--- title: "Meta: Muse Glimmer 30B — unrated, priced in this catalogue · Undominated.ai" canonical: https://undominated.ai/models/meta__muse-glimmer-30b/ description: "Meta: Muse Glimmer 30B: $0.300/M in, $1.20/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero." --- # Meta: Muse Glimmer 30B — unrated, priced in this catalogue · Undominated.ai > Meta: Muse Glimmer 30B: $0.300/M in, $1.20/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero. [Check base rates for this workload](/check/meta__muse-glimmer-30b/) [Cheaper alternatives](/alternatives/) [Family](/families/muse/) [Compare models](https://undominated.ai/compare/?models=meta%2Fmuse-glimmer-30b) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # Muse Glimmer 30B Meta · 09 Aug 2026 Balanced Summarise Chat Code gen Agentic NOT INDEPENDENTLY RATED ## No independent LMArena score is published for this model. **$0.525** / 1M tokens Balanced · 3 tokens in per 1 out Serving precision differs between offers. Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) [Vendor cross-check](https://openrouter.ai/api/v1/models) Independent LMArena score Not independently rated Context window 131.07K Maximum output 16.38K Input modalities text, image Output modalities text Published input price $0.300 / 1M tokens Published output price $1.20 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from DeepInfra: the cheapest offer that is serving, at standard delivery and at a declared precision that is not 4-bit (bf16), at its standard rate. The maker’s own precision is not known. Cheaper right now: $0.500/M at Phala — precision not disclosed It does not pass the like-for-like test, so it never sets a rank. Every price dimension · USD per million tokens | Input | $0.300 /M | | --- | --- | | Output | $1.20 /M | | Cached input | $0.040 /M | | Cache write | Unknown /M | | Cache write 1h | Unknown /M | | Reasoning | Unknown /M | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.300/M from DeepInfra. 3 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller DeepInfra deepinfra/bf16 Endpoint terms Cached input /M $0.040 Context limit 131,072 tokens Output limit 16,384 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 98.15% | Input $0.300 | Output $1.20 | Precision bf16 | Uptime (1d) 96.83% | | Seller Phala phala Endpoint terms Cached input /M $0.040 Context limit 131,072 tokens Output limit 117,964 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.94% | Input $0.300 | Output $1.10 | Precision undeclared | Uptime (1d) 99.88% | | Seller Together together Endpoint terms Cached input /M $0.040 Context limit 131,072 tokens Output limit 117,964 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 97.75% | Input $0.350 | Output $1.50 | Precision undeclared | Uptime (1d) 97.70% | ### Independent scores No independent benchmark has measured this model. Unrated is not a score of zero. ### Capability | Context window | 131K | | --- | --- | | Max output | 16K | | Input modes | text, image | | Tool use | yes | | Reasoning | always on | | Open weights | yes | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | unrated | | Cross-checked | [vendor page](https://openrouter.ai/api/v1/models) | 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... ## Questions this page answers What does Muse Glimmer 30B cost? $0.300/M in, $1.20/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does Muse Glimmer 30B have an independent quality score? Muse Glimmer 30B has no independent quality score in this catalogue. Unrated is not a score of zero. What beats Muse Glimmer 30B? Muse Glimmer 30B has no independent quality score. Unrated is not a score of zero. Does this page use Artificial Analysis scores for Muse Glimmer 30B? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. Does a missing score mean Muse Glimmer 30B scored zero? Unrated is not a score of zero. Is the cheapest Muse Glimmer 30B endpoint the same product? Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.300/M from DeepInfra. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options Meta: Muse Glimmer 30B. Balanced workload. Not independently rated. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related No independent quality score, so there is no dominator to name. Unrated is not a clean bill of health. - Same vendor [Muse Spark 1.3](/models/meta__muse-spark-1.3/) - Meta models [Meta](/providers/meta/) - Where this model appears [wire](/wire/) - Same vendor [Muse Spark 1.2](/models/meta__muse-spark-1.2/) - Where this model appears [self-host](/self-host/) - Same vendor [Muse Spark 1.1](/models/meta__muse-spark-1.1/) - Where this model appears [effort](/effort/) - Where this model appears [spreads](/spreads/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. 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