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HomeModelsOpenAI: GPT-3.5 Turbo Instruct
OpenAIBalanced

OpenAI: GPT-3.5 Turbo Instruct

A legacy model only worth using if your pipeline depends on the text completion API.

42
Coding
48
Writing
28
Research
0
Images
58
Value
5
Long Context
Use this when

Legacy completion API workflows, structured text generation, and simple instruction-following tasks where the chat format is not required.

Skip this if

Avoid if you need multi-turn conversations, long document processing, strong reasoning, or are building any new application — modern alternatives offer far better quality at comparable cost.

Pricing
$1.50/1M in
$2.00/1M out
→0%since Mar 2026
Context
4k tokens
Speed
Very fast
How to access
API
$1.5/1M input tokens
Subscription = chat interface. API = build with it. Compare all subscription plans
Switch to instead if...
Best overall
Claude Opus 4.6
Cheaper option
Meta: Llama 3.1 8B Instruct
Faster option
GPT-4o Mini

Strengths

Completion API support makes it uniquely suitable for legacy integrations and fine-tuning pipelines

Low latency for short, structured outputs like classifications or templated text

Cheaper than GPT-4o Mini for simple, high-volume completion tasks

Reliable instruction-following for well-defined, narrow tasks

Weaknesses

Tiny 4,095-token context window severely limits document processing and long conversations

Significantly behind modern models like GPT-4o Mini, Claude Haiku 3.5, and Gemini Flash on reasoning and nuanced writing

No native chat format support; unsuitable for multi-turn conversation applications

Monthly cost estimate

See what OpenAI: GPT-3.5 Turbo Instruct actually costs at your usage level

Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$1.50
Output cost
$1.00
Total / month
$2.50

Based on OpenAI: GPT-3.5 Turbo Instruct API pricing: $1.5/1M input · $2/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.

Price History

OpenAI: GPT-3.5 Turbo Instruct pricing over time

→0% since Mar 27

$1.62$1.56$1.50$1.44$1.38Mar 27Mar 28

2 data points · tracked daily since Mar 27, 2026

Ready to try it?

Start using OpenAI: GPT-3.5 Turbo Instruct

Legacy completion API workflows, structured text generation, and simple instruction-following tasks where the chat format is not required.. Start free — no card required.

Try OpenAI: GPT-3.5 Turbo Instruct freeCompare alternatives

Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.

Compare alternatives

Similar models worth checking before you commit.

OpenAIBudget

GPT-4o Mini

OpenAI's most affordable production-grade model — faster and cheaper than GPT-4o with strong enough performance for the majority of everyday tasks.

Verdict
OpenAI's fastest, cheapest option for everyday high-volume tasks.
Quality score
65%
Pricing
$0.15/1M in
$0.60/1M out
Speed
Very fast
Best for high-volume everyday tasks where gpt-4o quality is overkill
Context
128k tokens
GPT-4o Mini punches well above its price for classification, summarisation, and simple writing. It struggles when tasks get complex.
BudgetFastOpenAIHigh volume
Best for
High-volume everyday tasks where GPT-4o quality is overkill
View model
OpenAIBalanced

GPT-5.2 Mini

Lower-cost OpenAI model that keeps a solid balance of usefulness, speed, and affordability for everyday tasks.

Verdict
Solid OpenAI budget option, though Gemini Flash offers better value.
Quality score
67%
Pricing
$1.20/1M in
$4.80/1M out
Speed
Fast
Best for budget technical workflows and high-volume product integrations
Context
128k tokens
Best when you specifically need an OpenAI model in your stack.
Budget codingFastOpenAI
Best for
Budget technical workflows and high-volume product integrations
View model
OpenAIBudget

OpenAI: GPT-3.5 Turbo

GPT-3.5 Turbo is OpenAI's legacy fast and affordable chat model, optimized for dialogue and straightforward text tasks at low cost. It was the backbone of early ChatGPT and remains a go-to for high-volume, cost-sensitive deployments.

Verdict
A once-dominant budget model now outclassed by cheaper, smarter alternatives like GPT-4o mini.
Quality score
35%
Pricing
$0.50/1M in
$1.50/1M out
Speed
Very fast
Best for high-volume, low-complexity tasks like chatbots, classification, summarization, and simple q&a where cost matters more than cutting-edge quality.
Context
16k tokens
GPT-3.5 Turbo is still available via OpenAI API and supports fine-tuning, which keeps it relevant for teams with existing trained models. However, OpenAI has deprioritized its development in favor of the GPT-4o family. Not multimodal — text only.
BudgetLegacyFastHigh-volumeChatbot
Best for
High-volume, low-complexity tasks like chatbots, classification, summarization, and simple Q&A where cost matters more than cutting-edge quality.
View model

Change history

Pricing moves, ranking shifts, and capability updates.

New ModelMar 27, 2026

OpenAI: GPT-3.5 Turbo Instruct — added to UseRightAI

OpenAI: GPT-3.5 Turbo Instruct (OpenAI) is now indexed. A legacy model only worth using if your pipeline depends on the text completion API.

View model

FAQ

What is OpenAI: GPT-3.5 Turbo Instruct best for?

OpenAI: GPT-3.5 Turbo Instruct is best for legacy completion api workflows, structured text generation, and simple instruction-following tasks where the chat format is not required.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and very fast speed.

When should I avoid OpenAI: GPT-3.5 Turbo Instruct?

Avoid if you need multi-turn conversations, long document processing, strong reasoning, or are building any new application — modern alternatives offer far better quality at comparable cost.

What is a cheaper alternative to OpenAI: GPT-3.5 Turbo Instruct?

Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.

What is a faster alternative to OpenAI: GPT-3.5 Turbo Instruct?

GPT-4o Mini is the better pick when response time matters more than maximum depth or premium quality.

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