Last refreshed 2026-06-29. Next refresh: weekly.
Why use GPT-3.5 Turbo (Instruct) on Vercel AI Gateway?
Vercel AI Gateway offers GPT-3.5 Turbo (Instruct) with pay-as-you-go pricing at $1.50/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.
Compare GPT-3.5 Turbo (Instruct) across 5 providers to find the best fit for your use caseSetup recipe
Python + curlpip install openaiexport AI_GATEWAY_API_KEY=...import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],openai/gpt-3.5-turbo-instructRequest example
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)Gotchas
- Use provider model ID "openai/gpt-3.5-turbo-instruct", not the LLMReference slug "gpt-3.5-turbo-instruct".
- creator/model-name e.g. kwaipilot/kat-coder-pro-v2
- The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.
Compare GPT-3.5 Turbo (Instruct) Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Azure OpenAI | $1.50 | $2.00 |
| OpenAI API | $1.50 | $2.00 |
| Salesforce Einstein Generative AI | — | — |
| OpenRouter | $1.50 | $2.00 |
| Vercel AI Gateway | $1.50 | $2.00 |
Pricing
| 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.