Meta's Muse Image debuts at #4 on the Artificial Analysis Image Editing Leaderboard and takes #5 in Text to Image, including a position on the Pareto frontier for quality vs price
Muse Image is the first image model from Meta Superintelligence Labs, launched in Meta AI in July and now available to developers on the Meta Model API. Meta positions it as an agentic image model: it invokes search and coding tools, self-refines its own generations, and composes from multiple references.
In the Artificial Analysis Image Arena, Muse Image debuts at #4 in Image Editing, behind Microsoft's MAI-Image-2.6-Preview and OpenAI's GPT Image 2 (high) and narrowly behind Google's Nano Banana 2. In Text to Image it takes #5, behind only GPT Image 2 (high), MAI-Image-2.6-Preview, Reve 2.1, and Google's Nano Banana 2.
Muse Image is available in the Meta AI app, on https://t.co/RAZKpGp53L, in Instagram Stories, in WhatsApp in limited countries, and to developers via the Meta Model API and partner platforms fal, Runway, and OpenRouter.
Congratulations to @AIatMeta, @alexandr_wang, & @finkd on the release!
See below for our analysis and example outputs of Muse Image in the Artificial Analysis Image…
Muse Image ranks close to Nano Banana 2 and GPT Image 2 while sitting on the price/quality frontier, and it is reachable through the Meta Model API, fal, Runway, and OpenRouter rather than only Meta's own apps.
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