Muse Glimmer 30B, the Meta model in numbers
Muse Glimmer 30B in numbers: price per token, context window, independent benchmark scores and comparable models, based on public data checked on October 22, 2026.
Data as of October 22, 2026
Key figures
| Developer | Meta |
|---|---|
| Released | August 10, 2026 |
| Knowledge cutoff | January 4, 2026 |
| Context window | 131,072 tokens (≈ 197 pages) |
| Maximum output | 131,072 tokens |
| Input price | $0.30 per million tokens (median of 13 providers) |
| Output price | $1.2 per million tokens |
| Open weights | Yes |
| Reasoning mode | Yes |
| Tool calling | Yes |
| Structured output (JSON) | Yes |
| Accepted inputs | text, image |
| Providers offering it | 13 |
Overview
Meta released Muse Glimmer 30B on August 10, 2026. It has a reasoning mode: it can "think" before answering, which helps with multi-step problems but uses more tokens, and therefore more money. It is an open-weight model: you can host it yourself on infrastructure you control, and 13 API providers listed on models.dev also offer it. That makes it 2 months old as of October 22, 2026.
We file it under open-weight models (68 models in this category on the site).
How much does Muse Glimmer 30B cost?
Muse Glimmer 30B costs $0.30 per million input tokens and $1.2 per million output tokens (median of 13 providers, checked on October 22, 2026).
In practice, an agent task that reads 20,000 tokens and writes 2,000 costs about $0.008, or $8.4 for 1,000 such tasks.
That is 1.2 times the median output price of open-weight models ($1).
To estimate your own budget, use the agent cost calculator.
Benchmark results
As of October 22, 2026, Epoch AI publishes no score for Muse Glimmer 30B on our basket's benchmarks. To place it, rely on its specifications and price, then test it on your own cases.
At Meta, the best-scoring model we track is Muse Spark 1.3, with an index of 82.7.
What it can do
Its context window reaches 131,072 tokens, roughly 197 pages of text at 500 words per page: enough for a medium-length document. A single answer can run to 131,072 tokens.
It accepts as input: text and image. Its knowledge stops at January 4, 2026: beyond that, it needs web search or your documents.
It can call tools (functions, APIs) and return structured JSON output, which makes it a possible foundation for an AI agent.
The weights are published on Hugging Face (meta-models/Muse-Glimmer-30B). See also our list of open-source models.
What is it good for?
Given its category, Muse Glimmer 30B is mainly aimed at projects where you want control over your data or hosting, or want to adapt the model to your field.
Before adopting it, test it on your own examples: benchmarks measure standard tasks, not your job.
Comparable models
In the same category, the models closest to Muse Glimmer 30B are:
- MiniMax-M3 (MiniMax, index 55.5)
- MiniMax-M2.7 (MiniMax, $1.2 per million output tokens)
- Step 3.7 Flash (StepFun, $1.21 per million output tokens)
- DeepSeek V3 0324 (DeepSeek, $1.1 per million output tokens)
Similar models
- MiniMax-M3 · MiniMax · index 55.5
- MiniMax-M2.7 · MiniMax
- Step 3.7 Flash · StepFun
- DeepSeek V3 0324 · DeepSeek
Other Meta models
- Muse Spark Open · October 15, 2026
- Muse Wonder · October 12, 2026
- Muse Spark 1.3 · September 2, 2026
- Muse Spark 1.2 · August 5, 2026
- Muse Spark 1.1 · April 8, 2026
- Llama-3.3-70B-Instruct · December 6, 2024
Frequently asked questions
How much does Muse Glimmer 30B cost?
As of October 22, 2026, Muse Glimmer 30B costs $0.30 per million input tokens and $1.2 per million output tokens (median of 13 providers). A task that reads 20,000 tokens and writes 2,000 costs about $0.008.
What is the context window of Muse Glimmer 30B?
131,072 tokens, roughly 197 pages of text. An answer can reach 131,072 tokens.
Is Muse Glimmer 30B open source?
Its weights are published: you can install it on your own servers. Check the license before commercial use.
When was Muse Glimmer 30B released?
Muse Glimmer 30B was released on August 10, 2026, according to models.dev.
Can you build an agent with Muse Glimmer 30B?
Yes: it can call tools and return structured JSON, the two basic building blocks of an agent.
Data sources
- Models.dev — Model data: models.dev (open-source project)
- OpenRouter — Market prices cross-checked with OpenRouter
- Hugging Face Hub — Data: Hugging Face Hub
Data as of October 22, 2026
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