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 May 2026
Context
4k tokens
Speed
Very fast
Uses the legacy /v1/completions endpoint, not /v1/chat/completions. The 4,095-token context window is a hard constraint that makes it unsuitable for most modern tasks. OpenAI has not deprecated it, but it receives no capability updates.
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
Real-world use cases
What people actually use OpenAI: GPT-3.5 Turbo Instruct for.
Filling in structured templates like cover letter boilerplates or form responses
Running text classification or extraction in a high-volume batch pipeline via the completion API
Migrating or maintaining legacy OpenAI integrations built before the chat API era
Price History
OpenAI: GPT-3.5 Turbo Instruct pricing over time
→0% since May 9
48 data points · tracked daily since May 9, 2026
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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.
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.
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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