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 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
How GPT-3.5 Turbo Instruct compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-3.5 Turbo — Against GPT-3.5 Turbo (OpenAI), GPT-3.5 Turbo Instruct costs about 43% more per token and gives up 4x on context. GPT-3.5 Turbo is the one to check first if the price difference matters more than the ceiling.
vs GPT-3.5 Turbo (older v0613) — Against GPT-3.5 Turbo (older v0613) (OpenAI), GPT-3.5 Turbo Instruct costs about 14% more per token. GPT-3.5 Turbo (older v0613) is the one to check first if the price difference matters more than the ceiling.
vs GPT-4.1 Mini — Against GPT-4.1 Mini (OpenAI), GPT-3.5 Turbo Instruct costs about 43% more per token and gives up 255.8x on context. GPT-4.1 Mini is the one to check first if the price difference matters more than the ceiling.
Price History
GPT-3.5 Turbo Instruct pricing over time
→0% since May 30
90 data points · tracked daily since May 30, 2026
Ready to try it?
Start using 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
5/5 speed
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.
An older versioned snapshot of GPT-3.5 Turbo (v0613), OpenAI's once-dominant mid-tier language model optimized for fast chat completions and instruction following. This specific checkpoint is frozen in time, predating later capability improvements introduced in subsequent GPT-3.5 Turbo updates.
Verdict
A once-useful workhorse now completely overshadowed by cheaper, more capable successors.
Quality score
31%
Pricing
$1.00/1M in
$2.00/1M out
Speed
Very fast
5/5 speed
Context
4k tokens
This is a pinned legacy snapshot (v0613) and may eventually be deprecated by OpenAI. The 4,095-token context window is its most significant practical limitation. OpenAI's own GPT-4o mini offers drastically more context and better quality at a comparable price — strongly consider migrating.
LegacyBudgetFastShort ContextOpenAI
Best for
High-volume, cost-sensitive text tasks like classification, summarization, and simple Q&A where bleeding-edge quality is not required.
GPT-4.1 Mini is OpenAI's cost-optimized small model from the GPT-4.1 family, designed to deliver strong instruction-following and coding performance at a fraction of flagship pricing. It targets high-volume, latency-sensitive applications where cost efficiency matters more than peak capability.
Verdict
The go-to budget workhorse for high-volume OpenAI API users who need GPT-4.1 quality at GPT-3.5 prices.
Quality score
65%
Pricing
$0.40/1M in
$1.60/1M out
Speed
Very fast
5/5 speed
Context
1.0M tokens
Pricing shown is $0.40 input / $1.60 output per 1M tokens. Cached input tokens are significantly cheaper. The 1M token context window is a standout feature at this price tier — few competitors match it. Supersedes GPT-4o as the recommended default for cost-conscious applications.
BudgetFastLong ContextOpenAIProduction
Best for
High-volume production workloads that need reliable GPT-4-class instruction following without flagship pricing.
GPT-3.5 Turbo Instruct costs $1.5 per million input tokens and $2 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $19.00 at list price, before any batch or caching discounts.
What is GPT-3.5 Turbo Instruct best for?
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 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 GPT-3.5 Turbo Instruct?
GPT-4.1 Mini (OpenAI) at $0.40/1M/1M input against GPT-3.5 Turbo Instruct's $1.50/1M/1M — roughly 43% less per token all in. The go-to budget workhorse for high-volume OpenAI API users who need GPT-4.1 quality at GPT-3.5 prices. Compare it first if GPT-3.5 Turbo Instruct's pricing is the thing stopping you.
What is a faster alternative to GPT-3.5 Turbo Instruct?
GPT-3.5 Turbo — very fast against GPT-3.5 Turbo Instruct's very fast, with 16k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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