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 headingProviders
Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.
Copy link to headingPlayground
Try out Muse Glimmer 30B by Meta. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.
Muse Glimmer 30B
Muse Glimmer 30B
Copy link to headingUptime24 hours
Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.
Copy link to headingThroughput24 hours
P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.
Copy link to headingLatency24 hours
P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.
Copy link to headingMore models by Meta
| Model |
|---|
| — | $0.01/img | — | | 08/26/2026 | ||||||||||
| 1M | 4.3 s | 186 tps | $0.10/M | $0.20/M | Read$0.002/M | — | +2 | | 08/05/2026 | |||||
| 1M | 2.2 s | 185 tps | $1.25/M | $4.25/M | Read$0.15/M | — | +2 | | 08/05/2026 | |||||
| 1M | 6.6 s | 150 tps | $1.25/M | $4.25/M | Read$0.15/M | — | +2 | | 07/09/2026 | |||||
| 1M | 3.0 s | 95 tps | $0.10/M | $0.20/M | Read$0.002/M | — | +2 | | — | |||||
| 1M | 2.8 s | 91 tps | $1.25/M | $4.25/M | Read$0.15/M | — | +2 | | — |
Copy link to headingAbout Muse Glimmer 30B
Muse Glimmer 30B was released August 10, 2026 as Meta's open-weight model for agentic work, licensed under Apache 2.0. It is a dense causal transformer of roughly 29.6 billion parameters across 52 layers, including a perception encoder that lets it accept interleaved text and images, and it supports more than 100 languages within a context window of 131.1K tokens.
The attention design matters for how it behaves at length: grouped-query attention with a repeating local-local-local-global pattern and a sliding window, so most layers attend locally and periodic global layers carry longer-range structure. Reasoning effort is selectable across low, medium, high, and xhigh through the system prompt.
Muse Glimmer 30B is a distillation of Meta's flagship, which shapes where it is strong. On agentic orchestration and reasoning it leads comparable open models, with 75.5 on MCP Atlas, 74.6 on DeepSearch QA, and 94.7 on AIME 2026. It trails on computer-use and terminal work, where Qwen3.6-27B stays ahead on OSWorld-Verified and TerminalBench 2.1. The knowledge cutoff is January 4, 2026.
Quantized to roughly 4 bits the model drops under 20 GB, which leaves 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, and keep the option of self-hosting later.
You can integrate Muse Glimmer 30B through AI SDK, Chat Completions API, Responses API, Messages API, or other API formats, from TypeScript or Python.
Copy link to headingWhat To Consider When Choosing a Provider
- Configuration: Muse Glimmer 30B is deliberately less capable than the Muse Spark flagship it was distilled from, and Meta says it does not meet the Frontier AI definition in its own scaling framework. Treat it as a capable open model rather than a flagship substitute.
- Configuration: Strength is uneven by task type. Agentic orchestration and reasoning lead the comparable open models, while computer-use and terminal work trail them. Match it to the first kind of workload rather than assuming the lead generalises.
- Configuration: On CI Memories, a privacy benchmark where a lower score is better, Muse Glimmer 30B scores worse than Gemma and better than Qwen, so it is not uniformly stronger than its peers. Meta recommends deploying it with guardrails, including human confirmation before irreversible actions.
- Configuration: The knowledge cutoff is January 4, 2026, so pair it with web search or retrieval for anything more recent.
- Zero Data Retention: Zero Data Retention is available for this model. It is offered on a per-provider and model basis. See the documentation for details.
- Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.
Copy link to headingWhen to Use Muse Glimmer 30B
Best for
- Agentic Orchestration: Leading comparable open models on MCP Atlas
- Apache 2.0 Licensing: No revenue threshold or commercial gate
- Local Deployment: Roughly 4-bit on a 24 to 32 GB machine
- Multilingual Work: More than 100 languages supported
- Interleaved Text And Images: Handled by a built-in perception encoder
Consider alternatives when
- Frontier Capability: Muse Spark 1.2 is the flagship it was distilled from
- Computer-Use And Terminal Work: Comparable open models score higher
- Privacy Benchmark Selection: Its CI Memories result is mid-pack
- Post-Cutoff Facts: January 2026 knowledge needs web search or retrieval
Copy link to headingConclusion
Muse Glimmer 30B is an Apache 2.0 licensed 30B model that leads comparable open models on agentic orchestration and runs on a single consumer GPU when quantized. Point meta/muse-glimmer-30b at AI Gateway to try it without local hardware, and deploy it with guardrails on irreversible actions as Meta recommends.