# Muse Wonder Full Muse Wonder Full is an AI model released by Meta on Oct 12 2026. Tracked results include 79% on DeepSWE 1.1, 57.5% on SWE-Marathon v1.1 and 75.3% on JobBench. ## Facts | Field | Value | | --- | --- | | Model | Muse Wonder Full | | Developer | Meta | | Release date | Monday, Oct 12 2026 | | Licensing | Closed | ## Tracked benchmark scores | Benchmark | Score | Source | What it measures | | --- | --- | --- | --- | | DeepSWE 1.1 | 79% | 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 | 57.5% | 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 | 75.3% | 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 | 45.4% | 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 | 59.1% | Lab | Tests the AI on real financial-analysis work, like digging through reports and making sound decisions. Higher is better. | | HealthBench Professional | 62.3% | 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 | 33.2% | 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 Full Muse Wonder Full, released October 12, 2026 alongside Muse Wonder, was the full version of the Muse Wonder series and the most capable model Meta had shipped at the time. Where Muse Wonder went to the Meta Model API, Full launched for Muse Code subscribers only, inside Meta's coding agent rather than as an API endpoint. Meta used it to argue a point about generalisation: plotted against Muse Spark 1.3 across reasoning efforts, it did better on tasks Meta had not targeted in post-training than its in-distribution scores would predict, which Meta credited to a larger and stronger base model rather than to tuning for the benchmarks. On Meta's launch table, run at max reasoning, it led every model compared on Harvey's Legal Agent Benchmark as run by Artificial Analysis at 13.1% against 8.6% for GPT-6 Astra, on AutomationBench at 45.4%, on DeepSWE 1.1 at 79.0%, on SWE-Marathon at 57.5% with xhigh reasoning, and narrowly on Finance Agent v2 at 59.1% to Claude Fable 5.1's 58.9%. It did not sweep the table. Claude Opus 5.5 scored higher on HealthBench Professional, JobBench by a tenth of a point, OSWorld 2.1 partial completion, and Terminal-Bench 4.0 as run by Artificial Analysis, 59.6% to 57.1%, while GPT-6 Astra took GDP.PDF at 34.2% to 33.2%. On the Artificial Analysis Intelligence Index it landed at 56, two points behind Opus 5.5. ## Questions and answers ### When was Muse Wonder Full released? Muse Wonder Full was released by Meta on Monday, Oct 12 2026. ### Who made Muse Wonder Full? Muse Wonder Full was built by Meta. Develops the open-weight Llama series of models. Committed to open-source AI research. ### What benchmark scores did Muse Wonder Full get? Muse Wonder Full reports 7 tracked benchmark scores — DeepSWE 1.1: 79%; SWE-Marathon v1.1: 57.5%; JobBench: 75.3%; AutomationBench: 45.4%; Finance Agent v2: 59.1%; HealthBench Professional: 62.3%; GDP.PDF: 33.2%. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data. It holds the best score among all models tracked here on DeepSWE 1.1, SWE-Marathon v1.1 and JobBench. ### Is Muse Wonder Full open source? No. Muse Wonder Full 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 Full? Meta's previous tracked release was Muse Wonder on Oct 12 2026. It is the most recent Meta model tracked on AI Release Tracker. --- Canonical page: https://aireleasetracker.com/model/meta/muse-wonder-full 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.