{
  "id": 5192726,
  "title": "Zuck's Muse to Spark joy with open weights release 'soon'",
  "url": "https://urgent.news/2026/09/02/zucks-muse-to-spark-joy-with-open-weights-release-soon",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-02T22:31:10.000Z",
  "source": {
    "name": "The Register",
    "slug": "the-register",
    "url": "https://www.theregister.com/ai-and-ml/2026/09/02/zucks-muse-to-spark-joy-with-open-weights-release-soon/5294093"
  },
  "original_language": "en",
  "account": "Meta, led by CEO Mark Zuckerberg, will soon introduce an open weights version of its flagship AI model Muse Spark. In the interim, Muse Spark 1.3, a smarter, more efficient iteration of the model, is now available on Facebook's API service and Muse Code CLI. Since the initial release of Muse Spark in April, Meta has rolled out multiple refinements to maintain its competitive edge and convince investors that its significant capital expenditure is justified.\n\nMuse Spark 1.3 brings several notable enhancements, particularly for users employing the model with AI agents and code assistants. Independent benchmarking by Artificial Analysis corroborates Meta's claims, demonstrating a 4-point increase in overall intelligence, placing Muse Spark in contention with leading AI models such as GPT 5.6 Sol, Claude Opus 5, and Grok 4.6 High. However, a crucial reasoning mode used for benchmarking will only be accessible post-security review.\n\nPriced at $1.25 for a million input tokens, $0.15 for cached input, and $4.25 for output, Muse Spark 1.3 holds up better in long-horizon workloads and is more realistic about its capabilities. The model requests human counsel more frequently when faced with ambiguous prompts, solicits assistance from the user when stuck, and confirms before executing consequential actions. These enhancements also reduce the number of turns and tokens required to complete a task, potentially lowering costs for users.\n\nFor those seeking more affordable options, Meta offers a contributor tier with rates as low as $0.002 for cached input, $0.10 for input, and $0.20 for output per million tokens.",
  "summary": "While you wait, Meta says it’s taught the model to stop wasting tokens and ask for help a bit more often",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "The Register Science",
        "title": "Zuck's Muse to Spark joy with open weights release 'soon'",
        "url": "https://urgent.news/2026/09/02/zucks-muse-to-spark-joy-with-open-weights-release-soon-5195896",
        "published": "2026-09-02T22:31:10.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}