# Muse Wonder Muse Wonder is an AI model released by Meta on Oct 12 2026. It has a 1M context window. Tracked results include 78.8% on DeepSWE 1.1, 53.1% on SWE-Marathon v1.1 and 70.5% on JobBench. ## Facts | Field | Value | | --- | --- | | Model | Muse Wonder | | Developer | Meta | | Release date | Monday, Oct 12 2026 | | Licensing | Closed | | Context window | 1M | ## Tracked benchmark scores | Benchmark | Score | Source | What it measures | | --- | --- | --- | --- | | DeepSWE 1.1 | 78.8% | Lab | Artificial Analysis' independent test of deep, agentic software-engineering work — the AI has to plan and carry out substantial coding tasks end to end. (Version 1.1 of the test.) Higher is better. | | SWE-Marathon v1.1 | 53.1% | Lab | Twenty multi-hour programming jobs — rebuilding a library, cloning a product, training a model, making something faster. A run counts only when every check passes, hidden tests and interface review included. Higher is better. | | JobBench | 70.5% | Lab | Tests the AI on professional workplace tasks that require using real work tools — the kind of multi-step jobs an office worker handles. Higher is better. | | AutomationBench | 39.1% | Lab | Tests whether the AI can run real multi-step business workflows — the kind of end-to-end office processes companies want to automate — from start to finish. Higher is better. | | Finance Agent v2 | 56.6% | Lab | Tests the AI on real financial-analysis work, like digging through reports and making sound decisions. Higher is better. | | HealthBench Professional | 60.5% | Lab | Realistic health conversations graded against detailed rubrics written by physicians — can the AI respond the way a careful medical professional would? Higher is better. | | GDP.PDF | 30.8% | Lab | Real professional PDFs — filings, reports, technical documents — with questions an expert in that field would ask. Tests whether the AI reads the page as a document, layout and figures included, rather than as loose text. Higher is better. | ## About Muse Wonder Muse Wonder, released October 12, 2026, opened the Muse Wonder series, a class of models Mark Zuckerberg described as much larger and more advanced than Muse Spark and the one Meta said brought it to the frontier. It launched beside Muse Wonder Full, as the faster of the two, fourteen months after Meta began rebuilding its AI effort from the ground up. Meta trained both at Prometheus, its gigawatt-scale data center, and built the launch around two behaviours it named itself: Active Memory, carrying context about a user across conversations and pulling it back when it becomes relevant, and Active Focus, staying on a long task through blockers and checking in before consequential actions. It was the half of the pair developers could reach, available on day one through the Meta Model API and Muse Code with a 1M-token context window and text, image, video, audio and PDF input, while Meta said Muse itself would switch to it later, subscribers first. Meta's launch table ran it at max reasoning against Muse Wonder Full, Claude Opus 5.5, Claude Fable 5.1 and GPT-6 Astra. Its best result was 85.6% on MemoryBench, the top score on the table and a tenth of a point ahead of Muse Wonder Full, and it scored 78.8% on DeepSWE 1.1 against 74.2% for Opus 5.5 and 10.0% on Harvey's Legal Agent Benchmark as run by Artificial Analysis, ahead of all three rival models. Elsewhere the smaller model gave ground: it trailed both Anthropic models on JobBench at 70.5% and Finance Agent v2 at 56.6%, and Opus 5.5 and GPT-6 Astra on AutomationBench at 39.1%. Meta put its Artificial Analysis Intelligence Index at 52, against 56 for Muse Wonder Full and 58 for Opus 5.5. ## Questions and answers ### When was Muse Wonder released? Muse Wonder was released by Meta on Monday, Oct 12 2026. ### Who made Muse Wonder? Muse Wonder was built by Meta. Develops the open-weight Llama series of models. Committed to open-source AI research. ### What benchmark scores did Muse Wonder get? Muse Wonder reports 7 tracked benchmark scores — DeepSWE 1.1: 78.8%; SWE-Marathon v1.1: 53.1%; JobBench: 70.5%; AutomationBench: 39.1%; Finance Agent v2: 56.6%; HealthBench Professional: 60.5%; GDP.PDF: 30.8%. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data. ### What is the context window of Muse Wonder? Muse Wonder has a context window of 1M. That is the maximum amount of input plus output the model can hold in a single request. ### Is Muse Wonder open source? No. Muse Wonder is a closed model. The weights are not published — it is available only through the provider's own API, apps, or partner platforms. ### What came before and after Muse Wonder? Meta's previous tracked release was Muse Spark 1.3 on Sep 2 2026, 40 days earlier. It was followed by Muse Wonder Full on Oct 12 2026. --- Canonical page: https://aireleasetracker.com/model/meta/muse-wonder Site index: https://aireleasetracker.com/llms.txt Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.