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meta/muse-glimmer-30bCatalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
Meta 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...
Muse Glimmer 30B earns a request when it needs step-by-step reasoning, tool calls, image input; a short, general request would go to MiniMax M3.1 Flash (free) instead - free per million input tokens against $0.30 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points.
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs Muse Glimmer 30B
targets:
- id: muse-glimmer-30b
kind: llm
name: Muse Glimmer 30B
metadata:
model: meta/muse-glimmer-30b # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 131072
cost:
usd_per_1k_tokens: 0.000750Input list price per million tokens; Muse Glimmer 30B is the 3rd cheapest of 8 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project
Cached input reads $0.04 per 1M · weights on Hugging Face as meta-models/Muse-Glimmer-30B
A higher intelligence index, best first, with the price it comes at.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.