Use AIFreeForever's Llama 4 Scout chatbot to get fast answers from the model. Read charts, scanned pages and long documents, and to get answers in 12 languages.
Llama 4 Scout is Meta's open AI model that reads images, charts and very long documents, released on 5 April 2025. Chat with Llama 4 Scout free on AIFreeForever and use it with skills like @Word and @PPT.
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Scores 94.4 on DocVQA, a test of answering questions about scanned documents, and 88.8 on ChartQA, a test of reading charts.
Meta gives it a 10M-token context window, the largest of any model on this page.
Scores 90.6 on MGSM, a test of school maths problems written in many languages.
Scores 69.4 on MMMU, a test of college-level questions about images, and 70.7 on MathVista, a test of maths shown in pictures.
and choose Llama 4 Scout.
or add @Word or @PPT for a file.
and ask follow-up questions.
Use Llama 4 Scout free, without downloading Meta's model.
Get the values from bar, line and pie charts.
Turn photos of letters and forms into text you can edit.
Ask about any part of a long report.
Ask and get answers in Arabic, Hindi, Spanish, Thai and more.
Meta's weights are free to download under its licence.
Type your question or upload a chart, scan or PDF, and Llama 4 Scout answers in the same chat. Use it to pull numbers from charts, turn scans into documents and summarise long reports.
Plain chat
@Word
Plain chat
Plain chat
@Ebook
@PPT Llama 4 Scout is free to download under Meta's Llama 4 Community License. OpenRouter charges $0.10 per million input tokens and $0.30 per million output tokens, and it's free on AIFreeForever.
Yes. You can use Llama 4 Scout free in three ways:
Llama 4 Scout is strongest at reading documents and charts, with 94.4 on DocVQA and 88.8 on ChartQA.
This benchmark was extracted from Meta.
Llama 4 Scout scored 32.8 on LiveCodeBench, its weakest result, so use GLM 4.7 Flash or MiniMax M3.1 Flash for code.
Llama 4 Scout has the largest context window below (10M tokens from Meta) and open weights.
Pick Llama 4 Scout for charts, scans and long documents. Pick Muse Spark 1.3 Contributor for coding with long context.
Llama 3.2 1B is far smaller and reads text only. Llama 4 Scout reads images and handles much longer inputs.
Both are open and read images. Llama 4 Scout is larger, with a 10M-token window, and scores 94.4 on DocVQA. Gemma 3 4B is much smaller, works in 35+ languages out of the box and suits simple tasks.
Llama 4 Scout is a mixture-of-experts model: it has 109B parameters split across 16 experts, and uses about 17B for each word. Meta trained it on text and images together from the start, using about 40 trillion tokens of data, as explained in Meta's model card.
AIFreeForever connects to Llama 4 Scout through its API and adds our skills and file editors. Keep these limits in mind:
You can test Llama 4 Scout free on AIFreeForever in these ways:
These limitations only cover what you can do with Llama 4 Scout on AIFreeForever, not the limits of the model on Meta’s own platform. All trademarks belong to their owners, and the model’s full features are only available when you use it officially through Meta.
Yes. It's free on AIFreeForever and free to download under Meta's Llama 4 Community License.
Meta made Llama 4 Scout.
Meta released Llama 4 Scout on 5 April 2025.
Meta gives Llama 4 Scout a 10 million-token context window. Hosts, including AIFreeForever, often set a lower limit.
Yes. Meta tested it with up to 5 images at once.
Partly. Its weights are free to download under Meta's Llama 4 Community License, which has conditions, such as a separate licence for companies with over 700 million monthly users.
Yes, with powerful hardware. Meta says it fits on one H100 graphics card using int4 compression.
Meta lists 12: Arabic, English, French, German, Hindi, Indonesian, Italian, Portuguese, Spanish, Tagalog, Thai and Vietnamese.
No. It can make mistakes, so check important facts and numbers.
Ask Llama 4 Scout a question, paste your code or add a file and get instant answers. Not satisfied? Compare your answers to other models for free.
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