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Chat with Muse Glimmer 30B online

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

Prova Muse Glimmer 30B Vedi i piani
Scelto da 790,000+ utenti

131.072K tokens

Contesto

65,536 tokens

Output massimo

Veloce

Velocità

Come lo userai

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.

Informazioni su 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.

Come usare Muse Glimmer 30B

Da zero al primo risultato in meno di un minuto.

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

Consigli per risultati migliori

  • 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 le alternative

Confronti onesti — dove {model} vince, e dove no.

vs GPT-OSS 120B

Vedi modello

+Reads images, and is smaller and faster

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

vs GLM 5.3 Flash

Vedi modello

+Distilled specifically for agent behavior

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

vs Claude Opus 5

Vedi modello

+A fraction of the cost per message

–Opus 5 is a frontier model for the hardest work

Domande frequenti

Oltre la chat — immagini e video

Ogni piano NinjaChat include 50+ modelli, uno studio immagini completo e la generazione video.

A real FLUX Pro Ultra outputA real Google Imagen 4 outputA real Seedream output
Vedi tutti i modelli →

Muse Glimmer 30B, e altri 50.

Un solo abbonamento copre tutti i modelli di NinjaChat, Muse Glimmer 30B compreso.

IniziaConfronta i piani
Download on the App Store

Altri modelli da scoprire

GPT-OSS 120B

Il modello di ragionamento open-weight di OpenAI

→

GLM 5.3 Flash

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

→

MiniMax M3

Il modello multimodale di MiniMax per agenti a lungo raggio e coding

→
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