Is OVHcloud's Qwen2.5-VL-72B-Instruct (in/out) the best deal?

AI Endpoints · $1.01/mo

Better deals exist

Vultr's Llama-3.1-Nemotron model is 99% cheaper on base pricing and token costs, though it is a different model class (safety-guard vs vision-language). OVHcloud's Qwen2.5-VL-72B is a specialized vision-language model; if that capability is essential, OVHcloud is your only option here, but verify whether you actually need vision features before paying the premium.

Serverless Inference Llama-3.1-Nemotron-Safety-Guard-8B-v3

$0.01/mosave 99%

Identical $0.01/M token pricing for both input and output with negligible base cost, plus 100% network uptime SLA.

Caveat: Model is 8B safety-guard, not a 72B vision-language model; only comparable if you do not need vision capabilities.

Before you switch

Confirm whether you need vision-language capabilities; if not, Vultr's 8B model is vastly cheaper and sufficient for most text tasks.
Vultr bandwidth overage rates vary by data center; request pricing for your target region before committing.
OVHcloud charges separately for IPv4 addresses and applies Windows license surcharges; factor these into total cost if applicable.
OVHcloud APAC outbound traffic loses free-egress status mid-2026; if you use India, Singapore, or Australia regions, budget for egress fees after that date.
Verify Vultr's SLA terms and support response times against OVHcloud if uptime guarantees matter to your workload.

This comparison is generated from publicly listed pricing and may contain errors or omissions. It is not financial or professional advice, and CloudHosting.io is not responsible for decisions made based on it. Pricing, promotions, and specs change frequently and may not reflect current terms, regional availability, taxes, or contract length. Always verify current pricing and terms directly on the provider's site before purchasing or switching.

Comparable plans across providers

Provider	Plan	Price	Specs
Vultr	Serverless Inference · Llama-3.1-Nemotron-Safety-Guard-8B-v3	$0.01/mo	Input $0.01/M tokens, output $0.01/M tokens	Visit

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