Meta: Muse Spark 1.3

Meta's Muse Spark 1.3 accepts text, image, video, and file inputs, with a context window of 1,048,576 tokens and a maximum completion length of 943,718 tokens. It supports tool calling and reasoning, which suits it to agentic workflows and multi-step tasks over long inputs. The available facts do not confirm structured output support or open weights, so teams that depend on either should verify before committing. At $1.25 per million input tokens and $4.25 per million output tokens, it is a candidate for buyers who need long context and video or file inputs without paying top-tier rates. It posts a blended benchmark score of 82.3, but that figure rests on a single independent benchmark, so its standing against competitors is only partly established. Shortlist it for long-document and multimodal workloads where cost matters, and run your own evaluations before relying on it in production.