Meta的Muse Spark Open今天可在Together AI上获得。 我们是一个Day 0 发布的合作伙伴，为美国迄今为止最有能力的开放量级模型，为长期代理编码工作流程而建，使整个代码库保持上下文。
Muse Spark Open是代理软件工程，计算机使用和网络自动化，以及理解文件，图像，音频和视频一起的一步。 通过我们的早期访问程序，我们提出在发布之前选择客户。 他们评价了它，准备在0日提供给自己的客户，并与Meta分享现实世界的反馈。
关于Muse Spark 打开
Muse Spark Open接受了关于真实开发者工作的培训：多文件重构，调试会话，以及长期运行的任务。 结果是第一试精度更高，工具可靠调用，对寄存器开发者们的深层密码库理解实际起作用。
很明显的是：
- 1M键上下文窗口。 它持有整个项目，包括复杂的依赖性，遗留代码，以及数千个文件，而不将工作分割成块。
——长视自治。 它计划，行动，观察，以及长视野的自我修正，并且为可以分割的工作协调子剂。
- 电脑的使用和浏览。 它使用跨桌面，移动和浏览器的计算机使用能力，并用多式联运浏览网页。
- 多式联运投入。 它接受文本，图像，音频，和音频视频输入。
- 有意的评论。 它说明它在做什么，为什么在采取行动之前就采取行动，这使长期审计更容易进行。
什么早期访问客户称
工厂和Ollama是两座客户，可以提前进入。 两人在发布之前都使用Muse Spark Open，并且都从0天开始向用户提供。
"企业选择Factory，因为他们希望他们的机器人运行在任务的最佳模型上。 在我们的代理工程工作流程中，Muse Spark Open一致地选择了正确的工具并保持了其响应紧凑，正是agents的决定性生产需要。 通过Together AI的早期接入让我们在发布之前进行压力测试，因此我们的客户在0日获得接入".
Zimu Li，工厂技术人员
"全球数百万开发商依靠Ollama作为目的地，与开源模型一起起来运行。 我们很高兴与Together AI合作提供Muse Spark Open服务。 这一模式在呼吁工具和长期背景方面表现特别出色，包括多步骤和平行呼吁以及结构清洁的产出。
与Together AI合作进行早期访问，使我们能够充分评价和优化模型，使开发者从发布开始体验到一个得到充分支持，生产准备的模型".
董陈，高级AI工程师，Ollama
在 Together AI 上运行
无服务器。 与 API 一起打开 Muse Spark:
定价为每1M输入令牌1.25元，每1M输出令牌4.25元，每1M缓存输入令牌0.15元。 也可以在游乐场里尝试。
开始或和工程师交谈
本文由 AI宝盒自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
Meta's Muse Spark Open is available on Together AI today. We're a Day 0 launch partner for the most capable US open-weight model to date, built for long-running agentic coding workflows that keep entire codebases in context.
Muse Spark Open is a step forward for agentic software engineering, computer use and web automation, and understanding documents, images, audio, and video together. Through our early access program, we offered it to select customers before launch. They evaluated it, prepared to offer it to their own customers on day 0, and shared real-world feedback with Meta.
About Muse Spark Open
Muse Spark Open is trained on real developer work: multi-file refactors, debugging sessions, and long-running tasks. The result is higher first-attempt accuracy, reliable tool calling, and deep codebase understanding across the repositories developers actually work in.
What stands out:
- 1M-token context window. It holds entire projects, including complex dependencies, legacy code, and thousands of files, without splitting work into pieces.
- Long-horizon autonomy. It plans, acts, observes, and self-corrects over long horizons, and coordinates subagents for work that can be split up.
- Computer use and browsing. It uses computer-use capabilities across desktop, mobile, and browser, and browses the web with multimodal browsing.
- Multimodal input. It accepts text, image, audio, and audio-video input.
- Intent commentary. It states what it is doing and why before acting, which makes long runs easier to audit.
What early access customers said
Factory and Ollama were two customers with early access. Both used Muse Spark Open before launch, and both offer it to their users from day 0.
"Enterprises choose Factory because they want their Droids running on the best model for the task. In our agentic engineering workflows, Muse Spark Open consistently selected the right tool and kept its responses compact, exactly the decisiveness production agents need. Early access through Together AI let us stress-test it ahead of launch, so our customers get access on day 0."
Zimu Li, Member of technical staff, Factory
"Millions of developers across the globe rely on Ollama as the destination to get up and running with open source models. We are delighted to offer Muse Spark Open in partnership with Together AI. This model performs particularly well on tool calling and long context, including multi-step and parallel calls with clean structured outputs.
Partnering with Together AI for early access allowed us to sufficiently evaluate and optimize the model so that developers experienced a fully supported, production-ready model from the moment it launched."
Dong Chen, Senior AI Engineer, Ollama
Run it on Together AI
Serverless. Call Muse Spark Open with the Together API:
Pricing is $1.25 per 1M input tokens, $4.25 per 1M output tokens, and $0.15 per 1M cached input tokens. You can also try it in the playground.
Get started or Talk to an engineer
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