Meta has released Muse Spark 1.3, a new AI model boasting improved speed and performance over its predecessor. CEO Mark Zuckerberg highlighted this version as Meta's most significant advancement in coding and agentic tasks. The deployable version, while very capable, does not lead independent benchmarks but offers strong price-performance. A more powerful "max reasoning" configuration is undergoing safety testing and will be released later. The currently available Muse Spark 1.3 utilizes previously established reasoning settings, making its real-world enterprise cost and performance the key considerations. Meta's launch materials prominently feature the max variant, which achieved higher benchmark scores in evaluations. However, the shipping xhigh version is competitive, tying with other leading models on some intelligence metrics. Muse Spark 1.3 represents a substantial improvement, trading wins with top models in coding and agentic evaluations. The model also features enhanced operational capabilities, using fewer tool calls and tokens for coding tasks. Despite the "too cheap to meter" claim, API pricing for Muse Spark 1.3 has not decreased. Independent analysis suggests the cost per task has increased despite unchanged token rates due to higher input token consumption. Meta also maintains a low-cost "Contributor" tier for training data use. The release positions Muse Spark 1.3 competitively against Google's Gemini 3.8 Flash, with Meta showing slight advantages in intelligence and task cost. However, Google leads in throughput and offers a lower introductory API price. The company's evolving stance on open-weight models, with ambiguity surrounding the release of open-weight Spark versions, may be a significant factor for developers. Muse Spark 1.3 demonstrates Meta's rapid iteration of proprietary models, but a clear, deployable roadmap for its best capabilities and open-weight releases remains anticipated.