# Firecrawl vs LLM Gateway

Firecrawl records 1,828,239 monthly visits with -1.9% month-over-month growth and Freemium, Contact for Pricing pricing. LLM Gateway records 168,426 monthly visits with -14.5% growth and Freemium, Contact for Pricing pricing.

| Metric | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | [LLM Gateway](https://openaitools.app/tool/llm-gateway) |
| :--- | :--- | :--- |
| Website URL | https://www.firecrawl.dev | https://llmgateway.io |
| Categories | AI Data Mining, AI API, Large Language Models (LLMs), Open Source AI Models | AI API, AI Developer Tools, Large Language Models (LLMs), AI Models |
| Pricing Model | Freemium, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 1,828,239 | 168,426 |
| MoM Growth Rate | -1.9% | -14.5% |
| Primary Market | United States | South Korea |
| Direct Visits | 740,258 | 98,622 |
| Review Score | 4.7 | 4.6 |
| Saved Count | 2 | 0 |
| Supported Platforms | Website | Website |

## Firecrawl

Firecrawl positions itself as the infrastructure layer that helps AI systems find, read, and act on the live web. Instead of wrestling with headless browsers, proxy rotation, JavaScript rendering, and messy HTML, teams send Firecrawl a URL or a query and receive clean, token-efficient content that a model can consume directly. The platform bundles search, scrape, map, crawl, and interact endpoints so an agent can discover sources, pull their contents, and then click, type, or navigate within a page.

The product is developer-first: official Python and Node.js SDKs, a REST API, a CLI, and an MCP server make it easy to plug into frameworks such as LangChain, LlamaIndex, or any agent runtime. Reliability engineering is a headline claim, with published benchmarks for scrape coverage, latency, and token savings, plus smart waiting for dynamically loaded content and support for structured extraction schemas.

Firecrawl also maintains an open-source core alongside its hosted, usage-metered service, and it has expanded beyond raw scraping toward curated, licensed web content through its Alexandria program. Typical adopters include AI chat products, deep-research tools, agent builders, sales-intelligence teams, and onboarding flows that need fresh web context.

**Pricing & Plans:** Freemium: a free tier lets you start without a card, paid plans scale by credits/usage, and enterprise or high-volume deals are handled through contact sales.

- **Search, scrape, crawl, map:** Multiple endpoints cover discovery, single-page extraction, whole-site crawling, and URL mapping from one API.
- **LLM-ready output:** Returns Markdown, structured JSON, HTML, links, and screenshots while stripping navigation, ads, and footers to cut token usage.
- **Interact with pages:** After scraping, drive clicks, typing, scrolling, and navigation with prompts or code to reach data behind interaction.
- **Developer integrations:** Python and Node SDKs, REST API, CLI, and an MCP server let agents and IDEs connect in minutes.
- **Open-source core and reliability benchmarks:** A publicly developed core plus published coverage, latency, and token-efficiency benchmarks back the reliability claims.

**Strengths:** Handles JavaScript rendering, smart waits, and anti-bot complexity so you avoid maintaining your own scraper fleet; Token-efficient Markdown output reduces LLM input costs substantially; Rich integration surface: SDKs, REST, CLI, and MCP server for agent frameworks; Open-source core and published benchmarks improve transparency and trust

**Limitations:** Usage-based credits mean costs can grow quickly on large crawl jobs; Full feature depth may be overkill for teams that only need occasional single-page scraping; Coverage gaps remain on highly protected or login-gated sites

[Profile (Markdown)](https://openaitools.app/tool/firecrawl-dev.md)

## LLM Gateway

The core problem LLM Gateway solves is provider sprawl: separate API keys, separate dashboards, and code that breaks whenever you switch models. With the gateway in place, a single request can be routed to 250+ models across 40+ providers, and switching a model is often a one-string change. It ships with an AI SDK provider plus compatibility with any OpenAI SDK, cURL or language client, and supports chat completions, responses and image generation endpoints.

Beyond routing, the gateway is a control plane. Teams get unified key management, spend caps per API key or member, automatic failover that retries on another provider within the same request when a provider errors or rate-limits, and guardrails such as prompt-injection detection and PII redaction so sensitive data can be caught before a provider sees it. A dashboard covers requests, tokens, cost per 1K tokens, latency, error rates, cache hit rates and per-model/per-provider breakdowns, with audit logs and SSO on Enterprise.

Deployment is flexible: it can be run by the vendor as managed cloud with an SLA, or self-hosted via Docker or Kubernetes on your own infrastructure, which is what makes it attractive to privacy-sensitive teams. The core gateway is open source under AGPLv3, with source-available enterprise features. The company reports SOC 2 Type II compliance, and pricing starts with a bring-your-own-keys free tier, a small markup on credit top-ups for pay-as-you-go usage, and a custom Enterprise plan.

**Pricing & Plans:** LLM Gateway is freemium. Routing and analytics on your own provider keys are free forever with no credit card, pay-as-you-go credits are billed at provider list prices with a small top-up markup, the open-source core can be self-hosted at no cost, and Enterprise adds SSO, audit logs, guardrails, a 99.9% SLA and provider policy controls under a custom quote.

