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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.

Prueba Muse Glimmer 30B Ver planes
Con la confianza de 790,000+ usuarios

131.072K tokens

Contexto

65,536 tokens

Salida máxima

Rápido

Velocidad

Para qué lo usarás

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.

Acerca de 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.

Cómo usar Muse Glimmer 30B

De cero a tu primer resultado en menos de 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

Consejos para mejores resultados

  • 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 las alternativas

Comparativas honestas — dónde gana {model} y dónde no.

vs GPT-OSS 120B

Ver modelo

+Reads images, and is smaller and faster

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

vs GLM 5.3 Flash

Ver modelo

+Distilled specifically for agent behavior

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

vs Claude Opus 5

Ver modelo

+A fraction of the cost per message

–Opus 5 is a frontier model for the hardest work

Preguntas frecuentes

Más allá del chat — imágenes y video

Todos los planes de NinjaChat incluyen 50+ modelos, un estudio completo de imágenes y generación de video.

A real FLUX Pro Ultra outputA real Google Imagen 4 outputA real Seedream output
Ver todos los modelos →

Muse Glimmer 30B, y 50 más.

Una sola suscripción cubre todos los modelos de NinjaChat, Muse Glimmer 30B incluido.

EmpezarComparar planes
Download on the App Store

Más modelos para explorar

GPT-OSS 120B

El modelo de razonamiento de pesos abiertos de OpenAI

→

GLM 5.3 Flash

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

→

MiniMax M3

El modelo multimodal de MiniMax para agentes de largo alcance y programación

→
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