gpt-4
GPT-4 is OpenAI’s earlier flagship large language model, known for solving difficult problems accurately thanks to its broad general knowledge and reasoning. It has an 8K-token context window.
Pricing: Input 6000 credits / 1M tokens (≈ $30.00), Output 12000 credits / 1M tokens (≈ $60.00).
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GPT-4 API on ModelFold
GPT-4 is OpenAI’s earlier flagship large language model, known for solving difficult problems accurately thanks to its broad general knowledge and reasoning. It has an 8K-token context window. Try GPT-4 in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the GPT-4 API
GPT-4 at a glance
GPT-4 is a chat model from OpenAI. It accepts text as input and returns text, with a context window of up to 8K tokens.
Use it without hosting anything
On ModelFold you call GPT-4 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-4
Up to 8K 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-4 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-4 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-4 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-4" 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-4
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Writing and content
Draft, edit and translate articles, emails, product copy and documentation in a consistent tone.
Enterprise workflows
Automate internal processes such as reporting, knowledge-base Q&A, ticket handling and document review.
Tool-calling backends
Route requests, call functions and chain API calls as the worker model inside larger agent systems.
Frequently Asked Questions
What is GPT-4?⌄
GPT-4 is OpenAI’s earlier flagship large language model, known for solving difficult problems accurately thanks to its broad general knowledge and reasoning. It has an 8K-token context window.
Which inputs does GPT-4 support?⌄
GPT-4 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-4?⌄
Up to 8K tokens, shared between your input and the model’s output.
Does GPT-4 support function calling?⌄
Yes. GPT-4 supports tools / function calling through the standard tools parameter of the chat completions API.
How is GPT-4 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-4 through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "gpt-4", using your ModelFold API key as the Bearer token.
| Input | 6000 credits 1M tokens≈ $30.00 |
| Output | 12000 credits 1M tokens≈ $60.00 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →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-4","messages":[{"role":"user","content":"Hello"}]}'