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Meta

Chat with Muse Glimmer 30B online

Meta's open-weight agent model: reads a screenshot, calls the tool, keeps going.

试用 Muse Glimmer 30B 查看方案
790,000+ 位用户的信赖

131.072K tokens

上下文窗口

65,536 tokens

最大输出

快速

速度

你会用它做什么

Cheap autonomous agents

Tool-calling loops you can afford to run all day.

Look and act

Read a screenshot, then take the next step.

Everyday coding

Fast help on ordinary programming work.

Open-weight prototyping

Try it here, run it yourself later.

Prompts to steal

Tuned to this model — click any line to copy.

关于 Muse Glimmer 30B

Muse Glimmer 30B is Meta Superintelligence Labs' compact multimodal model, released in August 2026 and distilled from the larger Muse Spark. It is a dense 30-billion-parameter model with open weights, and Meta tuned it specifically for autonomous agents that need to run cheaply and on modest hardware. On NinjaChat it is included in every plan.

Distillation is the point. Rather than shipping a small model trained from scratch, Meta compressed the behavior of a much larger one into a size that is practical to run everywhere. What survives the compression is the agentic behavior: following a plan, calling tools, and staying on task across a long run, which is the part smaller models usually lose first.

It reads images as well as text and calls functions, so it can look at a screenshot and then act on what it sees. The context window is about 131K tokens, smaller than the million-token models beside it, which is the honest trade for its size and speed.

Reach for it when you want an agent loop that is cheap enough to run constantly, or when you want an open-weight model you could also run yourself. When a task needs a very long context or the hardest reasoning, GLM 5.3 and Claude Opus 5 are a click away.

如何使用 Muse Glimmer 30B

从零到第一个结果,不到一分钟。

01

Create a NinjaChat account and choose a plan

02

Open chat and pick Muse Glimmer 30B from the model list

03

Attach a screenshot or image with your question

04

Give it a clear plan when you want an agent-style run

05

Escalate to GLM 5.3 or Claude Opus 5 for hard reasoning

获得更好结果的技巧

  • Keep tasks scoped; the context is 131K, not a million
  • Give it the picture rather than a description
  • State the goal and the constraints up front for agent runs
  • Use it for volume, and a frontier model for the final call

Muse Glimmer 30B 与同类模型对比

客观对比——{model} 的优势所在,以及它的不足之处。

对比 GPT-OSS 120B

查看模型

+Reads images, and is smaller and faster

–GPT-OSS 120B is a larger open model for text-only work

对比 GLM 5.3 Flash

查看模型

+Distilled specifically for agent behavior

–GLM 5.3 Flash has a far larger context and takes video

对比 Claude Opus 5

查看模型

+A fraction of the cost per message

–Opus 5 is a frontier model for the hardest work

常见问题解答

不止于对话——图像与视频

每个 NinjaChat 方案均包含 50+ 个模型、完整图像工作室和视频生成功能。

A real FLUX Pro Ultra outputA real Google Imagen 4 outputA real Seedream output
查看所有模型 →

Muse Glimmer 30B,还有另外 50 多个模型。

一个订阅即可使用 NinjaChat 上的所有模型,包括 Muse Glimmer 30B。

开始使用对比方案
Download on the App Store

更多模型,等你探索

GPT-OSS 120B

OpenAI 的开放权重推理模型

→

GLM 5.3 Flash

Z.ai's multimodal Flash: images and video in, a million tokens of context

→

MiniMax M3

MiniMax 推出的多模态模型,面向长周期智能体与编程场景

→
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