardware. Muse Glimmer integrates multi-step reasoning, reliable tool use and failur
Meta pauses Muse sharing after researchers find AI chats on the web
Meta says it paused a Muse feature that lets you share conversations with the AI assistant after researchers found the URLs publicly available on the web, as reported by Ars Technica. In a report published this week, researchers at the security firm Claroc say they found more than 6,800 Muse links t
Meta’s Muse hits 10M US downloads in 40 days, a milestone reached by only 11 other apps
New data also shows Muse is retaining users at higher rates than its AI rivals.
Meta and Apple team up to make Muse AI models run better on Macs
Meta announced the Muse Spark Open AI model today, claiming that it's the "most capable US open-weight model to date." But the company also says that it's the "the first model in its class" that can "run on your desktop using two Apple M5 Ultra Mac Studios with the latest MLX framework." Meta and Ap
Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta
Meta releases its first frontier model, Muse Wonder
Where Muse Spark aimed to be a lightweight model that could perform at low latency, the Wonder models are larger and said to be more capable, with higher benchmark scores and better results on complex tasks like coding.
