Cheapest way to deploy Qwen2.5-VL-72B-Instruct in 2026

Rank	Provider	Pricing	Hardware	Monthly
#1	Azure	GPU · On-demand	RTX PRO 6000	$814
#2	Nebius	API	—	$975
#3	Verda	GPU · On-demand	RTX A6000	$1.41k
#4	OVHcloud	API	—	$1.51k
#5	Nebius	GPU · On-demand	H100 SXM	$2.12k

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• What's the cheapest way to host Qwen2.5-VL-72B-Instruct?

  The cheapest API option for Qwen2.5-VL-72B-Instruct in nfer's index is Nebius at $0.250/1M input + $0.750/1M 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 Qwen2.5-VL-72B-Instruct need?

  Qwen2.5-VL-72B-Instruct 147 GB at native precision; roughly 74 GB at int8 and 37 GB at int4. Native precision is bf16. Quantization roughly halves (int8) or quarters (int4) the VRAM footprint at modest accuracy cost.
• Can I use Qwen2.5-VL-72B-Instruct commercially?

  Released under other. Most permissive open-source licenses allow commercial use; confirm specific clauses with the publisher before deploying.
• What's the difference between API and GPU rental for Qwen2.5-VL-72B-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 Qwen2.5-VL-72B-Instruct available with EU data residency?

  Qwen2.5-VL-72B-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.