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News brief · About 3 min read

Together adds hosted Muse Spark Open access, with separate input, output and cache prices

The October 15 availability notice describes a 1M-token context and usage billing, not a new Meta release independently verified by AISubHub.

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Together AI's October 15 announcement makes Muse Spark Open available on its platform through serverless and dedicated infrastructure. Together describes itself as a day-zero partner and attributes the open-weight model to Meta. This is a report of Together's hosted access and advertised terms; we did not read Meta's linked announcement or independently establish its original release history.

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Together adds hosted Muse Spark Open access, with separate input, output and cache prices

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At a glance

  • The source advertises a 1M-token context window for long coding tasks, multi-file changes and project context. It also describes planning, tool use, subagents, computer use and intent commentary. These are provider descriptions, not our benchmark results or a guarantee that every repository fits into one request.
  • The model is described as accepting text, images, audio and audio-video. The post supplies a serverless SDK example and mentions dedicated infrastructure, but we did not run either. Model capabilities described in the announcement do not independently verify every modality or tool in each deployment.
  • The published usage prices are US$1.25 per million input tokens, US$4.25 per million output tokens and US$0.15 per million cached input tokens. They are distinct billing categories, not a monthly plan or a promise that all input receives the cached rate. A playground link does not establish free usage.
  • Factory and Ollama are named as early-access customers offering the model to users from day zero. Their statements praise tool calling and long context, but they are customer testimonials. They do not establish a general model ranking, universal reliability or that the full model runs locally on any consumer device.

Why it matters

The practical news is another hosted route for evaluating this model and a public token-price reference. Developers should compare the requested context, generated output and applicable cache use when estimating a task, then test their own acceptance criteria. Those quantities and the chosen deployment affect cost and behavior; this notice alone does not demonstrate production savings.

Limits and availability

We read the full Together notice, including testimonials and pricing. We did not follow Meta, GitHub or other linked pages, inspect the model license, call an API or buy access. Open-weight status is not proof of unrestricted commercial permission or free hosted compute. The source date is October 15, rather than a new launch on the day of our review.

Sources and evidence

Together AI Blog

Source published: Oct 15, 2026 · Source checked: Oct 20, 2026

AI-assisted editorial articles checked against linked primary sources. Vendor claims are attributed; inclusion is not endorsement.