Muse Spark 1.1 by Meta Superintelligence Labs
Muse Spark 1.1 is a reasoning model from Facebook AI Research Lab, released on 2026-07-09. It accepts text, image, audio, and video input and returns text output. The recorded context window is 1M. Cataloged capabilities include Reasoning model and Coding model. The model weights are proprietary and are not published for download. Use the linked references to confirm current access, licensing, and provider-specific limits.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Muse Spark 1.1 currently shows benchmark results led by HLE (4 / 185, score 62.10), MCP-Atlas (2 / 40, score 88.10), Creative Writing (6 / 99, score 1915.20). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Muse Spark 1.1 is a reasoning model from Facebook AI Research Lab, released on 2026-07-09.
It accepts text, image, audio, and video input and produces text output. Its cataloged capabilities include Reasoning model and Coding model. The recorded context window is 1M.
The model weights are proprietary and are not published for download. The evaluation section contains 7 cataloged benchmark results with their recorded modes and scores. The page links 2 release, model-card, repository, or provider references for checking the underlying claims. Specifications, availability, and prices can change; undisclosed values are intentionally left unstated.
Muse Spark 1.1 is a reasoning model from Facebook AI Research Lab, released on 2026-07-09. It accepts text, image, audio, and video input and returns text output. The recorded context window is 1M. Cataloged capabilities include Reasoning model and Coding model. The model weights are proprietary and are not published for download. Use the linked references to confirm current access, licensing, and provider-specific limits.
The current model record lists text, image, audio, and video as input and text as output.
The recorded context window is 1M. Fields without a source-backed value remain undisclosed.
The Meta Model API is in public preview and no public list price is published for Muse Spark 1.1.
The evaluation section contains 7 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.
The model weights are proprietary and are not published for download. Review the linked license text before commercial or derivative use.
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