Name: GPT-4.1 mini – Low-Latency AI | Free · $1/mo | API.market
Brand: swift-api
SKU: api-swift-api-gpt-4-1-mini
Availability: InStock
Author: API Market

Swift API

# GPT-4.1 mini
![image](https://i.ibb.co/GQT0022S/gpt-4-1-mini.png)
## Overview

The GPT-4.1 mini API provides access to a powerful AI model optimized for instruction following and tool calling.  This allows developers to easily integrate advanced language processing capabilities into their applications.  It features a large 1M token context window, enabling the processing of extensive text sequences, and offers low-latency responses by eliminating the reasoning step.  This makes it ideal for applications requiring quick and responsive interactions.

## Features

* **Instruction Following:**  Excels at understanding and executing user instructions.
* **Tool Calling:**  Capable of integrating with external tools for extended functionality (not implemented in this version).
* **1M Token Context Window:**  Processes large amounts of text, maintaining context and coherence.
* **Low Latency:**  Provides rapid responses without a reasoning step, ideal for real-time applications.
* **Content Filtering:**  Built-in content filters help prevent the generation of unsafe or inappropriate content.
* **Usage Metadata:**  Returns detailed usage information, enabling cost tracking and optimization.


## Use Cases

* **Interactive Chatbots:** Build highly engaging and responsive chatbots for customer service, lead generation, or entertainment. The large context window allows chatbots to maintain conversation history and provide contextually relevant responses.
* **Content Creation:** Generate various types of content, such as articles, blog posts, creative writing, and code.  The instruction following capability allows for fine-grained control over content generation.
* **Code Generation & Assistance:** Use the API to assist developers by generating code snippets, completing code, or providing explanations.  The low latency makes it ideal for real-time code completion suggestions in IDEs.
* **Data Analysis and Summarization:** Analyze large datasets and generate concise summaries.  The 1M token context window enables processing of extensive data sets, and the instruction following capability can guide the analysis towards specific insights.
* **Language Translation and Conversion:** Facilitate language translation, grammar correction, and text simplification. The instruction following capability enables customizing the output for different target audiences.


## Visual Examples

The following demonstrates a simple conversation with the model.

**Input Prompt:**

```text
There are ten birds in a tree. A hunter shoots one. How many are left in the tree?
```

**Output Response:**

```text
If a hunter shoots one bird, the noise would likely scare the other birds away. So, even though one bird is shot, the rest would typically fly off, leaving **0 birds** in the tree.
```



## Pricing

* 1 API unit equals 1 chat completion request.
* GET requests to check prediction status (`GET /api/v1/magicapi/gpt-4-1-mini/predictions/{id}`) are free and don't count toward API unit usage.
* Different pricing tiers are available based on usage volume. Please see API.market for detailed pricing information.


## API Documentation

### Base URL

All API requests should be made to: `https://prod.api.market/api/v1/magicapi/gpt-4-1-mini`


### Authentication

Authentication is handled via API key. Include your API key in the request header:

```
x-api-market-key: YOUR_API_MARKET_KEY
```


### Endpoints


#### Create Chat Completion

```
POST /api/v1/magicapi/gpt-4-1-mini/chat/completions
```

**Request Body:**

```json
{
  "model": "gpt-4.1-mini",
  "stream": false,
  "messages": [
    {
      "role": "user",
      "content": "There are ten birds in a tree. A hunter shoots one. How many are left in the tree?"
    }
  ]
}
```

**cURL Example:**

```bash
curl -X POST "https://prod.api.market/api/v1/magicapi/gpt-4-1-mini/chat/completions" \
-H "Content-Type: application/json" \
-H "x-api-market-key: YOUR_API_MARKET_KEY" \
-d '{
  "model": "gpt-4.1-mini",
  "stream": false,
  "messages": [
    {
      "role": "user",
      "content": "There are ten birds in a tree. A hunter shoots one. How many are left in the tree?"
    }
  ]
}'
```


