Update cloud inference FAQ

Adds information about free models and external providers.
This commit is contained in:
Bastian Hofmann
2026-03-05 13:47:41 +01:00
parent 8f04c55fce
commit 608fc51422
@@ -2,20 +2,20 @@
title: FAQs
questions:
- id: 0
question: Is Qdrant Cloud Inference available on free accounts?
answer: Inference is only available on paid Qdrant Cloud clusters.
question: Is Qdrant Cloud Inference available on free clusters?
answer: Yes, free models and external model providers can be used in free Qdrant Cloud clusters. Paid models require a paid cluster.
- id: 1
question: What kinds of data can I embed?
answer: You can embed both text and image data using the current available models.
- id: 2
question: Where are the embeddings generated?
answer: Embeddings are generated inside the network of your cluster, which removes external API overhead.
answer: For Qdrant hosted models, embeddings are generated inside the network of your cluster, which removes external API overhead. If you use external model providers, embeddings are generated by this provider.
- id: 3
question: How much does it cost?
answer: Inference is billed per token, and costs depend on the model. Each month, Qdrant Paid Cloud users get up to 5 million tokens free, depending on the model, and unlimited tokens for BM25.
answer: Inference is billed per token, and costs depend on the model. Each month, Qdrant Paid Cloud users get up to 5 million tokens free, depending on the model. Several models are offered for free completely, with no token limits. For more details, refer to the Inference section on your cluster detail page.
- id: 4
question: How do I get started?
answer: If you're on a paid plan, Cloud Inference is enabled by default.
answer: For new clusters, Cloud Inference is enabled by default. For older clusters that were created before the release of Cloud Inference, you can enable it from the cluster detail page in the Qdrant Cloud Console.
- id: 5
question: Will there be options for other embedding models?
answer: We plan to add models incrementally based on customer feedback.