i

E5 Large v2

Feb 2024
iE5 Large v2
Compare in
on
$0.01per 1M tokens
49.3MTEB English v2
Feb 2024released
1,024Dimensions
1K tokensMax input
enLanguages

Alternatives?

Run it yourself

estimate
Fits on✓ 8 GB (phone, laptop) · full quality✓ 16 GB · full quality✓ 24 GB GPU · full quality✓ 48 GB GPU · full quality✓ 80 GB GPU · full quality
LicenceMITfree for commercial use

History

2 versions
38.53939.540Jan 23Apr 23Jul 23Oct 23Jan 24Release dateMTEB multilingual · RetrievalE5 · DecE5 · Feb
38.53939.540Jan 23Jul 23Jan 24Release dateMTEB multilingual · RetrievalE5 · Dec

Benchmarks

in Embeddings & Retrieval

FAQ

How much does E5 Large v2 cost?›

$0.01 per 1M tokens.

Is E5 Large v2 free to use?›

There is no free API; the cheapest paid price is $0.01 per 1M input tokens. The weights are open, so you can run it yourself.

How good is E5 Large v2, and what is it best at?›

#112 of 200 in Embeddings.

Is E5 Large v2 better than Mxbai Embed Large v1?›

On MTEB multilingual v2 · Retrieval · multilingual (120 languages), E5 Large v2 scores 40.1 vs 40.3 — about the same.

How can I use E5 Large v2?›

Through the intfloat API.

When was E5 Large v2 released? Is there a newer version?›

Released 2024-02-08. It is the current version in its line.

Is E5 Large v2 open source?›

Yes, the weights are open (MIT licence).

Can I run E5 Large v2 locally?›

The weights are open and can be self-hosted; hardware needs are not confirmed yet.

What is E5 Large v2?›

E5 Large v2 is an open-weights embeddings & retrieval model from intfloat, released Feb 2024.

What are the best alternatives to E5 Large v2?›

pplx Embed v1 0.6B (cheaper), EmbeddingGemma 300M (better), KaLM Embedding Gemma3 12B 2511 (open weights).