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Muse Glimmer 30BOPEN
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.
Prices update automatically — checked daily against provider list prices.
- $0.52 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 32% of the 200 open-weight models tracked here
- 11 of 16 Meta models tracked here, from cheapest
Benchmarks & performance
Independent benchmark scores for Muse Glimmer 30B, measured by Artificial Analysis. Higher is better. Measurement mode: High.
Cheaper and better on this index: Claude Haiku 5.5 · Claude Haiku 5.5 (batch) · DeepSeek V4.1 Flash 1017 and 8 more
About this model
Muse Glimmer 30B is an open-weight AI model by Meta. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.
Frequently asked questions
What is Muse Glimmer 30B?
Muse Glimmer 30B is an AI language model from Meta. It is open-weight: you can download it and run it on your own hardware, for free. It scores 6.3 on the Artificial Analysis intelligence index.
Is Muse Glimmer 30B free?
The weights are free and open — you can self-host Muse Glimmer 30B and pay nothing per token. If you prefer a hosted API, list prices are $0.3 per million input tokens and $1.2 per million output tokens.
What is Muse Glimmer 30B good at?
Independent benchmarks from Artificial Analysis give it GPQA 83.5%, Humanity's Last Exam 22%, Long Context Reasoning 83.3%, SciCode 44.9%, τ-Bench Banking 23.5%, Terminal-Bench 51.7%. It is particularly used for code generation.
How fast is Muse Glimmer 30B?
It generates about 129.8 tokens per second, with a median 0.42s delay before the first token. Measured independently by Artificial Analysis.
Can I self-host Muse Glimmer 30B?
Yes. Muse Glimmer 30B has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.