# Cursor adds Meta’s Muse Wonder model, which scores 46.1% on CursorBench > Source: > Published: 2026-10-15 23:02:04+00:00 Photo: Steve A Johnson / Pexels # Cursor adds Meta’s Muse Wonder model, which scores 46.1% on CursorBench Meta Superintelligence Labs' new agentic model lands in the popular AI code editor with a mid-pack benchmark score and a 1M-token context window [Meta](https://cryptobriefing.com/markets/meta/) Superintelligence Labs has a new model in one of the most competitive rooms in AI: the code editor. Muse Wonder is now available inside Cursor, and it posted a score of **46.1%** on CursorBench. That is a respectable debut, not a coronation. The current leader on the same benchmark sits more than 11 points higher, so Meta’s entry joins the race somewhere in the middle of the pack. ## What Muse Wonder brings to Cursor Cursor is the AI-powered code editor built by Anysphere. It lets developers choose which underlying model does the heavy lifting, which makes it a kind of open audition stage for AI labs. Meta Superintelligence Labs released Muse Wonder on October 12, 2026, alongside a more capable sibling called Muse Wonder Full. Both are pitched at agentic work, meaning tasks where the model has to keep a goal in mind across many steps instead of answering one question and stopping. To support that, Muse Wonder ships with a 1M-token context window. Tokens are the chunks of text a model reads, so a window that large lets it hold a sizable codebase or document set in working memory at once. The model also accepts multimodal input, including text, images, video and audio. ### AI, tech, and the markets they move—in one daily briefing. Daily. Free. Join 34,000+ readers across crypto, finance, and policy. Pricing through the Meta Model API is set at **$4 per million input tokens** and **$20 per million output tokens**. ## How the benchmark numbers stack up The 46.1% figure comes from CursorBench 4.0, using the model’s ‘High’ configuration. Turned up to its ‘Max’ setting, Muse Wonder can reach as much as 50.4%. For comparison, Claude Opus 5.5 leads at 57.8% in its maximum effort mode. Even at full throttle, Meta’s model trails that mark by 7.4 points. The research summary describes the result as competitive among mid-tier models and favorable against several other frontier systems. CursorBench itself is fairly new. Version 4.0 was introduced on September 10, 2026, roughly a month before Muse Wonder launched, and it focuses on long-horizon coding tasks drawn from real-world software development scenarios. Meta’s own internal evaluations point to strengths in long-horizon coding and agent workflows. ## Where this fits in Meta’s AI push The Muse Wonder models are built on Meta’s earlier Muse [Spark](https://cryptobriefing.com/markets/spark-2/) series. They arrive as part of a broader effort to sharpen the company’s AI offerings following a significant restructuring of its AI division in mid-2025. **Disclosure:** This article was edited by Diego Almada Lopez. For more information on how we create and review content, see our [Editorial Policy](https://cryptobriefing.com/editorial-policy/).