text-davinci
text-davinci has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 4k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- GPT-3 Instruct
- Released
- 2022-01-27
- Context
- 4k
- Parameters
- 175B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2021-06
- Specialization
- general
- Training
- finetuned
About
Text-davinci-003 is a notable model from OpenAI's GPT-3 lineup, designed for versatile natural language processing tasks. It excels in generating coherent, high-quality text resembling human communication, making it ideal for diverse applications like summarization, translation, and creative content generation. Known for its ability to understand and follow complex prompts, it generates more extended and coherent text compared to prior models. While adept at many tasks, its performance is dependent on the quality of prompt engineering, and it is not available for fine-tuning. As a part of the evolving GPT series, newer iterations like gpt-3.5-turbo and gpt-4 present further enhancements in capabilities.
text-davinci is a model in the GPT-3 Instruct family. The structured metadata tracks a 4k-token context window. No headline benchmark score is tracked for text-davinci yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
API versions
text-davinci-001text-davinci-002text-davinci-003