Skip to content
llmwaves

Muse Glimmer 30B

Meta · released Aug 9, 2026

Open weightsReasoningTool useStructured outputVision

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...

Specification

Context window
131K
Max output
16K
Knowledge cutoff
Not stated
Parameters
29.8B
Licence
apache-2.0
Serving providers
2
Moderated
No
Uptime
100.0%

Intelligence

—

Not benchmarked

Coding

—

Coding Index

Agentic

—

Agentic Index

Output speed

130 t/s

Median across providers

Latency

640ms

Time to first token

Cost per task

$0.11

Estimated

Benchmarks

Where the score comes from

The Intelligence Index is a composite. These are the underlying evaluations this model was actually measured on.

Evaluation scores

This model has not been put through the benchmark suite. Its speed, latency and pricing figures below are still measured.

Against its peers

Intelligence Index · this model highlighted, nearest peers in grey

Peers are the models sitting closest on the Intelligence Index — the set you would realistically choose between.

View as table
ModelIntelligence
Qwen3.8 Max58.1
Claude Opus 5.557.6
Claude Sonnet 5.556.0
Claude Fable 5.153.4
GPT-6 Astra52.7
Gemini 4 Argon52.6
Muse Wonder52.4

Pricing

What it costs to run

List prices per million tokens, plus what one representative task works out to.

List price

Input / 1M tokens
$0.3
Output / 1M tokens
$1.2
Cached input / 1M
$0.04
Blended 3:1
$0.525

One task, estimated

$0.11

Input tokens
50,000
Output tokens
80,000
Profile
Reasoning

Estimated from list pricing: 50K input tokens plus 80K output tokens for reasoning models (25K for non-reasoning).

Serving providers

Speed and latency figures are medians across these providers, so a widely-served model reports a blend rather than any single endpoint.