Meta Muse Glimmer 30B
Muse Glimmer 30B is Meta Superintelligence Labs’ first Open Weights model under the Apache 2.0 license (August 10, 2026), optimized for always-on local agent workflows. The dense 30-billion-parameter model with an additional 1.8-billion-parameter vision encoder processes text and images, runs on a single consumer GPU or Mac, and offers 131,072 tokens of context with a ‘High Reasoning’ reasoning mode.
- Open Weights
- Desktop
- OpenRouter
- Text
- Vision
- Agentic Orchestrator
- Interactive
Sovereign Risk: LOW Meta is a US company and subject to the CLOUD Act. However, Muse Glimmer 30B is Meta’s first model ever released under the open Apache 2.0 license with fully public weights; when run locally on own hardware, any dependency on US cloud infrastructure is eliminated, which is why the risk is rated as low despite US jurisdiction.
Key metrics
Score · Latency · Cost · Quality
- Total Score Silver
- 72.77
- Routine
- 44.54
- Reasoning
- 28.24
- LLM Judge Avg
- 3.57 / 5
- 100 Coverage
- Avg Task Duration
- 23.29s
- Interactive
- Token Rate
- 61.83tok/s
- Output Rate
- P95 Latency
- 48.77s
- Top 5 %
- Total Tokens
- 121100
- Output Volume
- Cost per 1K
- $0
- USD / 1K Requests
- Benchmark Cost
- $0
- Total · 121100 tok
Benchmark modules
10 modules · weighted · vs. model median & top performer
Token efficiency & latency
Consumption per module vs. model median
Token consumption per module
Performance profile
Key metrics – legend
Score
- Total Score
- Overall score derived from Routine and Reasoning scores. Basis for the fleet rank and tier assignment (Gold / Silver / Bronze).
- Routine
- Score for standard tasks: code generation, text transformation, structured outputs. Weighted by task complexity.
- Reasoning
- Score for analytical and logical tasks: multi-step problem solving, mathematical reasoning, structured argumentation.
- Rank
- Position in the fleet comparison, sorted by Total Score. Refers to the snapshot at the time of testing.
LLM Judge
- LLM Judge Ø
- Average quality rating by an independent judge model on a scale of 1–5.
- Coverage
- Share of tasks for which a judge rating is available. 100% means all responses were evaluated.
Latency & speed
- Avg. Task Duration
- Average time per task from the first to the last token of the response, measured across all benchmark tasks.
- Token Rate
- Output speed in tokens per second. Relevant for interactive applications and real-time streaming.
- P95 Latency
- 95th percentile of response times — shows outliers. Lower values mean fewer long wait times in edge cases.
Cost
- Cost per 1K
- API price per 1,000 output tokens in US dollars. Basis for cost calculation in production use.
- Benchmark Cost
- Total cost for the complete benchmark run of this model.