body { background: #06080c; color: #e5e9f0; margin: 0; } .rw-nojs-bar { max-width: 880px; margin: 0 auto; padding: 18px 16px 14px; } .rw-nojs-bar .rw-nojs-brand { font: 700 20px/1 Inter, system-ui, sans-serif; color: #e5e9f0; text-decoration: none; } .rw-nojs-nav { max-width: 880px; margin: 0 auto; padding: 0 16px 14px; border-bottom: 1px solid #1c2230; font: 500 14px/1.4 Inter, system-ui, sans-serif; } .rw-nojs-nav a { color: #6f9bff; margin: 0 14px 6px 0; text-decoration: none; display: inline-block; } .rw-nojs-nav a:hover { text-decoration: underline; } .rw-nojs-note { max-width: 880px; margin: 12px auto 0; padding: 0 16px; font: 400 13px/1.5 Inter, system-ui, sans-serif; color: #8a93a6; } #root [data-rw-crawler] { max-width: 880px; margin: 0 auto; padding: 8px 16px 48px; font: 400 16px/1.65 Inter, system-ui, sans-serif; color: #e5e9f0; } #root [data-rw-crawler] a { color: #6f9bff; } #root [data-rw-crawler] h1 { font-size: 28px; line-height: 1.2; } #root [data-rw-crawler] h2 { font-size: 20px; margin-top: 28px; } #root [data-rw-crawler] img { max-width: 100%; height: auto; } #root [data-rw-crawler] ul { padding-left: 0; list-style: none; } #root [data-rw-crawler] li { margin: 0 0 18px; } #root [data-rw-crawler] .rw-pagination { margin: 28px 0 0; display: flex; flex-wrap: wrap; gap: 12px; align-items: baseline; } #root [data-rw-crawler] .rw-pagination strong { color: #e5e9f0; } .rw-nojs-footer { max-width: 880px; margin: 40px auto 0; padding: 22px 16px 44px; border-top: 1px solid #1c2230; font: 400 13px/1.6 Inter, system-ui, sans-serif; color: #8a93a6; } .rw-nojs-footer .rw-nojs-fcols { display: flex; flex-wrap: wrap; gap: 28px 40px; margin-bottom: 20px; } .rw-nojs-footer h2 { font-size: 11px; letter-spacing: 0.05em; text-transform: uppercase; color: #b7c0d3; margin: 0 0 8px; } .rw-nojs-footer a { color: #6f9bff; text-decoration: none; display: block; margin: 0 0 5px; } .rw-nojs-footer a:hover { text-decoration: underline; } .rw-nojs-footer .rw-nojs-legal { font: 400 12px/1.6 Inter, system-ui, sans-serif; color: #6b7384; margin: 0; } .rw-nojs-footer .rw-nojs-legal a { display: inline; } RuntimeWire Investigations Stories AI Startups Venture Products Funding Exits Models Head-to-Head About You're browsing RuntimeWire with JavaScript disabled. Articles and navigation work fully. Interactive features — search, comments, and newsletter signup — require JavaScript.

Meta: Muse Spark 1.1

meta/muse-spark-1.1

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks.

Context window: 1,048,576 tokens
Input: text, image, video, file, audio
Output: text
Pricing: $1.25/M input tokens, $4.25/M output tokens

RuntimeWire coverage

View on OpenRouter. Model data sourced from OpenRouter.

More models from meta

Browse all AI models

Sections

Investigations Stories AI Startups Venture Products Funding Exits

Publication

About FAQ Contact Editorial Policy Corrections Policy Ethics

Tools

AI Model Pricing Head-to-Head

Legal

Privacy Terms