Muse Glimmer 30B TEE
Meta's Muse Glimmer 30B is a dense, open-weight multimodal model for long-horizon agentic and coding workflows. Running inside a TEE (Trusted Execution Environment), with provider attestation support.
- Reasoning
- Vision
- Tool Calling
- Structured Output
Added Aug 13, 2026
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.35
- Output
- $1.50
- Cache read
- $0.040
Specifications
- Context window
- 131.1K
- Max output
- 131.1K
- Parameters
- 30B
- Avg output (7d)
- 1.2K tokens
- Longer than 77% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
17.5
Coding Index
49.0
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
6.8%
Better than 32% of models compared
AutomationBench-AA Tasks Completed
Fully completed workflows without guardrail violations
0.8%
Better than 7% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
477 Elo
Better than 22% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
790 Elo
Better than 36% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
10.0%
Better than 40% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
83.3%
Better than 96% of models compared
MLCR-AA
Medical long-context reasoning
20.0%
Better than 68% of models compared
Reasoning
HLE
Humanity's Last Exam
22.0%
Better than 69% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
0.5%
Better than 35% of models compared
SciCode
Python programming for scientific computing
44.9%
Better than 38% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
83.5%
Better than 74% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
83.3%
Better than 96% of models compared
Last updated Oct 12, 2026
Artificial AnalysisProviders
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