**Response (200 OK):**

```json
{
  "id": "chatcmpl-CFJWVPlCose16sy2GzKWGeowqva9s",
  "object": "chat.completion",
  "created": 1757766003,
  "model": "gpt-4.1-mini-2025-04-14",
  "system_fingerprint": "fp_4f3d32ad4e",
  "choices": [
    {
      "index": 0,
      "finish_reason": "stop",
      "logprobs": null,
      "content_filter_results": {
        "hate": { "filtered": false, "severity": "safe" },
        "self_harm": { "filtered": false, "severity": "safe" },
        "sexual": { "filtered": false, "severity": "safe" },
        "violence": { "filtered": false, "severity": "safe" }
      },
      "message": {
        "role": "assistant",
        "content": "If a hunter shoots one bird, the noise would likely scare the other birds away. So, even though one bird is shot, the rest would typically fly off, leaving **0 birds** in the tree.",
        "refusal": null,
        "annotations": []
      }
    }
  ],
  "prompt_filter_results": [
    {
      "prompt_index": 0,
      "content_filter_results": {
        "hate": { "filtered": false, "severity": "safe" },
        "self_harm": { "filtered": false, "severity": "safe" },
        "sexual": { "filtered": false, "severity": "safe" },
        "violence": { "filtered": false, "severity": "safe" },
        "jailbreak": { "filtered": false, "detected": false }
      }
    }
  ],
  "usage": {
    "prompt_tokens": 28,
    "completion_tokens": 43,
    "total_tokens": 71,
    "prompt_tokens_details": {
      "audio_tokens": 0,
      "cached_tokens": 0
    },
    "completion_tokens_details": {
      "audio_tokens": 0,
      "reasoning_tokens": 0,
      "accepted_prediction_tokens": 0,
      "rejected_prediction_tokens": 0
    }
  }
}
```


## Status Codes

* **200 OK:** Request successful.
* **201 Created:**  Not used for this API.
* **400 Bad Request:** Invalid input parameters or malformed request.  Review the error message for details.
* **401 Unauthorized:** Missing or invalid API key.  Ensure you are using a valid API key and that it's included in the `x-api-market-key` header.
* **403 Forbidden:** Valid API key but insufficient permissions. Contact API.market support.
* **404 Not Found:** Resource not found.  Check the endpoint URL.
* **429 Too Many Requests:** Rate limit exceeded.  Reduce the frequency of requests or contact API.market for a higher rate limit.
* **500 Internal Server Error:** Server-side error.  Retry the request after a short delay. If the problem persists, contact API.market support.
* **503 Service Unavailable:** Service temporarily unavailable.  Retry the request after a short delay.


## Error Handling


Error responses are provided in JSON format with the following structure:


```json
{
  "error": {
    "code": "invalid_parameter",
    "message": "The parameter 'messages' is required",
    "status": 400
  }
}
```

Common errors include:

* **invalid_parameter:** One or more input parameters are invalid or missing.  Review the error message for details.
* **invalid_api_key:**  The provided API key is invalid or missing.


## Implementation Guide


### Example Code

**JavaScript (with proper polling and timeout):**

```javascript
// JavaScript example with proper polling and timeout
const apiKey = "YOUR_API_MARKET_KEY";
const baseUrl = "https://prod.api.market/api/v1/magicapi/gpt-4-1-mini";

async function createAndWaitForPrediction(inputData) {
  // ... (same as provided in prompt, including polling and timeout logic)
}
```

**Python (with proper polling and timeout):**

```python
# Python example with proper polling and timeout
import requests
import time

API_KEY = "YOUR_API_MARKET_KEY"
BASE_URL = "https://prod.api.market/api/v1/magicapi/gpt-4-1-mini"

def create_and_wait_for_prediction(input_data):
  // ... (same as provided in prompt, including polling and timeout logic)
}
```



### Performance Optimization

* **Batch Requests (Not Supported):**  Currently not supported for this API.
* **Context Window Management:** Efficiently utilize the context window by providing only necessary information.  Avoid including redundant or irrelevant data.



## FAQ

* **Q: What is the maximum context window size?**  A: The maximum context window size for GPT-4.1 mini is 1M tokens.
* **Q: What happens if my request exceeds the context window?** A: The API will return an error indicating the context window limit has been exceeded.  You'll need to reduce the size of your input.


## Contact Us

If you have any questions or need assistance, you can reach out to us through the embedded chat on the bottom right corner of the page or send an email to hello[at]api.market.


A low-latency AI model excelling at instruction following. Features a 1M token context window. Free 1000 calls/mo, from $1/mo. Try it free on API.market.

GPT-4.1 mini – Low-Latency AI | Free · $1/mo | API.market

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GPT-4.1 mini excels at instruction following and tool calling. It features a 1M token context window, and low latency without a reasoning step.

GPT-4.1 mini