Back to all models
Get all the details on GPT-3.5 Turbo, an AI model from OpenAI. This page covers its token limits, pricing structure, key capabilities such as function_calling, json_mode, structured_outputs, available API code samples, and performance strengths.
Key Metrics
Input Limit
16.4K tokens
Output Limit
4.1K tokens
Input Cost
$0.50/1M
Output Cost
$1.50/1M
Sample API Code
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="gpt-3.5-turbo-1106",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello!"}
],
max_tokens=100
)
print(response.choices[0].message.content)Required Libraries
openai
openai
Benchmarks
| Benchmark | Score | Source | Notes |
|---|---|---|---|
1065 | lmarena.ai | - |
Notes
Legacy GPT model for cheaper chat and non-chat tasks. This specific version (1106) has a 16,385 token context window and supports JSON mode and reproducible outputs.
Capabilities
function calling
json mode
structured outputs
conversation state
reasoning
streaming
Supported Data Types
Input Types
text
Output Types
text
json
Strengths & Weaknesses
Good at
chat
non chat tasks
function calling
structured outputs
cost efficiency
Additional Information
Latest Update
Nov 6, 2023
Knowledge Cutoff
Apr 1, 2023