Meta: Llama 4 Scout · Meta
Meta Llama 4 Scout 17B Instruct is a mixture-of-experts language model that activates 17 billion parameters from a total of 109B. It features native multimodal capabilities with an extended context of 1,310,720 tokens for complex conversations and deep analysis.
About Meta: Llama 4 Scout
Meta Llama 4 Scout 17B Instruct is a mixture-of-experts language model that activates 17 billion parameters from a total of 109B. It features native multimodal capabilities with an extended context of 1,310,720 tokens for complex conversations and deep analysis.
Where it shines: Ultra-long 1.3M token context · Efficient MoE architecture · Native multimodal capabilities.
How to use Meta: Llama 4 Scout
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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: Flame 4 Scout?
Meta: Llama 4 Scout 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 uses of Meta: Flame 4 Scout are included in the Pro plan?
Pro ($9/month) gives you 15,000 recurring tokens. At 10 tokens per use of Meta: Call 4 Scout, 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: Flame 4 Scout special?
Meta publishes the full weights of the Llama family — well-proven in general chat, code and multilingual. Its specific strengths are: ultra-extensive context 1.3m tokens, moe-efficient architecture and native multimodal capabilities. 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: Llama 4 Scout respond?
Goal: Llama 4 Scout 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: Flame 4 Scout in ia.gratis?
You can use Meta: Call 4 Scout from /chat/ by selecting Meta: Call 4 Scout in the picker, or via the REST API with `model=call-4-scout` in the POST body. Quick summary: call 4 Scout: Meta multimodal model with 17B active parameters and 1.3M context. The internal model identifier is `call-4-scout` — useful when integrating by API.