Cheapest way to deploy Llama-3.3-70B-Instruct in 2026

Rank	Provider	Pricing	Hardware	Monthly
#1	Nebius	API	—	$519
#2	Azure	GPU · On-demand	RTX PRO 6000	$814
#3	Google Cloud Vertex AI	API	—	$1.08k
#4	AWS	API	—	$1.08k
#5	OVHcloud	API	—	$1.11k

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• What's the cheapest way to host Llama-3.3-70B-Instruct?

  The cheapest API option for Llama-3.3-70B-Instruct in nfer's index is Nebius at $0.130/1M input + $0.400/1M output tokens. For self-hosted workloads, the cheapest GPU rental that fits is Azure on RTX PRO 6000 at $1.13/hour. The right choice depends on your daily token volume — see the break-even chart on this page.
• How much VRAM does Llama-3.3-70B-Instruct need?

  Llama-3.3-70B-Instruct 142 GB at native precision; roughly 71 GB at int8 and 36 GB at int4. Native precision is bf16. Quantization roughly halves (int8) or quarters (int4) the VRAM footprint at modest accuracy cost.
• Can I use Llama-3.3-70B-Instruct commercially?

  Released under the llama3.3 license — commercial use is permitted with provider-specific conditions (e.g. Meta's >700M MAU clause). Read the license before deploying.
• What's the difference between API and GPU rental for Llama-3.3-70B-Instruct?

  Token-priced API providers (like Nebius) bill per million input/output tokens — best for low or bursty volume. Renting a GPU (e.g. Azure at $1.13/hour) is a flat ~$813.60/month regardless of usage — better economics once you sustain enough tokens per day to justify the fixed cost. The break-even chart on this page shows the exact crossover point.
• Is Llama-3.3-70B-Instruct available with EU data residency?

  Llama-3.3-70B-Instruct is not a European-developed model. 3 EU-owned providers offer hosting in nfer's index — filter on EU sovereignty in the comparator to see them.