Muse Spark by Meta Superintelligence Labs
Muse Spark is a reasoning model from Facebook AI Research Lab, released on 2026-04-08. It accepts text, image, audio, and video input and returns text output. The recorded context window is 262K. Cataloged capabilities include Reasoning 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 currently shows benchmark results led by HLE (5 / 170, score 58), GPQA Diamond (25 / 187, score 89.50), FrontierMath (9 / 60, score 39). 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 is a reasoning model from Facebook AI Research Lab, released on 2026-04-08.
It accepts text, image, audio, and video input and produces text output. Its cataloged capabilities include Reasoning model. The recorded context window is 262K.
The model weights are proprietary and are not published for download. The evaluation section contains 13 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 is a reasoning model from Facebook AI Research Lab, released on 2026-04-08. It accepts text, image, audio, and video input and returns text output. The recorded context window is 262K. Cataloged capabilities include Reasoning 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 262K. Fields without a source-backed value remain undisclosed.
No first-party public token API price for the exact model.
The evaluation section contains 13 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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