Muse Glimmer 30B
Muse Glimmer 30B is Meta's Apache 2.0 licensed 30B dense model for agentic work, accepting interleaved text and images across 100+ languages within a context window of 131.1K tokens.
- Input and output price
- Prices from: Input $0.30, Output $1.10, Per 1M tokens
- 24h uptime
- Loading AI Gateway uptime
import { streamText } from 'ai'
const result = streamText({ model: 'meta/muse-glimmer-30b', prompt: 'Why is the sky blue?'})Copy link to headingFrequently Asked Questions
What licence does Muse Glimmer 30B use?
Apache 2.0, with no revenue threshold or separate commercial licence required.
How large is Muse Glimmer 30B?
Roughly 29.6 billion parameters in a dense transformer across 52 layers, including a perception encoder for image input.
Can I run Muse Glimmer 30B locally?
Yes. At roughly 4-bit quantization it drops under 20 GB, leaving room on a 24 to 32 GB machine for the KV cache and encoder. Through AI Gateway you can call it over an API instead.
What is Muse Glimmer 30B strongest at?
Agentic orchestration and reasoning. It reaches 75.5 on MCP Atlas, 74.6 on DeepSearch QA, and 94.7 on AIME 2026, ahead of comparable open models. It trails them on computer-use and terminal work.
How does Muse Glimmer 30B relate to Muse Spark?
It is a distillation of the flagship. Meta states it does not meet the Frontier AI definition in its own scaling framework, so treat it as a capable open model rather than a flagship substitute.
What is the context window for Muse Glimmer 30B?
The context window is 131.1K tokens, with up to 131.1K tokens per response.
What safety guidance does Meta give?
Deploy with guardrails, including human confirmation before irreversible actions. On CI Memories, a privacy benchmark where lower is better, it scores mid-pack against comparable open models.
Does Muse Glimmer 30B support Zero Data Retention?
Yes, Zero Data Retention is available for this model. Zero Data Retention is offered on a per-provider basis. See https://vercel.com/docs/ai-gateway/capabilities/zdr for details.