Muse Glimmer 30B
Muse Glimmer is a 30-billion-parameter open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for always-on local agents, tool use, coding, and image understanding.
- Strongest at
- Writing Top 36% of the past year's models · one benchmark so far
- Price per 1M tokens
- $0.3 / $1.2 input / output · OpenRouter
- Context window
- 131.1K tokens in · 131.1K out
Capability profile
Scored against 91 models released in the past year. 50 is the average model; further out is better.
No results yet: Coding, Reasoning, Math, Science, Computer use
Where these scores come from
Each capability combines the published benchmarks listed here, rescaled so 50 is the reference average and 15 points is one standard deviation. A hollow dot rests on a single benchmark.
- Writing EQ-Bench Creative Writing v3
- Reading & documents GDP.pdf (Surge AI), Vision Evals: OCR & extraction (low effort)
- Visual reasoning Vision Evals (low effort), GDP.pdf (Surge AI)
Price against capability
The shaded corner holds anything better and cheaper. Prices blend input and output 3 to 1.
Nothing from the past year scores higher on Writing for less.
5 models from the past year score higher on Reading & documents for less: Qwen3.5 9B, DeepSeek V4.1 Flash, DeepSeek V4 Flash 0731 and 2 more.
5 models from the past year score higher on Visual reasoning for less: Claude Haiku 5.5, GPT-6 Luna, DeepSeek V4.1 Flash and 2 more.
OpenRouter $0.3 / $1.2 · Cached input $0.04
Meta's past year
8 release days in the past year, about one every 46 days. The next is expected around Dec 15, 2026. Forecasts ↗
Specifications
Specifications and prices from Models.dev; availability and limits may differ by provider. Benchmarks from Epoch AI (CC BY 4.0), LiveBench and the other sources named above.