OpenAI: GPT-3.5 Turbo Instruct✓ Catalog verified
This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.
Overview
This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.
Access: available through the official OpenAI API. Context window: 4K.
Specifications
| API identifier | openai/gpt-3.5-turbo-instruct |
| Provider | OpenAI |
| Model type | Text LLM |
| Context window | 4K catalog |
| Input modalities | text |
| Output modalities | text |
| Released | Sep 28, 2023 |
| Tokenizer | GPT |
| Instruction format | chatml |
| Moderated | Yes |
| Architecture modality | text->text |
Pricing
Live pricing components for openai/gpt-3.5-turbo-instruct as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $0.0000015 | $1.50 / 1M | Per input token |
| Completion tokens | $0.000002 | $2.00 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$1.15Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | Not advertised | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | Not advertised | Supports tools / function calling |
| Self-Hosting | Not advertised | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call OpenAI: GPT-3.5 Turbo Instruct through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="openai/gpt-3.5-turbo-instruct",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| AlfredPros: CodeLLaMa 7B Instruct Solidity | Alfredpros | 4K | $0.80 | View → |
| EleutherAI: Llemma 7b | Eleutherai | 4K | $0.80 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does OpenAI: GPT-3.5 Turbo Instruct cost?
$1.50 per 1M input tokens and $2.00 per 1M output tokens on the official OpenAI API.
What is the context window of OpenAI: GPT-3.5 Turbo Instruct?
OpenAI: GPT-3.5 Turbo Instruct supports up to 4K tokens of context.
Does OpenAI: GPT-3.5 Turbo Instruct support tool / function calling?
OpenAI: GPT-3.5 Turbo Instruct does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.
How do I access OpenAI: GPT-3.5 Turbo Instruct?
Use the official OpenAI API with the model id `openai/gpt-3.5-turbo-instruct`. See the Quick start section above for code examples.