gpt-3-5-turbo-16k
GPT-3.5 Turbo 16k offers four times the context length of gpt-3.5-turbo, enough for about 20 pages of text in a single request, at a higher price.
Precio: Entrada: 720 créditos / 1 M de tokens (≈ $3.60); salida: 960 créditos / 1 M de tokens (≈ $4.80).
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GPT-3.5 Turbo 16k API on ModelFold
GPT-3.5 Turbo 16k offers four times the context length of gpt-3.5-turbo, enough for about 20 pages of text in a single request, at a higher price. Try GPT-3.5 Turbo 16k in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the GPT-3.5 Turbo 16k API
GPT-3.5 Turbo 16k at a glance
GPT-3.5 Turbo 16k is a chat model from OpenAI. It accepts text as input and returns text, with a context window of up to 16K tokens.
Use it without hosting anything
On ModelFold you call GPT-3.5 Turbo 16k with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of GPT-3.5 Turbo 16k
Up to 16K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Function calling
GPT-3.5 Turbo 16k supports tool (function) calling: describe your functions in the request and the model returns structured calls your code can run — the basis for agents and integrations.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use GPT-3.5 Turbo 16k on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how GPT-3.5 Turbo 16k responds before writing any code.
- 2
Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "gpt-3-5-turbo-16k" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with GPT-3.5 Turbo 16k
Long-document workflows
Feed in long reports, contracts, manuals or codebases and ask for summaries, comparisons and answers grounded in the material.
Writing and content
Draft, edit and translate articles, emails, product copy and documentation in a consistent tone.
Low-latency experiences
Power chat interfaces, autocomplete and interactive tools where users expect fast responses.
Frequently Asked Questions
What is GPT-3.5 Turbo 16k?⌄
GPT-3.5 Turbo 16k offers four times the context length of gpt-3.5-turbo, enough for about 20 pages of text in a single request, at a higher price.
Which inputs does GPT-3.5 Turbo 16k support?⌄
GPT-3.5 Turbo 16k accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of GPT-3.5 Turbo 16k?⌄
Up to 16K tokens, shared between your input and the model’s output.
Does GPT-3.5 Turbo 16k support function calling?⌄
Yes. GPT-3.5 Turbo 16k supports tools / function calling through the standard tools parameter of the chat completions API.
How is GPT-3.5 Turbo 16k billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call GPT-3.5 Turbo 16k through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "gpt-3-5-turbo-16k", using your ModelFold API key as the Bearer token.
| Entrada | 720 créditos 1M tokens≈ $3.60 |
| Salida | 960 créditos 1M tokens≈ $4.80 |
Se cobra por token, con tarifas separadas para entrada y salida. Los tokens de razonamiento cuentan como salida. El entorno de pruebas aplica exactamente el mismo cálculo.
Leer la documentación de la API →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"gpt-3-5-turbo-16k","messages":[{"role":"user","content":"Hello"}]}'