How much does Multilingual-E5-Large cost?

Multilingual-E5-Large costs $0.01/M tokens.

How much text can Multilingual-E5-Large process at once?

Multilingual-E5-Large accepts up to 512 tokens per input. Longer text has to be split into multiple inputs.

What inputs and outputs does Multilingual-E5-Large support?

Multilingual-E5-Large accepts text as input and returns embedding vectors.

Which providers serve Multilingual-E5-Large?

Multilingual-E5-Large is served by 1 provider on OpenRouter: DeepInfra.

What other embedding models does Intfloat have?

E5-Large-v2 and E5-Base-v2 are other embedding models from Intfloat.

When was Multilingual-E5-Large released?

Multilingual-E5-Large was released on November 18, 2025.

Intfloat: Multilingual-E5-Large

intfloat/multilingual-e5-large

Model weights

The multilingual-e5-large embedding model encodes sentences, paragraphs, and documents across over 90 languages into a 1024-dimensional dense vector space, delivering robust semantic embeddings optimized for multilingual retrieval, cross-language similarity, and large-scale data search.

Modalities

Price

$0.01/M tokens

Context

512

Released

Nov 18, 2025

Providers

This model is hosted by one provider. OpenRouter forwards every request without routing.

Latency


	$0.01	0.96s	100.00%

Input $0.01
0.96s latency100.00% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.009883/M tokens

Output

$0/M tokens

Multilingual-E5-Large — Price history

Price history

No effective price data for this selection

		$0.00988	$0.00	0.0%	100.0%

Effective in $0.00988Effective out $0.00
Token share
100.0%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.96%

Availability over the last 3 days

Last 72 hours

Availability 99.96%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.97%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Not currently available through EU in-region routing. In-region routing docs

More models from intfloat

E5-Large-v2

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.

Embeddings$0.01/M tokens

E5-Base-v2

The e5-base-v2 embedding model encodes English sentences and paragraphs into a 768-dimensional dense vector space, producing efficient and high-quality semantic embeddings optimized for tasks such as semantic search, similarity scoring, retrieval and clustering.

Embeddings$0.005/M tokens

Intfloat: Multilingual-E5-Large

Providers