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Get all the details on davinci-002, an AI model from OpenAI. This page covers its token limits, pricing structure, key capabilities such as fine_tuning, available API code samples, and performance strengths.
Key Metrics
Input Limit
No data tokens
Output Limit
16.4K tokens
Input Cost
$2.00/1M
Output Cost
$2.00/1M
Sample API Code
import openai
client = openai.OpenAI()
response = client.completions.create(
model="davinci-002",
prompt="Say this is a test",
max_tokens=7,
temperature=0
)
print(response.choices[0].text)Required Libraries
openai
openai
Notes
GPT base models can understand and generate natural language or code but are not trained with instruction following. These models are made to be replacements for our original GPT-3 base models and use the legacy Completions API. Most customers should use GPT-3.5 or GPT-4.
Capabilities
Supported Data Types
Input Types
text
Output Types
text
Strengths & Weaknesses
Good at
natural language understanding
natural language generation
code generation
Poor at
instruction following
streaming
function calling
structured outputs
web browsing
Additional Information
Latest Update
Sep 1, 2021
Knowledge Cutoff
Sep 1, 2021