---
title: "Discussion on \"I embedded all of Qdrant's docs with FastEmbed. The API would have cost 2 cents.\" | Hashnode"
description: "Discussion on \"I embedded all of Qdrant's docs with FastEmbed. The API would have cost 2 cents.\". 5,084 chunks, 1.2 million tokens, 24 minutes on a 2 vCPU box. What running embeddings locally next to Qdrant actually costs, with every number labeled."
url: "https://hashnode.com/posts/fastembed-vs-openai-embedding-cost-qdrant-docs/6ab49039726418bbd9da7867"
---

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# [I embedded all of Qdrant's docs with FastEmbed. The API would have cost 2 cents.](https://aihive.hashnode.dev/fastembed-vs-openai-embedding-cost-qdrant-docs?utm_source=hashnode&utm_medium=feed)

5,084 chunks, 1.2 million tokens, 24 minutes on a 2 vCPU box. What running embeddings locally next to Qdrant actually costs, with every number labeled.

Sep 24 · 9 min read · aihive.hashnode.dev  
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-   [#qdrant](https://hashnode.com/tag/qdrant)
-   [#vector-embeddings](https://hashnode.com/tag/vector-embeddings)
-   [#python](https://hashnode.com/tag/python)
-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#openai](https://hashnode.com/tag/openai)

## Written by

[Mihir Inamdar](https://hashnode.com/@inamdarmihir)

@inamdarmihir · Pune, India

  
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