Meta: Muse Spark 1.1 · Meta
Muse Spark 1.1 is Meta's multimodal reasoning model built for agentic tasks. It processes text, images, video, audio, and PDF documents, delivering text responses with a 1-million token context window for comprehensive analysis.
About Meta: Muse Spark 1.1
Muse Spark 1.1 is Meta's multimodal reasoning model built for agentic tasks. It processes text, images, video, audio, and PDF documents, delivering text responses with a 1-million token context window for comprehensive analysis.
Where it shines: Complete multimodal processing · Extended 1M token context · Optimized for agentic tasks.
How to use Meta: Muse Spark 1.1
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Type or upload
Type what you want in the box above — or upload the file if the tool asks for one.
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Generate
Click the main button. Wait 2-30 seconds depending on the model and input size.
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Download or share
Download the result or share the direct link. No watermark, ready to use.
Frequently asked questions
How much does it cost to use Meta: Muse Spark 1.1?
Meta: Muse Spark 1.1 is a Pro model: it costs 23 tokens per use (~$0.12 real cost for us). You need a Pro plan ($9/month → 15,000 tokens) or a one-shot pack. If you already have tokens in the free account, you can also spend them directly.
How many uses of Meta: Muse Spark 1.1 are included in the Pro plan?
Pro ($9/month) gives you 15,000 recurring tokens. At 23 tokens per use of Meta: Muse Spark 1.1, that's ~652 full uses per cycle. If you run out, one-shot packs (5,000 / 25,000 / 80,000 tokens) add to the balance without expiring before one year.
What makes Meta: Muse Spark 1.1 special?
Meta publishes the full weights of the Llama family — well-tested in general chat, code and multilingual. Its specific strengths are: full multimodal processing, 1m tokens extended context and optimized for agent tasks. It accepts images as input (multimodal) as well as text — useful for describing captures, reading graphs or solving problems from a photo.
How fast does Meta: Muse Spark 1.1 respond?
Goal: Muse Spark 1.1 has a balanced speed: 5-15 seconds per response — neither the fastest nor the slowest in the catalog. Actual time depends also on the length of the prompt and the load of the datacenter — models with huge context take longer when you enter very long texts.
How do I use Meta: Muse Spark 1.1 on ia.gratis?
You can use Meta: Muse Spark 1.1 from /chat/ by selecting Meta: Muse Spark 1.1 in the picker, or via the REST API with `model=muse-spark-1-1` in the POST body. Quick summary: meta Muse Spark 1.1: Advanced multimodal model for agent tasks with 1M context. The internal model identifier is `muse-spark-1-1` — useful when integrating via API.