gpt-3.5-turbo-instruct#

Providers / OpenAI / gpt-3.5-turbo-instruct

📋 Overview#

ID: gpt-3.5-turbo-instruct
Provider: OpenAI
Authors: OpenAI
Release Date: 2023-09-21
Knowledge Cutoff: 2021-08-01
Open Weights: false
Context Window: 4k tokens
Max Output: 4k tokens

🔬 Technical Specifications#

Sampling Controls:

🎯 Capabilities#

Feature Overview#

Input/Output Modalities#

Direction	Text	Image	Audio	Video	PDF
Input	✅	❌	❌	❌	❌
Output	✅	❌	❌	❌	❌

Core Features#

Tool Calling	Tool Definitions	Tool Choice	Web Search	File Attachments
❌	❌	❌	❌	❌

Response Delivery#

Streaming	Structured Output	JSON Mode	Function Call	Text Format
✅	❌	❌	❌	✅

🎛️ Generation Controls#

Sampling & Decoding#

Temperature	Top-P
0.0-2.0	0.0-1.0

Length & Termination#

Max Tokens	Stop Sequences
1-4k	✅

💰 Pricing#

Pricing shown for OpenAI

Token Pricing#

Input	Output	Reasoning	Cache Read	Cache Write
$1.50/1M	$2.00/1M	-	-	-

💰 Cost Calculator#

Calculate costs for common usage patterns:

Use Case	Input	Output	Total Cost
Quick chat (1K in, 500 out)	1k tokens	500 tokens	$0.002500
Document summary (10K in, 1K out)	10k tokens	1k tokens	$0.0170
RAG query (50K in, 2K out)	50k tokens	2k tokens	$0.0790
Code generation (5K in, 10K out)	5k tokens	10k tokens	$0.0275

Pricing Formula:

1Cost = (Input Tokens / 1M × $1.50) + (Output Tokens / 1M × $2.00)

📊 Example Costs#

Real-world usage examples and their costs:

Usage Tier	Daily Volume	Monthly Tokens	Monthly Cost
Personal (10 chats/day)	10 chats	675k	$1.12
Small Team (100 chats/day)	100 chats	9.0M	$15.00
Enterprise (1000 chats/day)	1000 chats	135.0M	$225.00

📋 Metadata#

Created: 2025-10-20 22:31:57 UTC

Last Updated: 2025-10-20 22:31:57 UTC

Last Updated: 2025-10-21 23:55:56 UTC | Generated by ModelWiki

Gpt 3.5 Turbo Instruct