Meta AI • 70 Billion128,000 Token Context

Llama 3.3 70B Instruct Token Pricing & VRAM Calculator

Meta's flagship open-weights model delivering near 405B-class performance at 70B efficiency. Ideal for: Enterprise self-hosted LLM, open-source pipeline backbone.

API Cost (per 1M Tokens)

$0.70 / 1M Input

$0.90 / 1M Output

100k input tokens = ~$0.0700 | 100k output = ~$0.0900

Local VRAM & GPU Specs

48 GB

2x RTX 4090 (Q4_K_M) or A100 80GB

Local Ollama Run

ollama run llama3.3

Inspect port 11434: Port 11434 Guide

Compare Other AI Foundation Models

GPT-4o (Omni)$2.5/1M in Claude 3.5 Sonnet$3/1M in DeepSeek R1 (Reasoning)$0.55/1M in Qwen 2.5 Coder 32B$0.3/1M in Mistral Small 3 (24B)$0.2/1M in

Frequently Asked Questions

How much does Llama 3.3 70B Instruct cost per 1M tokens?

Llama 3.3 70B Instruct costs $0.70 per million input tokens and $0.90 per million output tokens.

What GPU is needed to run Llama 3.3 70B Instruct locally?

Llama 3.3 70B Instruct requires at least 48GB VRAM for 4-bit quantization. Recommended hardware: 2x RTX 4090 (Q4_K_M) or A100 80GB.

What is the context window size of Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct supports a context window of 128,000 tokens.