Llama 4 Scout
Release Date: Apr 5, 2025 Creator: Meta
Llama-4 is a multimodal model by Meta.
Access Llama 4 Scout securely with complete privacy. Our local-first approach means your text chats and prompts are stored exclusively on your browser via IndexedDB, never on a remote server. When you delete a chat, it is permanently wiped locally, and we ensure zero prompt training is used across all model endpoints.
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| Model Specifications | ||
|---|---|---|
| Knowledge Cutoff | August 2024 | N/A |
| Context (VividLLM) | 32,000 Tokens | N/A |
| With a context window of 32,000 tokens, this model can 'remember' and analyze up to 48 pages of data at once. This makes it a top choice for reviewing legal contracts and dense academic chapters. | ||
| Context (Native) | 327,680 Tokens | N/A |
| Input Modalities | TextImagePDF | TextImagePDF |
| Tool Calling | yes | N/A |
| Output Type | Text | Text |
| Default Max Output | 8192 | 8192 |
| Input Weight | 0.500 x (Casual) | N/A |
| Output Weight | 0.500 x (Casual) | N/A |
Disclaimer: We are providing Image Upload options to only limit models as of now, so some models which have image upload options might now have that feature on our site.