metaListed Aug 9, 2026

Meta: Muse Glimmer 30B

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...

Context window131.1K
Max output16.4K
Parameters30B
Provider endpoints7
Benchmark results0
Measured performance

Benchmark results

All leaderboards ↗
—

No published results in this index yet

Scores appear here when an evaluation matches this exact model.

Access & cost

Prices across providers

7 quotes

Your token mix

USD · listed token rates

OpenRouter

Catalog quote
Input
$0.30
Output
$1.20
Cached input
$0.04
USD / 1M tokens
131.1K context16.4K max outputPrice source ↗Checked Oct 18, 2026
Endpoint IDmeta/muse-glimmer-30b
Input
$0.30
Output
$1.20
USD / 1M tokens
131.1K contextPrice source ↗Checked Oct 18, 2026
Endpoint IDmeta-models/Muse-Glimmer-30B

together

via Hugging Face
Input
$0.35
Output
$1.50
USD / 1M tokens
131.1K contextPrice source ↗Checked Oct 18, 2026
Endpoint IDmeta-models/Muse-Glimmer-30B

deepinfra

via Hugging Face
Input
$0.30
Output
$1.20
USD / 1M tokens
131.1K contextPrice source ↗Checked Oct 18, 2026
Endpoint IDmeta-models/Muse-Glimmer-30B

DeepInfra

via OpenRouter

deepinfra/bf16 · quantization=bf16

Input
$0.30
Output
$1.20
Cached input
$0.04
USD / 1M tokens
131.1K context16.4K max outputPrice source ↗Checked Oct 17, 2026
Endpoint IDmeta/muse-glimmer-30b::deepinfra/bf16

Together

via OpenRouter

together

Input
$0.35
Output
$1.50
Cached input
$0.04
USD / 1M tokens
131.1K context118K max outputPrice source ↗Checked Oct 17, 2026
Endpoint IDmeta/muse-glimmer-30b::together

Model specifications

Developer
meta
Modality
Language
Context
131,072 tokens
Maximum output
16,384 tokens
Weights
Open weights
Provider listed
Aug 9, 2026
First discovered
Oct 16, 2026

Exact identities

  • openroutermeta/muse-glimmer-30b
  • deepinframeta-models/Muse-Glimmer-30B
  • huggingfacemeta-models/Muse-Glimmer-30B

Sources

Updated Oct 18, 2026

More from meta

View all ↗
metaListed 5 days ago

Meta: Muse Wonder

Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...

1M contextImage inputAudio inputNo reported score
No reported score
$4.00in$20.00out/ 1M tokens · USDMeta · via OpenRouter · 2 endpointsmeta
metaListed Sep 11

Meta: Muse Voice Transcribe 1.0

Muse Voice Transcribe 1.0 is a synchronous speech-to-text model from Meta. It is suited for push-to-talk, endpointing, and speaker-aware transcription, with keyword biasing for domain terms and language…

Audio inputNo reported score
No reported score
$50.00in$0.00out/ 1M tokens · USDOpenRouter
metaListed Sep 2

Meta: Muse Spark 1.3 Contributor

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is…

1M contextImage inputVideo inputNo reported score
No reported score
$0.10in$0.20out/ 1M tokens · USDMeta · via OpenRouter · 2 endpointsmeta