Google Gemini API vs Firecrawl
Gemini 2.5 Pro, Flash, Flash-Lite — multimodal + 2M context
vs. AI-native web scraping + crawling API — LLM-ready data extraction
Pricing tiers
Google Gemini API
Free Tier (AI Studio)
Generous free tier with rate limits. Good for dev + prototyping. Data may be used to improve Google products.
Free
Paid API (Gemini API)
Pay-as-you-go per-token. Data NOT used for training.
$0 base (usage-based)
Vertex AI (GCP)
Enterprise deployment via Google Cloud. Same pricing structure + GCP features (IAM, VPC-SC, CMEK).
$0 base (usage-based)
Gemini Enterprise
Custom. Gemini 2.5 Deep Think model access + Google Workspace + Agentspace.
Custom
Firecrawl
Free
500 credits one-time. 2 concurrent requests. For exploration.
Free
Self-Hosted (OSS)
AGPL-3.0 licensed. Run on your own infra.
$0 base (usage-based)
Hobby
$19/month ($16 annual). 3,000 credits/month. 5 concurrent.
$19/mo
Standard
$99/month ($83 annual). 100,000 credits. 50 concurrent. Most popular.
$99/mo
Growth
$399/month ($333 annual). 500,000 credits. 100 concurrent.
$399/mo
Enterprise
Custom. Dedicated support + SLA, bulk discounts, zero-data retention, SSO, advanced security.
Custom
Free-tier quotas head-to-head
Comparing free-tier on Google Gemini API vs free on Firecrawl.
| Metric | Google Gemini API | Firecrawl |
|---|---|---|
| No overlapping quota metrics for these tiers. | ||
Features
Google Gemini API · 11 features
- Batch API — 50% discount for async processing.
- Code Execution — Python code interpreter tool (sandboxed).
- Context Caching — Cache system instructions + tools for up to 90% savings.
- File API — Upload large files (up to 2 GB) for multimodal prompts.
- Function Calling — JSON schema-based tool calling. Parallel supported.
- generateContent API — Core generation endpoint.
- Grounding with Search — Augment answers with Google Search results. Fact-checked citations returned.
- Model Tuning — Supervised fine-tuning via AI Studio.
- Multimodal Live API — Bidirectional streaming voice + video (WebSocket).
- Safety Settings — Configurable thresholds for harm categories.
- streamGenerateContent — Streaming variant with SSE.
Firecrawl · 16 features
- Batch Scrape — Scrape many URLs in parallel.
- Crawl — Crawl an entire site following links. Returns all pages.
- Custom Headers/Cookies — Scrape behind login via headers.
- Deep Research (beta) — AI agent that autonomously researches a query across many sites.
- Extract (AI) — Structured extraction with a JSON schema → Firecrawl runs LLM for you.
- JavaScript Rendering — Headless browser handles SPAs, React/Vue sites.
- LLM-Ready Markdown — Cleaned + normalized Markdown optimized for LLM ingestion.
- Map — Fast — returns all URLs on a site without fetching content.
- MCP Server — Official MCP for Claude / Cursor / Agents.
- Open Source (AGPL) — Self-host the entire stack via Docker.
- PDF Parsing — Extract text from PDFs.
- Residential Proxies — Bypass anti-bot + geoblocks (paid).
- Scrape — Single URL → clean markdown/JSON/HTML.
- Screenshots — Visual screenshot alongside content.
- Search (beta) — Google-like search API returning results + content.
- Structured Output — Extract to JSON schema via LLM.
Developer interfaces
| Kind | Google Gemini API | Firecrawl |
|---|---|---|
| CLI | — | Firecrawl CLI |
| SDK | @google/genai, google-genai-go, google-genai (Python) | firecrawl-go, firecrawl-js, firecrawl-py |
| REST | Gemini REST API, Vertex AI Endpoint | Firecrawl REST API |
| MCP | Gemini MCP | Firecrawl MCP Server |
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