Multilingual E5 Large

EmbeddingsUnavailable

by Communitymultilingual-e5-large

Microsoft E5 multilingual embedding model with 560M parameters, initialized from XLM-RoBERTa-large and trained with weakly supervised contrastive learning. Covers around 100 languages and returns 1024-dim vectors. It expects query: and passage: prefixes on inputs and is a popular open model for multilingual semantic search.

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Status: Unavailable
Context: 512 tokens
Input → output: Text → Vector
Developer: Community
Updated: September 23, 2026

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OpenAI text-embedding-3-largeOpenAI
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Input & output

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Text

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Text to embed, prefixed with 'query: ' or 'passage: ' per the E5 convention

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About Multilingual E5 Large

TL;DRAs of September 23, 2026

Multilingual E5 Large is a model by Community in the Embeddings category. Multilingual E5 Large is currently not available on Railwail. The context window holds 512 tokens.

multilingual-e5-large from Microsoft Research is built on XLM-RoBERTa-large and trained with a contrastive objective over large weakly supervised text-pair data followed by supervised fine-tuning. It covers roughly 100 languages and outputs 1024-dim embeddings with a 512-token limit. The E5 convention requires prefixing inputs with query: for search queries and passage: for documents, which the model relies on to separate the two roles. It is a strong, widely adopted open baseline for multilingual retrieval and clustering. Served through the Hugging Face feature-extraction pipeline; mean-pool the token outputs to get the sentence embedding.

Pricing

Currently unavailable. There is no price for this model at the moment, so it cannot be run.

API

Call Multilingual E5 Large with your Railwail API key. Use this model ID in the request:

multilingual-e5-largeAPI documentation Get an API key

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The model has no verified price or is deactivated; API calls are refused.

Specifications

Model ID: multilingual-e5-large
Developer: Community
Category: Embeddings
Input: Text
Output: Vector
Context window: 512 tokens
Catalog entry updated: September 23, 2026

Input parameters

Inputs and settings from the model's input schema. The example in the API section shows which of them the API accepts.

ParameterTypeDefaultAllowed values

inputsrequired
Text to embed, prefixed with 'query: ' or 'passage: ' per the E5 convention
Type: Text
Default: –
Allowed values: up to 4,000 characters

Use cases

Related guides

Embedding Models for Search & Science

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Frequently asked questions

What is Multilingual E5 Large?

Multilingual E5 Large is a model by Community in the Embeddings category. It is listed on Railwail but cannot be run at the moment.

How much does Multilingual E5 Large cost on Railwail?

Multilingual E5 Large cannot be run on Railwail at the moment, so there is no current price. Available alternatives with prices are listed further down this page.

What is the context window of Multilingual E5 Large?

The context window of Multilingual E5 Large holds 512 tokens.

How fast is Multilingual E5 Large?

There are not enough measured runs of Multilingual E5 Large on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.

Is Multilingual E5 Large better than OpenAI text-embedding-3-large?

That depends on the task. Multilingual E5 Large (Community) and OpenAI text-embedding-3-large (OpenAI) are both models in the Embeddings category. The comparison page shows their prices and specifications side by side.

Compare Multilingual E5 Large and OpenAI text-embedding-3-large

Can I use Multilingual E5 Large right now?

Currently unavailable. The page stays online; available alternatives from the same category are listed further down.

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