Meta: Muse Glimmer 30B is Meta's model. Its measured tokenizer sits with the Llama4 group, which is evidence that it builds on the Llama4 tokenizer. Tokenizer reuse is normal engineering, open vocabularies travel between labs, and this says nothing against Meta's authorship of the model itself.
| Signal | Result | Reference |
|---|---|---|
| Tokenizer signature | Clean measurement; no exact match yet | tk_20b9d005 |
| API surface | No other entry shares this exact contract | api_34957353 |
| Context and output | 131,072 context · 131,072 max output | declared |
| Reasoning contract | Mandatory · efforts xhigh, high, medium, low · default medium | declared |
| Serving providers observed | Fireworks | measured 21 August 2026 |
Click a row to open the full comparison.
An x marks a row excluded as corrupt (caching or provider interference detected during measurement). Overhead subtracted: 56 prompt tokens.
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...
Supported parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
defaults: {"temperature":1,"top_p":0.95,"top_k":64}
Cite this page as the evidence record for Meta: Muse Glimmer 30B: the URL is stable, measurements are dated, and revisions append to the history above. Method: tokenizer fingerprinting, v1, 50 strings. The raw data behind every figure is on the data page.
