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High Llama 3 (including variants like 3.1 70B) demonstrates strong performance on benchmarks such as MMLU (86.0), MATH (67.8-77.0), and GPQA (48.0-50.5), making it competitive with larger models like Llama 3.1 405B and close to leaders like Claude 3.5 Sonnet, though below average on some composite indices (e.g., 12/13 median). Reasoning

Llama v3 70B

Llama 3 70B is Meta's powerhouse 70-billion-parameter AI model, delivering state-of-the-art performance in reasoning, code generation, multilingual dialogue, and creative tasks that rival larger models. Optimized for developers, it powers conversational AI, content creation, and enterprise apps with unmatched efficiency and openness under the community license.

128k Context
High Llama 3 (including variants like 3.1 70B) demonstrates strong performance on benchmarks such as MMLU (86.0), MATH (67.8-77.0), and GPQA (48.0-50.5), making it competitive with larger models like Llama 3.1 405B and close to leaders like Claude 3.5 Sonnet, though below average on some composite indices (e.g., 12/13 median). Intelligence
Dec '23 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

MMLU
86.0%
HumanEval
88.4%
GPQA Diamond
50.5%

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 v3 70B?

Advanced Reasoning

Improved reasoning, coding, math, and instruction-following capabilities

Multilingual Support

Strong performance across 8 languages for translation and global applications

Tool Use

State-of-the-art tool calling and long-context handling up to 128K tokens

Capability Examples

Complex Reasoning
Solve this puzzle: If a red house is made of red bricks, a blue house of blue bricks, and a yellow house of yellow bricks, what's a greenhouse made of?
A greenhouse is made of glass. It doesn't use green bricks; "greenhouse" refers to plants grown inside, not the material.
Code Generation
Write a Python function to find the Fibonacci sequence up to n terms.
def fibonacci(n): a, b = 0, 1; seq = [a, b]; for _ in range(n-2): a, b = b, a + b; seq.append(b); return seq. Example: fibonacci(10) = [0,1,1,2,3,5,8,13,21,34].

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure Llama v3 70B 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 v3 70B better than Claude 3.5 or Gemini? Test same prompts simultaneously in the Chat Playground.

Open Chat Playground

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