BiomedBERT (PubMedBERT abstract)

EmbeddingsUnavailable
by MicrosoftModel ID: biomedbert-base-uncased-abstract

Microsoft BiomedBERT (formerly PubMedBERT) pretrained from scratch on PubMed abstracts with a domain-specific vocabulary, rather than adapting a general model. As a feature extractor it gives 768-dim biomedical embeddings and set the original state of the art on the BLURB biomedical NLP benchmark.

Status
Unavailable
Context
512 tokens
Input → output
Text → Vector
Developer
Microsoft
Updated
23 September 2026

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Biomedical text to embed

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About BiomedBERT (PubMedBERT abstract)

TL;DRAs of 23 September 2026

BiomedBERT (PubMedBERT abstract) is a model by Microsoft in the Embeddings category. BiomedBERT (PubMedBERT abstract) is currently not available on Railwail. The context window holds 512 tokens.

BiomedBERT, originally released as PubMedBERT, was trained from random initialization purely on biomedical text from PubMed, with its vocabulary learned from that same corpus. Microsoft's research showed that domain-specific pretraining from scratch beats continual pretraining of general BERT for biomedicine, and the model topped the BLURB benchmark. This abstract-only checkpoint is the most widely used variant. Through the Hugging Face feature-extraction pipeline it returns contextual token embeddings; mean-pool or take [CLS] for sentence and document vectors.
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Pricing

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API

Call BiomedBERT (PubMedBERT abstract) with your Railwail API key. Use this model ID in the request:
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Specifications

Model ID
biomedbert-base-uncased-abstract
Developer
Microsoft
Category
Embeddings
Input
Text
Output
Vector
Context window
512 tokens
Catalog entry updated
23 September 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.

  • inputsrequired

    Biomedical text to embed

    Type: Text
    Default: –
    Allowed values: up to 4,000 characters

Tags

  • science
  • embedding
  • research
  • huggingface
  • biomedbert
  • pubmedbert
  • microsoft
  • biomedical
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Use cases

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Frequently asked questions

What is BiomedBERT (PubMedBERT abstract)?

BiomedBERT (PubMedBERT abstract) is a model by Microsoft in the Embeddings category. It is listed on Railwail but cannot be run at the moment.

How much does BiomedBERT (PubMedBERT abstract) cost on Railwail?

BiomedBERT (PubMedBERT abstract) 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 BiomedBERT (PubMedBERT abstract)?

The context window of BiomedBERT (PubMedBERT abstract) holds 512 tokens.

How fast is BiomedBERT (PubMedBERT abstract)?

There are not enough measured runs of BiomedBERT (PubMedBERT abstract) on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.

Is BiomedBERT (PubMedBERT abstract) better than OpenAI text-embedding-3-large?

That depends on the task. BiomedBERT (PubMedBERT abstract) (Microsoft) 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 BiomedBERT (PubMedBERT abstract) and OpenAI text-embedding-3-large

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