Firecrawl Agent offers two models optimized for different use cases. Choose the right model based on your extraction complexity and cost requirements.
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 |
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.
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 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
Pass the model parameter to select which model to use:
from firecrawl import FirecrawlApp
app = FirecrawlApp(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)
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
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
Credit usage varies based on prompt complexity, data processed, and output structure — regardless of model selected.
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
See the Agent API Reference for complete parameter documentation.
Have questions about which model to use? Email [email protected]. 
