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GPT-3.5 Turbo Instruct - In-Depth Overview

OpenAI · GPT-3.5

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Get all the details on GPT-3.5 Turbo Instruct, an AI model from OpenAI. This page covers its token limits, pricing structure, key capabilities such as instruction_following, available API code samples, and performance strengths.

Key Metrics

Input Limit

4.1K tokens

Output Limit

4.1K tokens

Input Cost

$1.50/1M

Output Cost

$2.00/1M

Sample API Code

from openai import OpenAI

client = OpenAI()

completion = client.completions.create(
  model="gpt-3.5-turbo-instruct",
  prompt="Write a short story about a robot dog.",
  max_tokens=50
)

print(completion.choices[0].text)

Required Libraries

openai
openai

Notes

An older model only compatible with the legacy Completions endpoint. Similar capabilities as GPT-3 era models.

Capabilities

instruction following

Supported Data Types

Input Types

text

Output Types

text

Strengths & Weaknesses

Good at

text generation
instruction following

Poor at

complex reasoning
multimodal tasks
long context

Additional Information

Latest Update

Sep 1, 2021

Knowledge Cutoff

Sep 1, 2021