{"slug": "test-muse-wonder-on-the-api-but-its-top-scores-belong-to-gated-full", "title": "Test Muse Wonder on the API, but its top scores belong to gated Full", "summary": "Meta released Muse Wonder on its Model API while keeping the stronger Muse Wonder Full limited to Muse Code subscribers, with independent scores putting Full at 56 and Wonder at 52. Because the higher-scoring variant is gated, API users should benchmark the model they can actually call rather than the Full version. The same roundup notes Cognition's FrontierCode 1.1 benchmark now has public results on Artificial Analysis, grading coding models on whether maintainers would merge their changes, not only on whether tests pass.", "body_md": "Meta released Muse Wonder on its Model API and a stronger Muse Wonder Full limited to Muse Code subscribers. Independent scores put Full at 56 and Wonder at 52, so API users should benchmark the model they can actually call.\nRead: Meta released Muse Wonder on its Model API and a stronger Muse Wonder Full limited to Muse Code subscribers. Independent scores put Full at 56 and Wonder at 52, so API users should benchmark the model they can actually call.\nRead: Cognition's FrontierCode 1.1 benchmark now has public results on Artificial Analysis. It grades coding models on whether maintainers would merge their changes, not only on whether tests pass.\nRead: Researchers gave coding agents specifications for 165 open-source apps and scored the test suites they wrote by mutation kill rate. Even frontier agents stayed below 60%, although 88% of their tests passed on the reference code.\nRead: Satya Nadella said Microsoft will scale its Maia chips to multi-gigawatt deployments as its primary inference system, introducing Maia 300 with a claimed 40% more tokens per watt than leading GPU systems.\nRead: Qwen introduced QwenGyre, an elastic reinforcement learning system for very long agent tasks. It shifts GPUs between rollout and training and merges branching runs into shared-prefix trajectory trees.\nRead: ElevenLabs released Eleven v4 text-to-speech with inline delivery tags and a low-latency Turbo variant at about 100ms median latency, now available inside its ElevenAgents platform.\nRead: A new benchmark, HWREBench, set AI agents against off-the-shelf smart devices and found most could be compromised, starting from an agent that broke a DVD drive's firmware encryption.", "url": "https://wpnews.pro/news/test-muse-wonder-on-the-api-but-its-top-scores-belong-to-gated-full", "canonical_source": "https://www.vibeleaderboard.ai/intel/brief/2026-10-13", "published_at": "2026-10-13 11:20:03+00:00", "updated_at": "2026-10-14 23:56:52.048568+00:00", "lang": "en", "topics": ["large-language-models", "ai-products", "developer-tools", "ai-research", "ai-agents"], "entities": ["Meta", "Muse Wonder", "Muse Wonder Full", "Muse Code", "Model API", "Cognition", "FrontierCode 1.1", "Artificial Analysis"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/test-muse-wonder-on-the-api-but-its-top-scores-belong-to-gated-full", "markdown": "https://wpnews.pro/news/test-muse-wonder-on-the-api-but-its-top-scores-belong-to-gated-full.md", "text": "https://wpnews.pro/news/test-muse-wonder-on-the-api-but-its-top-scores-belong-to-gated-full.txt", "jsonld": "https://wpnews.pro/news/test-muse-wonder-on-the-api-but-its-top-scores-belong-to-gated-full.jsonld"}}