Name: GPT-4o – Multimodal Text & Vision | Free · $1/mo | API.market
Brand: swift-api
SKU: api-swift-api-gpt4o
Availability: InStock
Rating: 5.00 (1 reviews)
Author: API Market

Swift API

![image](https://i.imgur.com/90S3haq.png)

## Introduction
GPT-4o (“o” for “omni”) is the most advanced model. It is multimodal (accepting text or image inputs and outputting text), and it has the same high intelligence as GPT-4 Turbo but is much more efficient—it generates text 2x faster and is 50% cheaper. Additionally, GPT-4o has the best vision and performance across non-English languages of any of our models. GPT-4o is available in the OpenAI API to paying customers

# Documentation

## Simple Use
```json
curl https://api.magicapi.dev/api/v1/swift-api/gpt4o/chat/completions /
  -H "Content-Type: application/json" \
  -H "x-api-market-key: YOUR_API_KEY" \

  -d '{
    "model": "gpt-4o",
    "messages": [
      {
        "role": "system",
        "content": "You are a helpful assistant."
      },
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ]
  }'
```

---

## Structured Outputs (JSON Mode)

JSON is one of the most widely used formats in the world for applications to exchange data.

Structured Outputs is a feature that ensures the model will always generate responses that adhere to your supplied JSON Schema, so you don't need to worry about the model omitting a required key, or hallucinating an invalid enum value.

Some benefits of Structed Outputs include:

- Reliable type-safety: No need to validate or retry incorrectly formatted responses
- Explicit refusals: Safety-based model refusals are now programmatically detectable
- Simpler prompting: No need for strongly worded prompts to achieve consistent formatting

Structured Outputs is available in two forms in the OpenAI API:

- When using function calling
- When using a json_schema response format

Function calling is useful when you are building an application that bridges the models and functionality of your application.

For example, you can give the model access to functions that query a database in order to build an AI assistant that can help users with their orders, or functions that can interact with the UI.

Conversely, Structured Outputs via response_format are more suitable when you want to indicate a structured schema for use when the model responds to the user, rather than when the model calls a tool.

For example, if you are building a math tutoring application, you might want the assistant to respond to your user using a specific JSON Schema so that you can generate a UI that displays different parts of the model's output in distinct ways.

Put simply:

- If you are connecting the model to tools, functions, data, etc. in your system, then you should use function calling
- If you want to structure the model's output when it responds to the user, then you should use a structured response_format

### JSON Mode Examples
```json
curl https://api.magicapi.dev/api/v1/swift-api/gpt4o/chat/completions /
  -H "x-api-market-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {
        "role": "system",
        "content": "You are a helpful math tutor. Guide the user through the solution step by step."
      },
      {
        "role": "user",
        "content": "how can I solve 8x + 7 = -23"
      }
    ],
    "response_format": {
      "type": "json_schema",
      "json_schema": {
        "name": "math_reasoning",
        "schema": {
          "type": "object",
          "properties": {
            "steps": {
              "type": "array",
              "items": {
                "type": "object",
                "properties": {
                  "explanation": { "type": "string" },
                  "output": { "type": "string" }
                },
                "required": ["explanation", "output"],
                "additionalProperties": false
              }
            },
            "final_answer": { "type": "string" }
          },
          "required": ["steps", "final_answer"],
          "additionalProperties": false
        },
        "strict": true
      }
    }
  }'
```

Response will be 
```json
{
  "steps": [
    {
      "explanation": "Start with the equation 8x + 7 = -23.",
      "output": "8x + 7 = -23"
    },
    {
      "explanation": "Subtract 7 from both sides to isolate the term with the variable.",
      "output": "8x = -23 - 7"
    },
    {
      "explanation": "Simplify the right side of the equation.",
      "output": "8x = -30"
    },
    {
      "explanation": "Divide both sides by 8 to solve for x.",
      "output": "x = -30 / 8"
    },
    {
      "explanation": "Simplify the fraction.",
      "output": "x = -15 / 4"
    }
  ],
  "final_answer": "x = -15 / 4"
}
```

Advanced multimodal AI for text and vision tasks. 50% cheaper and 2x faster than GPT-4 Turbo. Free 1000 calls/mo, from $1/mo. Start free on API.market.

GPT-4o – Multimodal Text & Vision | Free · $1/mo | API.market

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I'm glad I found this market, it is just what I need, works very well ! Recommend.