GPT-3.5 Turbo
VerifiedFast, cost-effective LLM optimized for chat and text tasks.
About GPT-3.5 Turbo
The model follows the GPT-3.5 series design with fine-tuning focused on conversational formats. It accepts up to 16385 tokens of context to support longer exchanges. OpenAI keeps the weights closed and provides access exclusively through its API.
Key strengths center on low latency and economical operation for routine workloads. It follows instructions reliably across diverse text generation scenarios. Performance remains consistent without requiring extensive prompt engineering.
Common applications include customer support bots, content drafting tools, and educational assistants. Teams deploy it for real-time query handling and automated summarization. Integration typically occurs via OpenAI endpoints in web or mobile services.
Capabilities
How GPT-3.5 Turbo compares
GPT-3.5 Turbo (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · GPT-3.5 Turbo ranks #100 of 144
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Customer Support Chatbots
GPT-3.5 Turbo excels at powering responsive conversational agents that handle multi-turn customer queries while following specific instructions for tone and escalation.
Code Assistance Tools
It performs well for generating, debugging, and explaining code snippets across languages in interactive development environments.
Document Summarization Workflows
The model efficiently processes longer inputs to produce concise summaries and extract key insights from reports or articles.
Strengths & limitations
Strengths
- +Fast and efficient responses
- +Strong general language fluency
- +Versatile across writing and coding tasks
- +Good at structured output formats
Limitations
- –Knowledge cutoff before 2022
- –Can produce hallucinations or factual errors
- –Text-only modality with no vision support
Cost calculator
Estimate what GPT-3.5 Turbo would cost for your usage.
Based on GPT-3.5 Turbo's $0.50/1M input · $1.50/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "openai/gpt-3.5-turbo",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/gpt-3.5-turbo
Editor's verdict
GPT-3.5 Turbo is OpenAI's proprietary language models with a 16K-token context window.
At $1.50 per 1M output tokens, it is mid-priced for its class.
It is available through OpenAI's API and aggregators like OpenRouter.
Best suited to fast and efficient responses and strong general language fluency.
Frequently asked questions
The model supports a context length of 16385 tokens, allowing it to handle extended conversations or documents in a single request.
User reviews
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