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Last scan 2026-08-31 Models tracked 240 Providers 31 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Muse Glimmer 30B

by Together · 30B parameters

Current new · 22d budget open weights cheap tier
Availability: This is Together's price for hosting Meta's model, not a price from Meta. Meta does not sell Muse Glimmer per token at all — its own Model API rate card (ai.developer.meta.com/docs/pricing-rate-limits, read 2026-08-28) prices only muse-spark-1.1/1.2 and muse-spark-1.2-contributor, and ships Glimmer as open weights under Apache 2.0. Fireworks publishes the same $0.35/$1.50 for it. The 131,072-token window is what Together's own serverless-models card lists for meta-models/Muse-Glimmer-30B.

Today's price · per 1M tokens

Input

$0.350

per 1M tokens

Output

$1.50

per 1M tokens

Blended

$0.637

blended $/1M — 3:1 weighted input:output

Cached input

$0.040

11% of input — prompt caching

Source: official Together pricing · read Aug 28, 2026 MODELPRICEWATCH.COM · 2026-08-31

Price receipt

We read Together's own pricing page on Aug 31, 2026 and found Muse Glimmer 30B listed with a price on the same row — that read is where the number above comes from, recorded as a new model. We keep the page text we read; its content hash is 3655f66d8a.

Muse Glimmer 30B is available on 2 hosts. See the full cheapest-first comparison on the consolidated Muse Glimmer 30B page →

Overview

Meta's open-weights Muse Glimmer 30B on Together serverless. $0.35/$1.50 per 1M tokens; cached input $0.04. Together serves it at 131,072 tokens in FP8.

Run it yourself

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Capabilities

struck through = not supported
Input 1/5
Text Image Audio Video PDF
Output 1/5
Text Image Audio Video Embedding
Features 3/9
Prompt caching Reasoning Coding Fast inference Long context Open weights Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 33.3th3 independent measurements
Percentile per $/Mtok 52

We hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA Intelligence Index: 35.1 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA Agentic Index: 22.9 (Tool use, planning, autonomy)
  • AA-Omniscience Index: -32.9 (−100–100)
How it stacks up
  • Ranks #105 of 172 comparably-measured models by percentile score, across 3 independent measurements
  • Ranks #49 of 172 comparably-tested models by normalized performance per dollar

Source: Artificial Analysis · updated Aug 31, 2026 · See full rankings →

Specifications

Provider
Together
Context window
131K tokens
Modality
text
Parameters
30B
Open source
Yes — open weights available
Released
Aug 9, 2026
Status
Current
Last updated
Aug 28, 2026
Tags
open-weightsbudgetcaching

Availability verified: Aug 28, 2026 — listed on Together's own page