- **Unified OpenAI-compatible API:** Keep your existing OpenAI SDK code and change only the base URL to reach 250+ models from 40+ providers through one integration.
- **Automatic failover and routing:** If a provider errors, times out or rate-limits, the gateway can retry up to twice on another provider within the same request, so your app still gets a response.
- **Cost, latency and spend analytics:** Track requests, tokens, total spend and average cost per 1K tokens, plus per-model and per-provider breakdowns, cache hit rates and error monitoring.
- **Guardrails and key security:** Detect prompt injection, jailbreak attempts, PII, card numbers and secrets, then block, redact or warn; manage all provider keys in one scoped dashboard.
- **Self-hosted or managed deployment:** Run the AGPLv3 open-source gateway on your own Docker or Kubernetes infrastructure, or let the vendor host it as managed cloud with an SLA.

**Strengths:** One API key and one integration replace a pile of provider SDKs and dashboards; Open-source core under AGPLv3 with a genuine self-hosting path, not just a hosted SaaS; Depth of observability: cost, tokens, latency, errors, cache hits and per-project breakdowns; Built-in failover and spend caps live in the gateway rather than in application code

**Limitations:** The most valuable governance features — guardrails, SSO, audit logs and provider policy routing — are Enterprise-only; Pay-as-you-go credits carry a small markup over provider list prices, so high-volume users may prefer their own keys; A gateway adds an extra hop and a component to operate, which is overkill for teams using a single model

[Profile (Markdown)](https://openaitools.app/tool/llm-gateway.md)

## Frequently Asked Questions

### How do Firecrawl and LLM Gateway compare in monthly traffic?

Firecrawl has 1,828,239 monthly visits, while LLM Gateway has 168,426. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Firecrawl has a month-over-month growth rate of -1.9%; LLM Gateway has -14.5%.

### How does pricing compare?

Firecrawl: Freemium, Contact for Pricing. Freemium: a free tier lets you start without a card, paid plans scale by credits/usage, and enterprise or high-volume deals are handled through contact sales. LLM Gateway: Freemium, Contact for Pricing. LLM Gateway is freemium. Routing and analytics on your own provider keys are free forever with no credit card, pay-as-you-go credits are billed at provider list prices with a small top-up markup, the open-source core can be self-hosted at no cost, and Enterprise adds SSO, audit logs, guardrails, a 99.9% SLA and provider policy controls under a custom quote.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Offers broader multi-provider model routing with instant top-ups, but lacks self-hosted deployment flexibility. | [.md](https://openaitools.app/tool/openrouter-ai.md) |
| 2 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Massive marketplace of robust web scrapers and actors, but requires more configuration than Firecrawl's simple API. | [.md](https://openaitools.app/tool/apify.md) |
| 3 | [TinyFish](https://openaitools.app/tool/tinyfish) | 1,124,952 | +199.7% | Freemium, Contact for Pricing | Combines live web search and cloud browsers for agentic automation, but less specialized in clean markdown generation. | [.md](https://openaitools.app/tool/tinyfish.md) |
| 4 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Optimized for semantic web search and AI agent retrieval, but less focused on full-site markdown crawling. | [.md](https://openaitools.app/tool/exa-ai.md) |
| 5 | [Tavily](https://openaitools.app/tool/gpt-researcher) | 989,998 | -0.8% | Contact for Pricing | Bundles deep research agents and web search APIs, but less centered on raw site-to-markdown conversion. | [.md](https://openaitools.app/tool/gpt-researcher.md) |
| 6 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | Features adaptive LLM routing and automatic failover, but has a smaller ecosystem than established aggregators. | [.md](https://openaitools.app/tool/orcarouter.md) |
| 7 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Enterprise proxy infrastructure with powerful scraping tools, but significantly higher complexity and pricing for simple markdown conversion. | [.md](https://openaitools.app/tool/bright-data.md) |
| 8 | [LiteLLM](https://openaitools.app/tool/litellm) | 576,967 | +7.9% | Freemium, Contact for Pricing | Provides a robust open-source proxy and Python SDK for multi-LLM routing, but requires self-hosting infrastructure. | [.md](https://openaitools.app/tool/litellm.md) |
| 9 | [ZenMux](https://openaitools.app/tool/zenmux) | 444,394 | +16.7% | Freemium, Paid | Unifies access to 100+ frontier models with built-in chat UI, but offers fewer enterprise compliance integrations. | [.md](https://openaitools.app/tool/zenmux.md) |
| 10 | [Jina AI](https://openaitools.app/tool/jina-ai) | 280,782 | -16.5% | Freemium, Paid | Provides excellent URL-to-Markdown document reading and neural search endpoints, but narrower full-site crawling depth. | [.md](https://openaitools.app/tool/jina-ai.md) |

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Source: https://openaitools.app/compare/firecrawl-dev-vs-llm-gateway

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)