The real cost to run Meta Llama 3 70B Instruct

meta-llama · 70.6B parameters · 8.2K context · commercial OK

Meta Llama 3 70B Instruct — 70.6B params (meta-llama). Auto-indexed from the Hugging Face Hub (35,079 downloads). Parameter count is exact; context window, download size, and quantizations are estimates.

What it costs to run Meta Llama 3 70B Instruct — $0 markup

On your own machine — $0. Runs free locally if you have about 82 GB of VRAM at Q4_K_M (point Spanvero at LM Studio, Ollama, or llama.cpp).
On your own rented GPU — from $0.98/hr. 2× NVIDIA RTX A6000 48GB at the direct RunPod price (≈ $0.87 a session), $0 markup.
Via your own API key — $0.66/1M tokens (blended input + output). No GPU to manage (rough estimate for this size).

Key facts

Parameters	70.6B
Context window	8.2K tokens
Recommended quant	Q4_K_M
VRAM to run	~82 GB (at Q4_K_M, 8.2K context)
Download size	~42 GB
License	Commercial use OK

Open the free Spanvero advisor → for the live, interactive math for your exact workload and hardware.

Related models

Llama 3.2 1B — 1.2B, meta-llama
Meta Llama 3 8B Instruct — 8B, meta-llama
Llama 3.1 8B — 8B, meta-llama
Meta Llama 3 8B — 8B, meta-llama
Llama 3.2 3B — 3.2B, meta-llama

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