Meta's Muse Glimmer 30B is a dense, open-weight multimodal model distilled from Muse Spark for long-horizon agents and coding workflows. It supports multi-step reasoning, reliable tool use, failure recovery, image understanding, and more than 100 languages.
Added Aug 11, 2026
Model weightsContext Window
131.1K
Max Output
131.1K
Input Price (Auto)
$0.35/1M
Output Price (Auto)
$1.50/1M
Cache Read (Auto)
$0.040/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and 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 36% of models compared
AutomationBench-AA Tasks Completed
Fully completed workflows without guardrail violations
0.8%
Better than 13% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
490 Elo
Better than 26% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
774 Elo
Better than 43% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
10.0%
Better than 42% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
83.3%
Better than 98% of models compared
MLCR-AA
Medical long-context reasoning
20.0%
Better than 70% of models compared
Reasoning
HLE
Humanity's Last Exam
22.0%
Better than 73% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
0.5%
Better than 40% of models compared
SciCode
Python programming for scientific computing
44.9%
Better than 43% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
83.5%
Better than 73% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
83.3%
Better than 98% of models compared
Last updated Sep 20, 2026
Artificial AnalysisProviders
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