BGE Large EN v1.5

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by Communitybge-large-en-v1-5

BAAI (Beijing Academy of AI) open-weight English embedding model with 335M parameters. Returns 1024-dim vectors and was a top MTEB English retrieval model on release. The v1.5 update improved similarity distribution so it works well without a query instruction prefix for symmetric tasks. A widely used open alternative to hosted embeddings.

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

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About BGE Large EN v1.5

TL;DRAs of September 23, 2026

BGE Large EN v1.5 is a model by Community in the Embeddings category. BGE Large EN v1.5 is currently not available on Railwail. The context window holds 512 tokens.

bge-large-en-v1.5 from the Beijing Academy of Artificial Intelligence is a BERT-large-based English embedding model producing 1024-dim vectors with a 512-token limit. The v1.5 release recalibrated the cosine-similarity distribution so scores spread more usefully across the range, and it no longer strictly requires the retrieval instruction prefix for symmetric similarity. It ranked at the top of the MTEB English leaderboard when released and remains a common open-weight default for RAG and semantic search. Served through Hugging Face with the feature-extraction pipeline; for asymmetric retrieval prepend the recommended query instruction to questions.

Pricing

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

API

Call BGE Large EN v1.5 with your Railwail API key. Use this model ID in the request:

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Specifications

Model ID: bge-large-en-v1-5
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
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Type: Text
Default: –
Allowed values: up to 4,000 characters

Use cases

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Frequently asked questions

What is BGE Large EN v1.5?

BGE Large EN v1.5 is a model by Community in the Embeddings category. It is listed on Railwail but cannot be run at the moment.

How much does BGE Large EN v1.5 cost on Railwail?

BGE Large EN v1.5 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 BGE Large EN v1.5?

The context window of BGE Large EN v1.5 holds 512 tokens.

How fast is BGE Large EN v1.5?

There are not enough measured runs of BGE Large EN v1.5 on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.

Is BGE Large EN v1.5 better than OpenAI text-embedding-3-large?

That depends on the task. BGE Large EN v1.5 (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 BGE Large EN v1.5 and OpenAI text-embedding-3-large

Can I use BGE Large EN v1.5 right now?

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