Cheapest way to deploy Meta-Llama-3-8B-Instruct in 2026

Rank	Provider	Pricing	Hardware	Monthly
#1	DeepInfra	API	—	$57
#2	Groq	API	—	$111
#3	Together AI	API	—	$150
#4	Verda	GPU · On-demand	V100	$202
#5	Azure	GPU · On-demand	K80	$285

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• What's the cheapest way to host Meta-Llama-3-8B-Instruct?

  The cheapest API option for Meta-Llama-3-8B-Instruct in nfer's index is DeepInfra at $0.030/1M input + $0.040/1M output tokens. For self-hosted workloads, the cheapest GPU rental that fits is Verda on V100 at $0.28/hour. The right choice depends on your daily token volume — see the break-even chart on this page.
• How much VRAM does Meta-Llama-3-8B-Instruct need?

  Meta-Llama-3-8B-Instruct 17 GB at native precision; roughly 9 GB at int8 and 4 GB at int4. Native precision is bf16. Quantization roughly halves (int8) or quarters (int4) the VRAM footprint at modest accuracy cost.
• Can I use Meta-Llama-3-8B-Instruct commercially?

  Released under the llama3 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 Meta-Llama-3-8B-Instruct?

  Token-priced API providers (like DeepInfra) bill per million input/output tokens — best for low or bursty volume. Renting a GPU (e.g. Verda at $0.28/hour) is a flat ~$201.60/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 Meta-Llama-3-8B-Instruct available with EU data residency?

  Meta-Llama-3-8B-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.