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Available now on ModelsLab · Language Model

OpenAI: GPT-3.5 Turbo InstructInstruct Precisely. Complete Fast

Try OpenAI: GPT-3.5 Turbo InstructAPI Documentation

Execute Instructions Efficiently

Task Precision

Follows Instructions Directly

Handles specific commands via completions endpoint for OpenAI: GPT-3.5 Turbo Instruct API.

Low Hallucinations

Reduces Errors Toxicity

Delivers truthful responses in OpenAI: GPT-3.5 Turbo Instruct model with 4K context window.

Cost Efficient

Matches GPT-3.5 Performance

Provides question-answering and text completion as OpenAI: GPT-3.5 Turbo Instruct alternative.

Examples

See what OpenAI: GPT-3.5 Turbo Instruct can create

Copy any prompt below and try it yourself in the playground.

Photosynthesis Quiz

“Create a multiple-choice quiz question on photosynthesis with four options and correct answer explanation.”

Research Hypothesis

“Generate a research hypothesis about social media impact on mental health, including variables and predicted outcomes.”

Lesson Plan

“Generate detailed lesson plan on renewable energy with objectives, activities, assessments, and discussion topics.”

Code Snippet

“Write Python function to calculate Fibonacci sequence up to n terms using recursion with memoization.”

For Developers

A few lines of code.
Completions. One prompt.

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

  • Serverless: scales to zero, scales to millions
  • Pay per token, no minimums
  • Python and JavaScript SDKs, plus REST API
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about OpenAI: GPT-3.5 Turbo Instruct

Read the docs

GPT-3.5 Turbo Instruct excels at following instructions via completions endpoint. It uses 4,096 token context and max output. Training data ends September 2021.

It focuses on task-oriented completions, not conversations. Use completions API, not chat completions. Reduces hallucinations for precise outputs.

Input costs $1.50 per 1M tokens. Output costs $2.00 per 1M tokens. Matches GPT-3.5 efficiency.

Yes, generates code and handles tasks like code review. Compatible with legacy completions endpoint.

Offers same performance as GPT-3.5 at lower cost for instruct tasks. Ideal for non-chat workloads.

Supports 4,096 input tokens and 4,096 max output tokens. Optimized for instruction following.

Ready to create?

Start generating with OpenAI: GPT-3.5 Turbo Instruct on ModelsLab.

Try OpenAI: GPT-3.5 Turbo InstructAPI Documentation