OpenAI: GPT-3.5 Turbo Instruct

Public pricingIntelligence 69/100Small memory

OpenAI: GPT-3.5 Turbo Instruct एक टेक्स्ट मॉडल है, जिसे सामान्य चैट, विश्लेषण और production use के लिए बनाया गया है। यह स्थिर general-purpose प्रदर्शन, 4K tokens का context और संतुलित लागत profile जोड़कर general chat, analysis, and production workloads में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$1.50/1M

Output

$2.00/1M

Cached

$0.15/1M

Batch

$0.75/1M

Calculate your GPT-3.5 Turbo Instruct bill.

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What would GPT-3.5 Turbo Instruct cost you?

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Technical specifications

GPT-3.5 Turbo Instruct at a glance.

Memory

4,095

tokens

Max reply

4,096

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

tiktoken-o200k

Released

Sep 2023

Training cutoff

Sep 2021

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • gpqa_diamond

    28.03

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick GPT-3.5 Turbo Instruct

  • GPT-3.5 Turbo Instruct fits general-purpose text tasks within its memory tier.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.
  • Your inputs routinely exceed short documents.

Alternatives

Similar models to compare.

FAQ

GPT-3.5 Turbo Instruct — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, GPT-3.5 Turbo Instruct costs roughly $193 per month. Input is $1.50 /1M tokens and output is $2.00 /1M tokens.
GPT-3.5 Turbo Instruct has a 4,095-token context window (small memory — a few emails or a short document). That means you can fit about 768 words of input and history in a single call.
Beyond text generation, GPT-3.5 Turbo Instruct supports fine-tuning on your own data. It streams replies by default.
GPT-3.5 Turbo Instruct was released in September 2023, with training data cut off around September 2021.
Models in a similar class include GPT-5, GPT-5 Chat, GPT-5 Codex. The "Similar models" section below this FAQ links into each.

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