Flash Sale 50% Off!

Don't miss out on our amazing 50% flash sale. Limited time only!

Sale ends in:

Get an additional 10% discount on any plan!

SPECIAL10
See Pricing
×

Daily Limit Reached

You have exhausted your limit of free daily generations. To get more free generations, consider upgrading to our unlimited plan for $4/month or come back tomorrow.

Get an additional 10% discount on any plan!

SPECIAL10
Upgrade Now
Save $385/Month - Unlock All AI Tools

Upgrade to Premium

Thank you for creating an account! To continue using AI4Chat's premium features, please upgrade to a paid plan.

Access to all premium features
Priority customer support
Regular updates and new features - See our changelog
View Pricing Plans
7-Day Money Back Guarantee
Not satisfied? Get a full refund, no questions asked.
×

Credits Exhausted

You have used up all your available credits. Upgrade to a paid plan to get more credits and continue generating content.

Upgrade Now

You do not have enough credits to generate this output.

Medium Reasoning

Llama 4 Scout

Llama 4 Scout is the world's best multimodal AI model in its class, packing 17 billion active parameters from a 109B MoE architecture with 16 experts for unmatched text, image understanding, and coding prowess. Its industry-leading 10 million token context window powers epic tasks like multi-document summarization, vast codebase reasoning, and personalized insights—all at single H100 GPU efficiency.

10M Context
Medium Intelligence
Aug '24 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

MMLU Pro
69.63%
MMMU
58.75%
MGSM
87.96%

How do you want to interact?

Start a Conversation

Ask anything.
Have a natural conversation, brainstorm ideas, draft emails, or ask for advice.

Start Chatting

Use a Persona

Specialized Experts.
Instruct the AI to act as a Coding Tutor, Marketing Expert, or Travel Guide.

Pick a Persona

Why use Llama 4 Scout?

Native Multimodality

Processes text and image inputs proficiently using early fusion for tasks like visual question answering and image grounding

10M Token Context Window

Supports up to 10 million tokens for long-context tasks like multi-document summarization and vast codebase reasoning

Efficient Single-GPU Deployment

Runs on a single NVIDIA H100 GPU with Int4 quantization, leveraging MoE architecture with 17B active parameters

Capability Examples

Long Context Summarization
Summarize this 5 million token codebase provided as input, highlighting key functions and potential bugs.
After analyzing the entire 5M token codebase, key functions include main processing loop in module_core.py (lines 1-500k) with efficient data pipelining; potential bugs: null pointer dereference in utils.py at line 2.3M and race condition in thread_manager.py around 4.1M. Overall architecture is modular MoE-optimized for scalability.
Multimodal Image Analysis
Describe the objects, their positions, and relationships in this attached chart image, then answer: What trend does it show?
The bar chart shows sales data: Q1 (leftmost, blue bar, 120 units), Q2 (green, 150 units), Q3 (red, 180 units peaking center), Q4 (orange, 160 units right). Upward trend in sales from Q1 to Q3, slight decline in Q4, indicating seasonal growth.
Native Code Generation
Generate Python code for a MoE model simulator handling 10M tokens with 16 experts.
python

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure Llama 4 Scout is selected.

3
Type Prompt

Ask a question or paste code.

4
Interact

Refine the answer by replying to the AI.

Compare LLMs Side-by-Side

Is Llama 4 Scout better than Claude 3.5 or Gemini? Test same prompts simultaneously in the Chat Playground.

Open Chat Playground

Made with ❤ by AI4Chat