OpenAI API (GPT models)
Large language model API capable of NER through zero-shot prompting
OpenAI's GPT models can perform NER tasks through natural language prompting without fine-tuning. The API supports flexible entity definitions and handles complex contextual understanding, though it is less optimised than dedicated NER systems.
| Pricing from | $0.50 per 1M input tokens (GPT-4 Turbo; varies by model) |
| Best for | Teams needing flexible, context-aware entity extraction with minimal setup |
| Website | openai.com/api/ |
Strengths and trade-offs
- Extremely flexible entity definitions through natural language prompts
- Excellent at understanding context and nuanced entity relationships
- Higher operational cost per request than dedicated NER services
- Less deterministic output can complicate production workflows
Appears in
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Questions about OpenAI API (GPT models)
How much does OpenAI API (GPT models) cost?
Lister lists OpenAI API (GPT models)'s pricing as: $0.50 per 1M input tokens (GPT-4 Turbo; varies by model).
Who is OpenAI API (GPT models) best for?
OpenAI API (GPT models) is best for teams needing flexible, context-aware entity extraction with minimal setup.
Where does OpenAI API (GPT models) rank?
OpenAI API (GPT models) is ranked #6 in Top 10 AI Named Entity Recognition Tools (Lister Score 83.3).
What are the best alternatives to OpenAI API (GPT models)?
The closest alternatives on Lister are AWS Comprehend (#1 in Top 10 AI Named Entity Recognition Tools), Google Cloud Natural Language (#2 in Top 10 AI Named Entity Recognition Tools) and Microsoft Azure Text Analytics (#3 in Top 10 AI Named Entity Recognition Tools).
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