Meta: Muse Spark 1.3 Contributor · Meta
Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta's multimodal reasoning model for experimentation, learning, and early-stage agentic workflows. Designed to track information and enable multi-agent development with advanced coding capabilities.
About Meta: Muse Spark 1.3 Contributor
Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta's multimodal reasoning model for experimentation, learning, and early-stage agentic workflows. Designed to track information and enable multi-agent development with advanced coding capabilities.
Where it shines: Advanced multimodal reasoning · Agentic workflow support · Cost-efficient experimentation.
How to use Meta: Muse Spark 1.3 Contributor
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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 1.3 Contributor?
Meta: Muse Spark 1.3 Contributor is a Pro model: it costs 10 tokens per use (~$0.05 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 Meta: Muse Spark 1.3 Contributor uses are included in the Pro plan?
Pro ($9/month) gives you 15,000 recurring tokens. At 10 tokens per Meta: Muse Spark 1.3 Contributor use, that's ~1,500 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 1.3 Contributor special?
Meta publishes the full weights of the Llama family — well-proven in general chat, code, and multilingual. Its specific strengths are: advanced multimodal reasoning, agent workflows, and cost-effective experimentation. 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 1.3 Contributor respond?
Goal: Muse Spark 1.3 Contributor 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 1.3 Contributor on ia.gratis?
You can use Meta: Muse Spark 1.3 Contributor from /chat/ by selecting Meta: Muse Spark 1.3 Contributor in the picker, or via the REST API with `model=muse-spark-1-3-contributor` in the POST body. Quick summary: meta Muse Spark 1.3 Contributor: efficient multimodal model for experimentation and flows. The internal model identifier is `muse-spark-1-3-contributor` — useful when integrating by API.