Is Vultr's DeepSeek-V4-Flash the best deal?

Serverless Inference · $0.3/mo

Competitively priced

Vultr's DeepSeek-V4-Flash pricing is competitive for LLM inference, but OVHcloud's bge-m3 embedding model is a different use case (embeddings vs. generative inference) and not a direct substitute. If you need embeddings specifically, OVHcloud is cheaper; if you need full LLM inference, Vultr remains your best option among these candidates.

AI Endpoints bge-m3 (embedding)

$0.01/mo

Dramatically lower token costs ($0.01/1M input) if your workload is embedding-only rather than generative inference.

Caveat: bge-m3 is an embedding model, not a generative LLM like DeepSeek-V4-Flash; APAC regions lose free egress after mid-2026, and Windows licenses add $0.039/vCore/hour if needed.

Before you switch

Confirm whether you need generative inference (DeepSeek) or embeddings (bge-m3); they solve different problems.
Vultr's bandwidth overage rates vary by data center; request explicit per-GB rates for your region before committing.
OVHcloud's APAC free-egress window ends mid-2026; if you're in that region, factor in future egress costs.
OVHcloud charges separately for IPv4 addresses and Windows licenses; get a full TCO quote if either applies.
Compare actual token volumes you expect to process; per-token pricing dominates total cost at scale.

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
OVHcloud	AI Endpoints · bge-m3 (embedding)	$0.01/mo	fp16 quantization. Input tokens $0.01/1M.	Visit

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