# openai/gpt-5.4-nano

> GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-sensitive and high-volume tasks. It supports text input and is specifically designed for low-latency applications such as classification, data extraction, ranking, and sub-agent execution. The model prioritizes responsiveness and efficiency over deep reasoning, making it ideal for large-scale pipelines that demand fast and reliable outputs. GPT-5.4 nano is particularly well suited for background tasks, real-time systems, and distributed agent architectures where minimizing cost and latency is critical.

## Overview

- **Endpoint**: `https://api.shortapi.ai/v1/chat/completions`
- **Model ID**: `openai/gpt-5.4-nano`
- **Category**: llm
- **Kind**: text-generation

## Pricing

$0.02/M tokens input (cache hit) · $0.20/M tokens input (cache miss) · $1.25/M tokens output

For more details, please check our pricing page.

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.

### Input Schema

The API accepts the following input parameters (standard OpenAI format):

- **`model`** (`string`, _required_):
  Model ID

- **`messages`** (`array<object>`, _required_):
  List of conversation messages

  - **`role`** (`string`, _required_):
    Message Role
    - Options: "system", "user", "assistant", "tool", "developer"

  - **`content`** (`string | array<object>`, _required_):
    Message content

    - **`type`** (`string`, _optional_):
      - Options: "text", "image_url", "input_audio", "file", "video_url"

    - **`text`** (`string`, _optional_):

    - **`image_url`** (`object`, _optional_):

      - **`url`** (`string`, _required_):
        Image URL or base64

      - **`detail`** (`string`, _optional_):
        - Options: "auto", "low", "high"

    - **`input_audio`** (`object`, _optional_):

      - **`data`** (`string`, _optional_):
        Base64 encoded audio data

      - **`format`** (`string`, _optional_):
        - Options: "wav", "mp3"

    - **`file`** (`object`, _optional_):

      - **`file_id`** (`string`, _required_):
        File ID

      - **`filename`** (`string`, _optional_):

      - **`file_data`** (`string`, _optional_):

    - **`video_url`** (`object`, _optional_):

      - **`url`** (`string`, _optional_):

  - **`name`** (`string`, _optional_):
    Sender's Name

  - **`tool_calls`** (`array<object>`, _optional_):

    - **`id`** (`string`, _required_):

    - **`type`** (`string`, _required_):

    - **`function`** (`object`, _optional_):

      - **`name`** (`string`, _optional_):

      - **`arguments`** (`string`, _optional_):

  - **`tool_call_id`** (`string`, _optional_):
    Tool invocation ID (used for messages of the tool role)

  - **`reasoning_content`** (`string`, _optional_):
    Reasoning content

- **`temperature`** (`number`, _optional_):
  Sampling temperature
  - Default: `1`
  - Range: `0` to `2`

- **`top_p`** (`number`, _optional_):
  Nuclear sampling parameters
  - Default: `1`
  - Range: `0` to `1`

- **`stream`** (`boolean`, _optional_):
  Is it a streaming response?
  - Default: `false`

- **`stream_options`** (`object`, _optional_):

  - **`include_usage`** (`boolean`, _optional_):

- **`stop`** (`string | array<string>`, _optional_):
  Stop sequence

- **`max_tokens`** (`integer`, _optional_):
  Maximum number of generated tokens

- **`max_completion_tokens`** (`integer`, _optional_):
  Maximum number of completed tokens

- **`presence_penalty`** (`number`, _optional_):
  - Default: `0`
  - Range: `-2` to `2`

- **`frequency_penalty`** (`number`, _optional_):
  - Default: `0`
  - Range: `-2` to `2`

- **`logit_bias`** (`object`, _optional_):

- **`user`** (`string`, _optional_):

- **`tools`** (`array<object>`, _optional_):

  - **`type`** (`string`, _required_):

  - **`function`** (`object`, _required_):
    The function definition

    - **`name`** (`string`, _required_):

    - **`description`** (`string`, _optional_):

    - **`parameters`** (`object`, _optional_):
      Parameter definitions in JSON Schema format

- **`tool_choice`** (`string | object`, _optional_):

  - **`type`** (`string`, _optional_):

  - **`function`** (`object`, _optional_):
    The function definition

    - **`name`** (`string`, _optional_):

- **`response_format`** (`object`, _optional_):

  - **`type`** (`string`, _optional_):
    - Options: "text", "json_object", "json_schema"

  - **`schema`** (`object`, _optional_):
    JSON Schema definition

- **`seed`** (`integer`, _optional_):

- **`reasoning_effort`** (`string`, _optional_):
  Inference strength (the model used to support the inference)
  - Options: "low", "medium", "high"

- **`modalities`** (`array<string>`, _optional_):

- **`audio`** (`object`, _optional_):

  - **`format`** (`string`, _optional_):

  - **`voice`** (`string`, _optional_):

### Output Schema

The API returns a standard OpenAI JSON response.

```json
{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1677858242,
  "model": "gpt-4",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I help you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 25,
    "total_tokens": 35,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "text_tokens": 10,
      "audio_tokens": 0,
      "image_tokens": 0
    },
    "completion_tokens_details": {
      "text_tokens": 25,
      "audio_tokens": 0,
      "reasoning_tokens": 0
    }
  },
  "system_fingerprint": "fp_44709d6fcb"
}
```

## Use Example

### Bash (cURL)
```bash
curl --request POST \
  --url https://api.shortapi.ai/v1/chat/completions \
  --header "Authorization: Bearer $SHORTAPI_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "openai/gpt-5.4-nano",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": "Hello, how are you?"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 128000
}'
```

### JavaScript (Fetch API)
```javascript
const response = await fetch(`https://api.shortapi.ai/v1/chat/completions`, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${SHORTAPI_KEY}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    model: "openai/gpt-5.4-nano",
    messages: [
      { role: "system", content: "You are a helpful assistant." },
      { role: "user", content: "Hello, how are you?" }
    ],
    temperature: 0.7,
    max_tokens: 128000
  })
});
const data = await response.json();
```

### Python (Requests)
```python
import requests

url = "https://api.shortapi.ai/v1/chat/completions"
payload = {
    "model": "openai/gpt-5.4-nano",
    "messages": [
        { "role": "system", "content": "You are a helpful assistant." },
        { "role": "user", "content": "Hello, how are you?" }
    ],
    "temperature": 0.7,
    "max_tokens": 128000
}
headers = {
    "Authorization": f"Bearer {SHORTAPI_KEY}",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)
data = response.json()
```