Using GPT-3.5 Turbo (Instruct) on Vercel AI Gateway
Implementation guide · GPT-3.5 · OpenAI
Vercel AI Gateway exposes GPT-3.5 Turbo (Instruct) through model ID openai/gpt-3.5-turbo-instruct. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-29. Next refresh: weekly.
Quick Start
- 1
- 2Use the Vercel AI Gateway SDK or REST API to call
openai/gpt-3.5-turbo-instruct— see the documentation for request format. - 3
Code Examples
pip install openaiAI_GATEWAY_API_KEYopenai/gpt-3.5-turbo-instructcreator/model-name e.g. kwaipilot/kat-coder-pro-v2
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="openai/gpt-3.5-turbo-instruct",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Vercel AI Gateway
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.50 |
| Output tokens | $2.00 |
Capabilities
About GPT-3.5 Turbo (Instruct)
GPT-3.5 Turbo Instruct by OpenAI is designed to excel in precise instruction following and task completion, focusing on accuracy and clarity over conversational abilities. It offers key enhancements like efficient instruction adherence, reduced hallucination, and lower toxicity compared to previous models. Compatible with legacy completion endpoints, it retains the speed and affordability of the standard GPT-3.5 Turbo model while using a 4K context window and training data up to September 2021. Not specifically built for chat, it still supports diverse tasks like question answering, text completion, and code generation, aiming to enhance AI usability with safer and more accurate interactions.