GPT-3 Models by OpenAI
About
GPT-3, or Generative Pre-trained Transformer 3, is a large language model developed by OpenAI with a staggering 175 billion parameters, making it one of the largest AI models to date 12. This scale allows it to perform a wide range of tasks, from generating human-like text to translating languages and composing creative content 29. GPT-3 encompasses a family of models varying in size, all underpinned by a transformer architecture 1. Although initially accessible to developers broadly, Microsoft now holds exclusive licensing rights to its core technology, though OpenAI continues to provide API access 43. Despite its impressive capabilities, GPT-3 has faced criticism regarding biases arising from its training data and its inability to truly understand content, issues that subsequent models aim to resolve 210.
Specifications(4 models)
Available From(1 provider)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| babbage | Azure OpenAI | $0.4 | $0.4 | Provisioned |
| davinci | Azure OpenAI | $2 | $2 | Provisioned |
Frequently Asked Questions
- What is GPT-3 used for?
- GPT-3 is used for agent workflows and chatbot and role-playing use cases. The family description and listed model capabilities point to those workloads as the best fit.
- How does GPT-3 compare to GPT Realtime 2?
- GPT-3 by OpenAI is strongest where you need agent workflows, while GPT Realtime 2 by OpenAI is the closest related family to check for translation. GPT-3 has 4 listed variants and reaches up to 2K context, while GPT Realtime 2 reaches up to 131K context, so compare the specs and pricing tables before choosing a production model.
