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BloombergGPT

ProprietaryAPI

BloombergGPT is a 50 billion parameter LLM trained on 363 billion tokens of financial data β€” the largest finance-specific language model with superior financial NLP performance.

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Bloomberg's 50 billion parameter LLM trained on 363 billion tokens of financial data β€” the largest finance-specific language model achieving superior performance on financial NLP tasks versus general models. Accessible only through Bloomberg Terminal making it exclusively available to institutional finance professionals with existing Bloomberg subscriptions. Achieves state-of-the-art on financial benchmarks including financial sentiment analysis, named entity recognition, and financial question answering. The deepest domain-specific financial AI available but limited to the Bloomberg ecosystem.

Finance Strengths

Document Analysis5/5
Financial Coding3/5
Compliance Documents4/5
Multilingual Finance2/5
On-Premise Suitability1/5
Cost Efficiency2/5

Current Models

Model versions update frequently β€” visit provider website for latest releases.

ModelRelease DateContext WindowNotes
BloombergGPT2023Not disclosed50B parameter finance-trained LLM

Finance Use Cases

  1. Financial news and document analysis
  2. Financial sentiment analysis
  3. Financial named entity recognition
  4. Bloomberg Terminal AI features
  5. Financial question answering on Bloomberg data

Pros

  • βœ“Trained exclusively on financial data β€” deepest domain knowledge
  • βœ“Integrated with Bloomberg Terminal data
  • βœ“Purpose-built for financial NLP tasks

Cons

  • βœ—Only accessible via Bloomberg Terminal subscription
  • βœ—~$24,000/year Bloomberg Terminal required
  • βœ—English only β€” no multilingual support

Technical Details

Context Window
Not publicly disclosed
Multimodal
No
Open Source
No
License
Proprietary
Deployment
API
Languages
English

API Pricing

ModelInputOutputNotes
Bloomberg Terminal~$2,000/monthIncludedBundled with Bloomberg Terminal

Pricing changes frequently β€” verify current rates on provider website.

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