Native multimodal
Vision is built in from the start, not bolted on. Images, charts, diagrams and text are understood together in one pass.
Muse Spark is Meta’s native multimodal reasoning model. It reads images, charts and text together, plans with multiple agents, and turns a single prompt into images, websites and mini-games.
Pressing Act opens Google sign-in, verifies your plan, then renders the response here.
Native multimodal reasoning, agentic creation and multi-agent planning were built together rather than assembled from separate services.
Vision is built in from the start, not bolted on. Images, charts, diagrams and text are understood together in one pass.
Contemplating mode fans a hard question out to several agents reasoning in parallel, then reconciles them into one answer.
Describe the outcome and Muse Spark plans the work: images, custom websites, dashboards and mini-games you can use straight away.
Contemplating mode separates planning from production, so the work you get back already matches the decisions that were made.
Drop in a prompt, a screenshot, a chart or a report. Nothing has to be reformatted first.
Agents work the problem from several angles, agreeing on a plan before anything is produced.
Get the image, site, game or dashboard the prompt described, not just a description of it.
The plan, the assumptions and the artefacts stay in context, so follow-up questions keep their footing.
Analyst decks, product briefs, research papers and product photos all enter the same context — and come back as work you can use.
Still deciding? Email support@musespark.homes and a human answers.
Muse Spark is Meta's native multimodal reasoning model. It reads text, images and charts in one context, plans with multiple agents, and creates images, websites, mini-games and dashboards from a single prompt.
Vision and reasoning were trained together rather than stitched on afterwards, so a chart, a screenshot and a question can be handed over as one problem. Contemplating mode adds parallel agents for harder questions.
Images with reasoning behind them, custom websites and landing pages, dashboards, mini-games, plus written explanations, summaries and step-by-step plans.
A slower, more deliberate path: several agents reason in parallel and their answers are reconciled before Muse Spark responds. It is the mode for multi-step science, maths and research questions.
Muse Spark is the reasoning model behind Meta AI experiences, including visual understanding on Meta AI glasses and personalised recommendations across the Meta apps.
Teams and individuals who work with mixed inputs — analysts reading charts, founders writing product briefs, students and researchers working through multi-step problems, and creators producing images and sites.
Start with the prompt you already have. Muse Spark validates your account and plan, then renders the result in the composer above.