Model
Muse Glimmer 30B
Muse Glimmer is a 30-billion-parameter open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for always-on local agents, tool use, coding, and image understanding.
Compare providers (sorted by listed input price)
8 of 10 providers publish a price for Muse Glimmer 30B. The cheapest full-context option is EmpirioLabs AI at $0.2/$0.8 per M. Listed prices span 7.8× for identical weights.
Best price history
Daily lowest published price across live providers. A lower line is better for the buyer.
- Best input /M
- $0.2unchanged
- Best output /M
- $0.8unchanged
- Provider coverage
- 14
- 14 at the start · 24 snapshots
Published best prices are unchanged.
24 daily snapshots collected from Aug 21, 2026 through Sep 14, 2026. A price chart will appear after the first real move.
Price badge
https://www.vaanalytics.in/badge/meta/muse-glimmer-30b.svgLive SVG, regenerated on every hourly sync — paste it into a README to always show the current cheapest listed price. Updates when prices change; no build step needed on your side.
Recent changes
Changelog →- repricedvia openrouter · Sep 13, 2026
- input: $0.3 → $0.35
- output: $1.10 → $1.50
- capabilityvia edenai · Sep 7, 2026
- name: Muse Glimmer 30B → Muse Glimmer 30B (Together AI)
- capabilityvia edenai · Sep 7, 2026
- name: Muse Glimmer 30B → Muse Glimmer 30B (FlexAI)
- capabilityvia edenai · Sep 7, 2026
- name: Muse Glimmer 30B → Muse Glimmer 30B (Deep Infra)
- capabilityvia edenai · Sep 7, 2026
- name: Muse Glimmer 30B → Muse Glimmer 30B (Fireworks AI)
- contextvia nano-gpt · Sep 3, 2026
- output: 131K → 118K tokens
Benchmarks
- MCP Atlas(success rate)report ↗Unclassified source75.5
- DeepSearch QAreport ↗Unclassified source74.6
- SWE-Bench Pro ↗(resolve rate)report ↗Unclassified source51.2
- SWE-Bench Verified ↗(resolve rate)report ↗Unclassified source76
- Terminal-Bench ↗(success rate)report ↗Unclassified source51.7
- OSWorld-Verified ↗(success rate)report ↗Unclassified source65.9
- AIME 2026(accuracy)report ↗Unclassified source94.7
- GPQA Diamond ↗(accuracy)report ↗Unclassified source83.5
- CharXiv Reasoning(accuracy)report ↗Unclassified source78.8
Scores a lab published about its own model are claims, not measurements. Rankings elsewhere on this site use independently measured scores only.
Weights
Standard open-source terms. Commercial use without additional conditions. Weights download without an access request.
licence and gating from the Hugging Face model card ↗ — the card is authoritative, this is a summary
Prices are per million tokens (USD). “—” means the provider does not publicly list a price for this model. Data from models.dev; verify with the provider before purchasing.