Model registry / Meta / Muse / Muse Spark 1.1
Muse Spark 1.1
Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.
Line
Muse
Weights
API only
Released
2026-04-08
Context
1.05M
Input
$1.25 / 1M
Output
$4.25 / 1M
Max output
131K
Coverage
not covered yet
Overview
Muse Spark 1.1 is a natively multimodal reasoning model from Meta. It supports tool-use, visual chain of thought, and multi-agent orchestration. It is the first version of the muse line in the registry. It has a context window of 1,048,576 tokens and a maximum output of 131,072 tokens. Pricing starts at $1.25 per million input tokens and $4.25 per million output tokens, with cached input from $0.15 per million tokens. The weights are not open. It accepts image, PDF, text, and video inputs, and returns text. It supports reasoning mode and tool calling.
Specs
Pricing
First version of its line in the registry.
Range across the hosts that serve it: up to $1.38 per 1M input tokens.
Strengths
- Natively multimodal: accepts image, PDF, text, video
- Supports tool-use and multi-agent orchestration
- Visual chain of thought for reasoning
- 1M token context window
- 131K token max output
Best for
- Reach for it for multimodal reasoning across images, PDFs, text, video
- Reach for it for tool-use and multi-agent orchestration
- Reach for it for long-context analysis with 1M token window
How to access
12 hosts serve this model at the price above · the maker's documentation
Muse: every version
The registry keeps the six most recent versions of a line. Older ones stay in the file and can be surfaced without a rebuild.
FAQ
- What is the context window?
- The context window is 1,048,576 tokens.
- What is the pricing?
- Pricing starts at $1.25 per million input tokens and $4.25 per million output tokens. Cached input costs from $0.15 per million tokens.
- Are the weights open?
- No, the weights are not open.