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project Published on 14 October 2026

muse-wonder: learn about Meta’s AI and how to try it

The project introduces Meta’s AI and explains how to use it and try its graphics.

Muse Wonder and Muse Wonder Full are two artificial intelligence models introduced by Meta. They were designed to work for long periods on programming and office tasks. Both accept text, images, video, audio, and PDFs as input, but respond in text. Wonder is available through Meta’s API, Muse Code, and OpenRouter. Wonder Full, the more capable version, can only be used in Muse Code.

For people who program, these models can help with time-consuming tasks, such as fixing problems and working across several files in a project. The comparison charts show different results depending on the task: Wonder Full stands out in some long programming tasks, but trails other models in creating programs from scratch, terminal commands, and knowledge. Meta produced some of the evaluations, so the figures should be treated with caution and do not guarantee the same results in your work.

To get started, you can test Wonder through Meta’s API or OpenRouter; Wonder Full requires Muse Code. Before choosing, compare the models on a few real tasks from your project, using the same starting point, instructions, and tools. Check whether the tests pass, how long each task takes, the cost, and how many times you had to step in. Results can vary between runs, so it is useful to repeat each task and review the code changes.

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