# Models (/features/models)

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Firecrawl Agent offers two models optimized for different use cases. Choose the right model based on your extraction complexity and cost requirements.

## Available Models [#available-models]

| Model          | Cost            | Accuracy | Best For                              |
| -------------- | --------------- | -------- | ------------------------------------- |
| `spark-1-mini` | **60% cheaper** | Standard | Most tasks (default)                  |
| `spark-1-pro`  | Standard        | Higher   | Complex research, critical extraction |

<Tip>
  **Start with Spark 1 Mini** (default) — it handles most extraction tasks well at 60% lower cost. Switch to Pro only for complex multi-domain research or when accuracy is critical.
</Tip>

## Spark 1 Mini (Default) [#spark-1-mini-default]

`spark-1-mini` is our efficient model, ideal for straightforward data extraction tasks.

**Use Mini when:**

* Extracting simple data points (contact info, pricing, etc.)
* Working with well-structured websites
* Cost efficiency is a priority
* Running high-volume extraction jobs

**Example use cases:**

* Extracting product prices from e-commerce sites
* Gathering contact information from company pages
* Pulling basic metadata from articles
* Simple data point lookups

## Spark 1 Pro [#spark-1-pro]

`spark-1-pro` is our flagship model, designed for maximum accuracy on complex extraction tasks.

**Use Pro when:**

* Performing complex competitive analysis
* Extracting data that requires deep reasoning
* Accuracy is critical for your use case
* Dealing with ambiguous or hard-to-find data

**Example use cases:**

* Multi-domain competitive analysis
* Complex research tasks requiring reasoning
* Extracting nuanced information from multiple sources
* Critical business intelligence gathering

## Specifying a Model [#specifying-a-model]

Pass the `model` parameter to select which model to use:

<CodeGroup>
  <CodeBlockTabs defaultValue="Python" groupId="curl+node+python">
    <CodeBlockTabsList>
      <CodeBlockTabsTrigger value="Python">
        Python
      </CodeBlockTabsTrigger>

      <CodeBlockTabsTrigger value="Node">
        Node
      </CodeBlockTabsTrigger>

      <CodeBlockTabsTrigger value="cURL">
        cURL
      </CodeBlockTabsTrigger>
    </CodeBlockTabsList>

    <CodeBlockTab value="Python">
      ```python  
      from firecrawl import Firecrawl

      app = Firecrawl(api_key="fc-YOUR_API_KEY")

      # Using Spark 1 Mini (default - can be omitted)
      result = app.agent(
          prompt="Find the pricing of Firecrawl",
          model="spark-1-mini"
      )

      # Using Spark 1 Pro for complex tasks
      result = app.agent(
          prompt="Compare all enterprise features and pricing across Firecrawl, Apify, and ScrapingBee",
          model="spark-1-pro"
      )

      print(result.data)
      ```
    </CodeBlockTab>

    <CodeBlockTab value="Node">
      ```js  
      import { Firecrawl } from 'firecrawl';

      const firecrawl = new Firecrawl({ apiKey: "fc-YOUR_API_KEY" });

      // Using Spark 1 Mini (default - can be omitted)
      const result = await firecrawl.agent({
        prompt: "Find the pricing of Firecrawl",
        model: "spark-1-mini"
      });

      // Using Spark 1 Pro for complex tasks
      const resultPro = await firecrawl.agent({
        prompt: "Compare all enterprise features and pricing across Firecrawl, Apify, and ScrapingBee",
        model: "spark-1-pro"
      });

      console.log(result.data);
      ```
    </CodeBlockTab>

    <CodeBlockTab value="cURL">
      ```bash  
      # Using Spark 1 Mini (default)
      curl -X POST "https://api.firecrawl.dev/v2/agent" \
        -H "Authorization: Bearer $FIRECRAWL_API_KEY" \
        -H "Content-Type: application/json" \
        -d '{
          "prompt": "Find the pricing of Firecrawl",
          "model": "spark-1-mini"
        }'

      # Using Spark 1 Pro for complex tasks
      curl -X POST "https://api.firecrawl.dev/v2/agent" \
        -H "Authorization: Bearer $FIRECRAWL_API_KEY" \
        -H "Content-Type: application/json" \
        -d '{
          "prompt": "Compare all enterprise features and pricing across Firecrawl, Apify, and ScrapingBee",
          "model": "spark-1-pro"
        }'
      ```
    </CodeBlockTab>
  </CodeBlockTabs>
</CodeGroup>

## Model Comparison [#model-comparison]

| Feature          | Spark 1 Mini | Spark 1 Pro   |
| ---------------- | ------------ | ------------- |
| **Cost**         | 60% cheaper  | Standard      |
| **Accuracy**     | Standard     | Higher        |
| **Speed**        | Fast         | Fast          |
| **Best for**     | Most tasks   | Complex tasks |
| **Reasoning**    | Standard     | Advanced      |
| **Multi-domain** | Good         | Excellent     |

## Pricing by Model [#pricing-by-model]

Both models use dynamic, credit-based pricing that scales with task complexity:

* **Spark 1 Mini**: Uses approximately 60% fewer credits than Pro for equivalent tasks
* **Spark 1 Pro**: Standard credit consumption for maximum accuracy

<Info>
  Credit usage varies based on prompt complexity, data processed, and output structure — regardless of model selected.
</Info>

## Choosing the Right Model [#choosing-the-right-model]

```
                    ┌─────────────────────────────────┐
                    │   What type of task?            │
                    └─────────────────────────────────┘
                                   │
                    ┌──────────────┴──────────────┐
                    ▼                             ▼
          ┌─────────────────┐           ┌─────────────────┐
          │  Simple/Direct  │           │ Complex/Research│
          │  extraction     │           │ multi-domain    │
          └─────────────────┘           └─────────────────┘
                    │                             │
                    ▼                             ▼
          ┌─────────────────┐           ┌─────────────────┐
          │  spark-1-mini   │           │  spark-1-pro    │
          │  (60% cheaper)  │           │  (higher acc.)  │
          └─────────────────┘           └─────────────────┘
```

## API Reference [#api-reference]

See the [Agent API Reference](/api-reference/endpoint/agent) for complete parameter documentation.

Have questions about which model to use? Email [help@firecrawl.com](mailto:help@firecrawl.com).

> Are you an AI agent that needs a Firecrawl API key? See [firecrawl.dev/agent-onboarding/SKILL.md](https://www.firecrawl.dev/agent-onboarding/SKILL.md) for automated onboarding instructions.