Meta
Chat with Muse Glimmer 30B online
Meta's open-weight agent model: reads a screenshot, calls the tool, keeps going.
131.072K tokens
컨텍스트
65,536 tokens
최대 출력
빠름
속도
이럴 때 활용하세요
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.
Muse Glimmer 30B 소개
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.
Muse Glimmer 30B 사용 방법
1분 안에 첫 결과물까지.
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
더 나은 결과를 위한 팁
- 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 vs 다른 대안들
{model}이 앞서는 부분과 그렇지 않은 부분, 솔직하게 비교합니다.
vs GPT-OSS 120B
모델 보기Reads images, and is smaller and faster
GPT-OSS 120B is a larger open model for text-only work
vs GLM 5.3 Flash
모델 보기Distilled specifically for agent behavior
GLM 5.3 Flash has a far larger context and takes video
vs Claude Opus 5
모델 보기A fraction of the cost per message
Opus 5 is a frontier model for the hardest work
