Meta: Muse Spark 1.1
Meta's Muse Spark 1.1 is a versatile AI model capable of processing text, images, videos, files, and audio inputs within an extensive context length of up to 1048576 tokens. It supports both reasoning and the use of external tools, though it does not generate structured outputs. This model is designed for users requiring a broad range of input types and some level of interactive processing capabilities. Given its robust feature set, Muse Spark 1.1 could be suitable for professionals who handle multimedia content or require advanced reasoning tasks. However, with no independent benchmark coverage yet, potential users should consider the cost: $1.25 per million input tokens and $4.25 per million output tokens. For now, it remains unproven in comparative testing, making it a choice more for those willing to invest in a feature-rich model until broader validation is available.
- Model ID
- meta/muse-spark-1.1
- Vendor
- meta
- Tokenizer
- Other
- Input Modalities
- text, image, video, file, audio
- Output Modalities
- text
- Max Output
- default
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- ✓ accepts images
- Audio
- ✓ accepts audio
- Moderated
- yes
Strong choice for
Category rankings
Where Meta: Muse Spark 1.1 places across the 4 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #1 | TTS ReplacementVoice · of 19 ranked | 115 |
| #8 | TranscriptionVoice · of 19 ranked | 115 |
| #8 | Audio SummarizationVoice · of 19 ranked | 139 |
| #21 | Video SummarizationVideo · of 25 ranked | 139 |