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Muse Glimmer 30B (Meta)

MetaReleased Aug 10, 2026Open weights · Apache 2.0muse-glimmer-30b

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Reasoning
yes, with effort levels
Knowledge cutoff
January 2026
Context
131K tokens
Max output
16k tokens
Input
text, image, video
API features
tools, structured outputs, JSON mode, seed

Read Oct 23, 06:00 UTC from the hosts' published offers and OpenRouter, spec sheet from Meta · cutoff: huggingface.co

Lowest input, per M$0.30at DeepInfra
Cheapest cache, per M$0.04at DeepInfra
Fastest91 tok/sat Together AI, on OpenRouter
Providers2serve this version

Run it yourself

open weights, Apache 2.0 · fits 6 of the 6 workstations in our guideSelf-host guide ›
Parameters
29.78B
dense
Memory needed
18 GB
in INT4 · 36 GB in INT8
Smallest cloud setup
RTX 3090
24 GB · $0.17/h, about $124 a month
Worth it above
83M tokens
a month, against the cheapest API at $1.50 per M
QuantizationMemorySmallest cloud GPUQuality
INT4 (Q4)18 GBRTX 3090 · $0.17/hsmallest footprint, minor quality loss
INT8 (Q8)36 GBA100 · $1.19/hnear-lossless
FP16 (full)72 GBA100 · $1.19/hreference quality

At home: in INT4 it fits a RTX 5090 (32 GB) + host PC (plus a host PC), about $3,500 once, or $0.1332/h over 3 years, electricity aside; it pays for itself after about 2B tokens against the cheapest API.

Memory ≈ parameters × bytes per parameter × 1.2 · cloud price: on-demand rate, running 24/7 · builds: GGUF, AWQ, MLX, GPTQ, Ollama · break-even calculator

Sorted by cache price
ProviderInputOutputCache ↑tok/sFirst tokenUptime 24hChecked
DeepInfrabf16 · 128K ctx · 16K out$0.30$1.20$0.04342.35 s100%Oct 23
Together AIfp8 (bf16) · 128K ctx$0.35$1.50$0.04910.26 s98.8%Oct 23

2 of 2 providers · prices per million tokens, read Oct 23, 06:00 UTC · speed: OpenRouter, median of the last 30 min, read Oct 23, 06:00 UTC · uptime: OpenRouter, last 24 h · under each host: weights precision, context and max output as served, the maker's value in brackets when the host's differs

ProviderWeightsContextMax outputToolsStructured outputsReasoning
DeepInfrabf16128K16Kyesyesyes
Together AIfp8128Knot stated by the hostyesyesyes

Weights, context and max output: read at each host's own catalogue or docs where its terms allow, otherwise as the host declares to OpenRouter; hover a cell for its source and date · tools, structured outputs, reasoning: as declared to OpenRouter · not verified by us

Muse Glimmer 30B (Meta) spec sheet, field by field, with sources

Muse Glimmer 30B (Meta) spec sheetmaker-declared

What Meta declares about the model itself — read from its own weights repository and documentation, not from any host. What each endpoint actually serves is in the pricing above: the two can differ, and both are true.

Context window
131,072 tokens
Parameters
29,776,626,688≈ 29.8B
Active experts
none declared in the weights
Weight precision
BF16
License
Apache 2.0 — open weights, permissivecurated · read 2026-10-12Scope: the licence on the published weights, and nothing else. It is not the maker's acceptable-use policy, which is a separate document, and it is not the contract you sign with whichever host you call — hosts set their own terms, which this index does not read.
Knowledge cutoff
January 2026maker's docs · read 2026-10-12
Modalities
text · image · video
Max output (official)
not published by the makermaker's docs · read 2026-10-12
Release date
August 10, 2026maker's docs · read 2026-10-12
Maker lifecycle status
not published by the makermaker's docs · read 2026-10-12

Also declared in the weights

Architecture class
MuseGlimmerForConditionalGeneration
Layers
52
Vocabulary
202,048 tokens
Weights first published
August 9, 2026
Weights last updated
August 11, 2026

meta-models/Muse-Glimmer-30B · config.json @ a4e59da · read 2026-10-12 · 7 of 10 fields published by the maker

ProviderChatbot 1,000 in / 500 outRAG / long context 8,000 in / 500 outBatch summarize 4,000 in / 1,000 out
DeepInfra$0.90$3.00$2.40
Together AI$1.10$3.55$2.90

What each host bills for 1,000 requests of a representative job

Your own workload

    Other Meta models · all its models, hosts and history ›