Meta: Muse Glimmer 30B

Text input Image input Text output
Author's Description

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...

Key Specifications
Cost
$$$$
Context
131K
Parameters
30B
Released
Aug 09, 2026
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Reasoning Include Reasoning Frequency Penalty Tools Top P Logit Bias Min P Stop Presence Penalty Max Tokens Temperature Tool Choice Response Format Structured Outputs
Features

This model supports the following features:

Structured Outputs Response Format Reasoning Tools
Performance Summary

Meta: Muse Glimmer 30B, a dense, open-weight multimodal model, demonstrates a balanced performance profile with notable strengths in reliability and specific accuracy benchmarks. It exhibits moderate speed performance, ranking in the 34th percentile, and offers moderate pricing, positioned in the 33rd percentile across six benchmarks. A standout feature is its exceptional reliability, achieving a 100% success rate with minimal technical failures, ensuring consistent and usable responses. The model excels in General Knowledge, achieving perfect 100% accuracy, making it the most accurate model at its price point and among models of comparable speed. It also shows strong performance in Coding (95% accuracy, 90th percentile) and Email Classification (99% accuracy, 80th percentile), indicating robust capabilities in structured tasks and domain-specific understanding. While its Instruction Following accuracy is respectable at 73% (72nd percentile), its Hallucinations benchmark, at 94% accuracy, suggests a good ability to acknowledge uncertainty, though there's room for improvement to reach perfect non-hallucination. Ethics performance is solid at 99% accuracy, placing it in the 50th percentile. Overall, Muse Glimmer 30B is a highly reliable model with strong accuracy in knowledge-based and classification tasks, making it well-suited for autonomous agents on consumer hardware, despite its moderate speed and pricing.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.35
Completion $1.5
Input Cache Read $0.04

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Together
Together | meta/muse-glimmer-30b-20260810 131K $0.35 / 1M tokens $1.5 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
Other Models by meta