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High Reasoning

Llama v3.3 70B

Llama 3.3 70B is a powerful 70-billion-parameter, text-only AI model that delivers superior performance in reasoning, coding, math, and instruction-following—outpacing Llama 3.1 70B and even rivaling the massive Llama 3.1 405B at a fraction of the cost. With a 128k token context length, multilingual support, and efficient deployment options, it's the ideal choice for building advanced chatbots, content generation, and tool-assisted AI applications.

128k Context
High Intelligence
Dec '23 Knowledge

Available for Chat, Vision, and File Uploads.

Performance Benchmarks

MMLU
86%
HumanEval
88.4%
GPQA
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 v3.3 70B?

Superior Coding Assistance

Excels in coding tasks, supporting top programming languages with accurate code generation, feedback, error handling, and JSON outputs for function calling

Advanced Reasoning & Tool Use

Delivers step-by-step chain-of-thought reasoning, reliable tool invocation with parameter respect, and task-aware calls

Multilingual Dialogue

Supports 8 languages with high-quality instruction-following responses for complex prompts and global applications

Capability Examples

Multilingual Coding Assistance
Translate this Python function to French comments and optimize for efficiency: def factorial(n): if n == 0: return 1 else: return n factorial(n-1)
Voici une version optimisée en itératif avec commentaires en français pour éviter la récursion profonde :\n\ndef factorielle(n):\n if n < 0:\n raise ValueError("n doit être non-négatif")\n resultat = 1\n for i in range(1, n + 1):\n resultat = i\n return resultat\n\n# Efficace pour de grandes valeurs de n, O(n) temps et O(1) espace.
Complex Reasoning with Long Context
Analyze this 500-word excerpt on quantum entanglement (imagine pasted here) and explain its implications for faster-than-light communication, citing key physics principles. Keep under 200 words.
Quantum entanglement, as described, links particles such that measuring one instantly affects the other, regardless of distance (EPR paradox, 1935). However, no faster-than-light (FTL) communication is possible due to the no-communication theorem: outcomes are random and correlated only post-measurement, preserving causality and relativity. Bell's inequalities confirm non-locality but not signaling. Implications: secure quantum key distribution (e.g., BB84), but FTL info transfer violates Lorentz invariance. Your excerpt highlights superposition collapse, aligning with Copenhagen interpretation, but experiments (Aspect 1982) rule out local hidden variables without enabling comms.

How to use

1
Go to Chat

Navigate to the "AI Chat" page.

2
Select Model

Ensure Llama v3.3 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 v3.3 70B better than Claude 3.5 or Gemini? Test same prompts simultaneously in the Chat Playground.

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