What is GPT-4 Turbo API?
High-speed AI model for instant language processing. API for ChatGPT 4 Turbo.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 128,000 tokens / Max output: —
- Endpoint: /chat/completions
Performance Benchmarks
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GPT-4 Turbo API Pricing
- Input: $13 / 1M tokens
- Output: $39 / 1M tokens
Where to Use GPT-4 Turbo
Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
Code Sample
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Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Long-document analysis: GPT-4 Turbo is documented as suited to analyzing and summarizing long documents, including legal contracts, research papers, and other lengthy text where the model can keep the whole document in context.
Vision-based document and image tasks: GPT-4 Turbo accepts image inputs, and documented uses include reading documents with figures, analyzing screenshots and other visual content, generating captions, and processing images in document workflows.
Chatbots and assistants: GPT-4 Turbo is documented as a fit for sophisticated chatbots, customer-facing support automation, and assistants that maintain context over extended conversations.
Code and data workflows: The model is documented for writing code, debugging large codebases, extended coding sessions, and data analysis tasks that use code execution or structured processing.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "openai/gpt-4-turbo", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "openai/gpt-4-turbo", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"openai/gpt-4-turbo","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 7 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Coding | 21.5 | Composite score across standardised coding evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
GPT-4 Turbo has a 128,000 tokens context window.
GPT-4 Turbo takes image, text as input and returns text.
Use openai/gpt-4-turbo as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
GPT-4 Turbo became available on August 7, 2025.
GPT-4 Turbo is priced at input $13 / 1M tokens, output $39 / 1M tokens.
Yes, GPT-4 Turbo can stream responses as they are generated.
Yes, GPT-4 Turbo accepts image input alongside text.
GPT-4 Turbo was built by OpenAI.
Yes, GPT-4 Turbo supports function calling as part of its capabilities.
Yes, it supports structured output and can also make parallel tool calls.
