# Compare LLM API pricing for models with tool calling

**Use case:** 

For AI builders and FinOps teams who need current model prices before routing traffic. The run normalizes public model data for models that support tool calling and returns model ID, provider, prompt and completion price per million tokens, context length and capability flags as dataset rows.

## Input

```json
{
  "mode": "models",
  "capability": "tools",
  "task": "chat",
  "limit": 10
}
```

## Output

```json
{
  "model_id": {
    "label": "Model ID",
    "format": "text"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "provider_org": {
    "label": "Provider Org",
    "format": "text"
  },
  "providers_serving": {
    "label": "Providers Serving",
    "format": "array"
  },
  "pricing_per_1m_tokens": {
    "label": "Pricing per 1M Tokens",
    "format": "object"
  },
  "context_length": {
    "label": "Context Length",
    "format": "number"
  },
  "max_output_tokens": {
    "label": "Max Output Tokens",
    "format": "number"
  },
  "supports_vision": {
    "label": "Vision",
    "format": "boolean"
  },
  "supports_tools": {
    "label": "Tools",
    "format": "boolean"
  },
  "supports_json_mode": {
    "label": "JSON Mode",
    "format": "boolean"
  },
  "modality": {
    "label": "Modality",
    "format": "text"
  },
  "source": {
    "label": "Source",
    "format": "text"
  },
  "fetched_at": {
    "label": "Fetched At",
    "format": "date"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The LLM Provider Price and Latency Monitor Actor is ready to run with the inputs already set for "Compare LLM API pricing for models with tool calling". [Sign up or log in](https://console.apify.com/create-task-from-example/9Xq6wm9mWH0x5SqQR) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Compare LLM API pricing for models with tool calling" task

The LLM Provider Price and Latency Monitor Actor will start running based on the input automatically. You can also change all the input fields, like mode, capability, and more, to match your specific use case.

### 3. Receive the "Compare LLM API pricing for models with tool calling" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as model id, name, provider org, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Compare LLM API pricing for models with tool calling" task via API](https://apify.com/george.the.developer/llm-provider-price-latency-monitor.md).

## About this Actor

This example demonstrates how to use [LLM Provider Price and Latency Monitor](https://apify.com/george.the.developer/llm-provider-price-latency-monitor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/george.the.developer/llm-provider-price-latency-monitor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/george.the.developer/llm-provider-price-latency-monitor.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).