Intfloat: Multilingual-E5-Large

intfloat/multilingual-e5-large

Created Nov 18, 2025512 context

$0.01/M input tokens$0/M output tokens

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.

Intfloat: Multilingual-E5-Large

intfloat/multilingual-e5-large

Created Nov 18, 2025512 context

$0.01/M input tokens$0/M output tokens

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.

Performance for Multilingual-E5-Large

Compare different providers across OpenRouter

Apps using Multilingual-E5-Large

Top public apps this month

Recent activity on Multilingual-E5-Large

Total usage per day on OpenRouter

Prompt

53.1M

Completion

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Multilingual-E5-Large

Uptime stats for Multilingual-E5-Large across all providers

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.

Multilingual-E5-Large - API, Providers, Stats | OpenRouter