BasetenPaid
A platform for deploying and serving machine-learning models in production, with autoscaling, fast cold starts, and GPU infrastructure managed for you.
AI Infrastructure comparison
Pricing, pros, cons, and ideal use cases — side by side.
A platform for deploying and serving machine-learning models in production, with autoscaling, fast cold starts, and GPU infrastructure managed for you.
Turns any website into clean, structured markdown or JSON for AI pipelines — scrape, crawl, map, and search with published per-credit pricing.
| Baseten | Firecrawl | |
|---|---|---|
| Pricing | PaidUsage-based pricing tied to the compute your deployed models consume. | FreemiumFree 1,000 credits/month. Hobby $16/mo for 5,000. Standard $83/mo for 100,000 with 50 concurrent requests. Growth $333/mo for 500,000. Scale $599/mo for 1,000,000. Enterprise custom. Prices billed yearly. Scrape, crawl, map, and monitor cost 1 credit per page; search costs 2 credits per 10 results. |
| Category | AI Infrastructure | AI Infrastructure |
| Ideal for | Teams deploying custom or fine-tuned modelsEnterprises needing dedicated, autoscaling model servingOrgs that want to avoid managing GPU infrastructure | Teams building competitor and market monitoring workflowsLead enrichment and research pipelinesRAG ingestion from public web sourcesDevelopers replacing brittle in-house scrapers |
Firecrawl is the lighter-weight option (Freemium), while Baseten sits higher on the pricing ladder (Paid). Baseten is built around teams deploying custom or fine-tuned models; Firecrawl leans more toward teams building competitor and market monitoring workflows. Shortlist the one whose strengths line up with your biggest constraint.