Meta: Muse Glimmer 30B
Meta's mid-tier model. Context window: 131K tokens.
Scores by test
Methodology →What you need to know
Meta: Muse Glimmer 30B is optimized for complex reasoning and high-precision formatting, achieving perfect scores in structured output, strategic analysis, and agentic planning. Its ability to handle tabular data and multilingual tasks makes it a strong candidate for data-heavy workflows, while its 131K context window is backed by a maximum internal score for long-context reliability.
The model is priced at a blended rate of $0.975/MTok, placing it in a mid-range cost tier. Given its rank of 59 out of 147 models and its high internal average of 4.46, the cost is proportional to its performance. However, developers should account for a significant gap between input ($0.30/MTok) and output ($1.20/MTok) pricing when calculating costs for verbose generations.
Technical limitations appear in tool calling and safety calibration. The low safety score indicates a tendency to over-refuse benign requests rather than a lack of guardrails. Additionally, the model is less reliable for tool-integrated workflows compared to its strengths in pure analysis and planning.
Use this model for strategic planning, complex data structuring, or multilingual long-context analysis. Skip this model if your application relies heavily on precise tool calling or requires a highly permissive safety profile to avoid false-positive refusals.
Strengths — Top 3
Relative weaknesses — Bottom 3
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