Developers building computer-use agents with long context can use it, though Spark 1.3 has since replaced it at the same price.
Kenning's take
What it does
Muse Spark 1.1 is a multimodal reasoning model for agent tasks that can manage a context window of 1 million tokens, compacting earlier work while keeping the important steps. Meta says it is better at computer use across several applications and at work on large codebases. It launched in Thinking mode in the Meta AI app and on meta.ai, and through the Meta Model API in public preview.
- 1 million token context window with active compaction
- Computer use across multiple applications
- Better work on large codebases
- Image, video and audio understanding
Who it suits. Developers building agents on Meta's models, and Meta AI users of Thinking mode.
Key facts
- Category
- AI models
- Part of
- Meta AI
- Made by
- Meta (Meta Superintelligence Labs)
- Released
- 9 July 2026
- How to get it
- Thinking mode in the Meta AI app and on meta.ai, and through the Meta Model API as muse-spark-1.1
- Works on
- Web, iOS, Android, API
- API price
- $1.25 per million input tokens, $4.25 per million output, $0.15 cached input (Standard tier); Contributor tier $0.10 input and $0.20 output in exchange for allowing training on prompts
FAQ
When was Muse Spark 1.1 released?
Meta announced it on 9 July 2026.
How big is the Muse Spark 1.1 context window?
1 million tokens.
How much does Muse Spark 1.1 cost?
$1.25 per million input tokens and $4.25 per million output tokens on the Meta Model API.
Facts from the maker's own pages and the sources listed. Checked 2026-10-11.
Similar tools
Meta Llama models
Meta's family of downloadable large language models, from Llama 2 to the multimodal Llama 4
Muse Glimmer
Meta's open-weight 30B model for running AI agents locally on a Mac or PC with one consumer GPU
Muse Image
Meta's in-house image model that plans a layout before drawing, used in Meta AI and the Meta Model API
Muse Spark
The first model from Meta Superintelligence Labs, a multimodal reasoning model behind the Meta AI app