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Intfloat: E5-Large-v2

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intfloat/e5-large-v2
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The e5-large-v2 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-accuracy semantic embeddings optimized for retrieval, semantic search, reranking, and similarity-scoring tasks.

Context
512
tokens
Dimensions
1,024
per vector
Input
$0.01
per million tokens

Providers

Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.
#ProviderInput
1
DeepInfraNon-EU
Data policy not declared
$0.01

Price history

No price changes since Oct 25, 2026.

  • DeepInfra$0.01 in

Questions

How much does Intfloat: E5-Large-v2 cost?

Intfloat: E5-Large-v2 costs $0.01 per million input tokens at DeepInfra, the provider requests go to first.

Do providers train on my prompts?

Each provider declares it, and the table above shows every declaration. You can limit a request to providers that keep nothing, or to providers in the EU.

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Call Intfloat: E5-Large-v2 with one keyEach request pays the price of the provider that answered it.