---
title: GPT-4 Turbo v1106 — Powerful LLM | ModelsLab
description: Access OpenAI: GPT-4 Turbo (older v1106) API for 128K context, vision, and function calling. Generate complex text now.
url: https://modelslab.com/openai-gpt-4-turbo-older-v1106
canonical: https://modelslab.com/openai-gpt-4-turbo-older-v1106
type: website
component: Seo/ModelPage
generated_at: 2026-05-05T20:32:45.820297Z
---

Available now on ModelsLab · Language Model

OpenAI: GPT-4 Turbo (older v1106)
Turbocharged GPT Intelligence
---

[Try OpenAI: GPT-4 Turbo (older v1106)](/models/open_router/openai-gpt-4-1106-preview) [API Documentation](https://docs.modelslab.com)

Unlock GPT-4 Turbo Power
---

Massive Context

### 128K Token Window

Process 300+ pages in one prompt with OpenAI: GPT-4 Turbo (older v1106) model.

Vision Enabled

### Text Plus Images

Handle vision requests using JSON mode and function calling in OpenAI: GPT-4 Turbo (older v1106).

Cost Efficient

### $10/30 Per Million

Run OpenAI: GPT-4 Turbo (older v1106) API at 3x cheaper input than GPT-4.

Examples

See what OpenAI: GPT-4 Turbo (older v1106) can create
---

Copy any prompt below and try it yourself in the [playground](/models/open_router/openai-gpt-4-1106-preview).

Code Generator

“Write a Python function to parse JSON from a 10,000-token API response, handle errors, and output structured data using type hints.”

Document Summary

“Summarize this 50,000-token legal contract: identify key clauses, risks, obligations, and suggest edits for clarity.”

Math Solver

“Solve this graduate-level math problem step-by-step: Compute the integral of ∫(x^2 + sin(x)) e^x dx from 0 to π, explain reasoning.”

JSON Builder

“Generate valid JSON schema for a user profile API with fields for name, email, preferences, and nested address object.”

For Developers

A few lines of code.
GPT-4 Turbo. One API call.
---

ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.

- **Serverless:** scales to zero, scales to millions
- **Pay per token,** no minimums
- **Python and JavaScript SDKs,** plus REST API

[API Documentation ](https://docs.modelslab.com)

PythonJavaScriptcURL

Copy

```
<code>import requests

response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())</code>
```

FAQ

Common questions about OpenAI: GPT-4 Turbo (older v1106)
---

[Read the docs ](https://docs.modelslab.com)

### What is OpenAI: GPT-4 Turbo (older v1106)?

Released November 6, 2023, it is OpenAI's GPT-4 Turbo preview with 128K context. Supports vision, JSON mode, function calling. Knowledge cutoff April 2023.

### How to use OpenAI: GPT-4 Turbo (older v1106) API?

Call via OpenAI-compatible endpoints like OpenRouter. Use openai/gpt-4-1106-preview ID. Supports text input, 4096 max output tokens.

### What is OpenAI: GPT-4 Turbo (older v1106) pricing?

$10 per million input tokens, $30 per million output. Cheaper than original GPT-4. Available through providers like OpenAI.

### Does OpenAI: GPT-4 Turbo (older v1106) model support vision?

Yes, processes text and images. Vision requests enable JSON mode and function calling. Ideal for image captioning or VQA.

### Is OpenAI: GPT-4 Turbo (older v1106) alternative reliable?

Active model with 451ms best latency, 4.5 tok/s throughput. High benchmarks: 80.6% MMLU Pro, 66.6% GPQA Diamond.

### What is openai gpt 4 turbo older v1106 context length?

128,000 tokens input. Max 4,096 output tokens. Handles long documents and conversations effectively.

Ready to create?
---

Start generating with OpenAI: GPT-4 Turbo (older v1106) on ModelsLab.

[Try OpenAI: GPT-4 Turbo (older v1106)](/models/open_router/openai-gpt-4-1106-preview) [API Documentation](https://docs.modelslab.com)

---

*This markdown version is optimized for AI agents and LLMs.*

**Links:**
- [Website](https://modelslab.com)
- [API Documentation](https://docs.modelslab.com)
- [Blog](https://modelslab.com/blog)

---
*Generated by ModelsLab - 2026-05-06*