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Favicon for intfloat

Intfloat: Multilingual-E5-Large

intfloat/multilingual-e5-large

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

Context

512

Weekly Rank

#252on OpenRouter

Overview
Providers
Performance
Pricing
Apps
Activity
Uptime
API

Performance for Multilingual-E5-Large

Compare different providers across OpenRouter

Effective Pricing for Multilingual-E5-Large

Actual cost per million tokens across providers over the past hour

Apps using Multilingual-E5-Large

Top public apps this month

Recent activity on Multilingual-E5-Large

Total usage per day on OpenRouter

Not enough data to display yet.

Uptime stats for Multilingual-E5-Large

Uptime stats for Multilingual-E5-Large across all providers

Providers for Multilingual-E5-Large

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Sample code and API for Multilingual-E5-Large

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible embeddings API that you can call directly, or using the OpenAI SDK.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.