Jina Embeddings v3 VS FastEmbed

Let’s have a side-by-side comparison of Jina Embeddings v3 vs FastEmbed to find out which one is better. This software comparison between Jina Embeddings v3 and FastEmbed is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether Jina Embeddings v3 or FastEmbed fits your business.

Jina Embeddings v3

Jina Embeddings v3
jina-embeddings-v3 is a frontier multilingual text embedding model with 570M parameters and 8192 token-length, outperforming the latest proprietary embeddings from OpenAI and Cohere on MTEB.

FastEmbed

FastEmbed
FastEmbed is a lightweight, fast, Python library built for embedding generation. We support popular text models. Please open a Github issue if you want us to add a new model.

Jina Embeddings v3

Launched 2020-01
Pricing Model Free
Starting Price
Tech used Google Analytics,Google Tag Manager,Cloudflare CDN,Fastly,GitHub Pages,Gzip,HTTP/3,OpenGraph,Varnish
Tag Data Science,Document Search,Semantic Search

FastEmbed

Launched
Pricing Model Free
Starting Price
Tech used
Tag

Jina Embeddings v3 Rank/Visit

Global Rank 94581
Country China
Month Visit 542262

Top 5 Countries

11.78%
11.43%
8.31%
6.58%
4.92%
China United States India Ethiopia Taiwan

Traffic Sources

2.33%
0.65%
0.08%
8.35%
45.33%
43.25%
social paidReferrals mail referrals search direct

FastEmbed Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

Estimated traffic data from Similarweb

What are some alternatives?

When comparing Jina Embeddings v3 and FastEmbed, you can also consider the following products

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Jina ColBERT v2 - Jina ColBERT v2 supports 89 languages with superior retrieval performance, user-controlled output dimensions, and 8192 token-length.

JinaChat - Multimodal chats, endless memory, and budget-friendly API to reshape how we communicate and create.

Jina DeepSearch API - DeepSearch API: A revolutionary tool for in - depth query investigation. With iterative search, 500K token context, and evidence - based results, it delivers comprehensive answers to complex questions, ideal for research and staying updated in any field.

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