OpenAI: GPT-3.5 Turbo Instruct

stable

GPT-3.5 Turbo Instruct is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.

gpt-3.5-turbo-instructgpt-3.5

Provider Quick start

Context

16.4K

tokens

Max output

4.1K

tokens

Input

per 1M

Output

per 1M

Activity

Daily period usage

Aggregated managed Everstack traffic. Buckets below 5 tenants or 100 requests are withheld.

Providers

ProviderContextInput /MOutput /M

OpenAI

16.4K--

Pricing

No pricing data available.

Performance

Reliability

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Capabilities

Modalities

Input

Output

Details

Model ID: gpt-3.5-turbo-instruct
Family: gpt-3.5
Status: stable
Knowledge: -
Released: -

Gateway Config

API: 2024-01-01
Auth: OPENAI_API_KEY
Discovery: static
Provider type: static

Quick Start

index.ts

import Everstack from "@everstack/node";const client = new Everstack({  apiKey: process.env.EVERSTACK_API_KEY!,  baseUrl: "https://{instance}.{region}.everstack.ai",});const completion = await client.chat.completions.create({  model: "@openai/gpt-3.5-turbo-instruct",  messages: [{ role: "user", content: "Explain vector cache routing." }],});console.log(completion.choices[0]?.message?.content);

Endpoint

Base URL

https://api.openai.com/v1

Chat completions

https://api.openai.com/v1/chat/completions

Model

gpt-3.5-turbo-instruct

Auth env

OPENAI_API_KEY

GPT-3.5 Turbo Instruct FAQ

What is the context window of GPT-3.5 Turbo Instruct?

GPT-3.5 Turbo Instruct accepts up to 16.4K tokens of context and returns up to 4.1K output tokens on OpenAI.

What can GPT-3.5 Turbo Instruct do?

GPT-3.5 Turbo Instruct supports chat. It accepts text input.

How do I call GPT-3.5 Turbo Instruct through Everstack?

Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @openai/gpt-3.5-turbo-instruct. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.