# LLM Gateway vs TinyFish

LLM Gateway records 168,426 monthly visits with -14.5% month-over-month growth and Freemium, Contact for Pricing pricing. TinyFish records 1,124,952 monthly visits with +199.7% growth and Freemium, Contact for Pricing pricing.

| Metric | [LLM Gateway](https://openaitools.app/tool/llm-gateway) | [TinyFish](https://openaitools.app/tool/tinyfish) |
| :--- | :--- | :--- |
| Website URL | https://llmgateway.io | https://www.tinyfish.ai |
| Categories | AI API, AI Developer Tools, Large Language Models (LLMs), AI Models | AI API, AI Agent, AI Browsers, AI Web Scraping |
| Pricing Model | Freemium, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 168,426 | 1,124,952 |
| MoM Growth Rate | -14.5% | +199.7% |
| Primary Market | South Korea | United States |
| Direct Visits | 98,622 | 401,320 |
| Review Score | 4.6 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## 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)

## TinyFish

TinyFish describes itself as the web stack for AI agents: a serverless platform that lets agents search, extract, browse and act on the live web. Rather than a single point tool, it groups several products under one API key and one wallet — TinySearch for fresh, browser-rendered web search returned as structured JSON, TinyFetch for turning any URL into clean Markdown, JSON or HTML, TinyBrowser for real cloud browser sessions driven with Playwright, Puppeteer or CDP, TinyAgent for plain-English multi-step automation, and TinyMonitor for alerts when a page or topic changes.

The platform is aimed at production workloads rather than demos. It emphasises reliability and structure, real browser rendering instead of thin cached results, persistent session state, and the ability to handle authenticated flows. Supporting pieces include TinyVault for connecting 1Password or Bitwarden so credentials stay hidden from the model, TinyProfiles for saving signed-in sessions, and step-by-step run recordings so you can audit exactly what an agent did on a site.

TinyFish is designed to slot into existing developer stacks. It is promoted for use alongside Claude, ChatGPT, Cursor and other agent runtimes, offers an MCP connection, Python SDK and CLI, and is positioned for workloads such as price monitoring, record enrichment, deep research and supplier-portal automation. Entry-level search and fetch calls are free, while agent steps, browser minutes and monitoring checks are metered on a pay-as-you-go wallet basis, with an enterprise track for larger deployments.

**Pricing & Plans:** Freemium and usage-based. Search and basic fetch are free with no search fee, while TinyAgent is billed per step, TinyBrowser per minute and TinyMonitor per check from a prepaid wallet; new users can claim a small free credit. Enterprise plans are custom — confirm current rates on the pricing page.

- **TinySearch:** Real browser-rendered search that returns structured JSON with fresh, uncached results from the live web, with no search fee.
- **TinyFetch:** Convert any URL into token-efficient Markdown, JSON or HTML, stripping navigation bars, cookie banners and ads before they reach your model.
- **TinyBrowser:** Full cloud browser sessions with persistent state that you drive with Playwright, Puppeteer or the Chrome DevTools Protocol.
- **TinyAgent and TinyMonitor:** Give an agent a goal in plain English and it navigates, fills forms and returns structured results; monitoring fires alerts when a tracked page or topic changes.
- **One API key, one wallet:** Search, fetch, browser and agent products share single authentication and billing, plus an MCP connection, Python SDK and CLI.

**Strengths:** Consolidates search, fetch, browsing, agent automation and monitoring behind one API key and wallet; Browser-rendered, uncached results rather than thin cached snippets; Free search and fetch tiers lower the cost per task compared to several paid search APIs; Strong developer ergonomics: MCP, Python SDK, CLI and integrations with popular agent runtimes

**Limitations:** Agent steps, browser minutes and monitoring checks are metered, so heavy automation volumes add up; More complex auth flows still carry the usual fragility of driving third-party sites; It is infrastructure for builders — not aimed at non-technical end users

[Profile (Markdown)](https://openaitools.app/tool/tinyfish.md)

## Frequently Asked Questions

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

LLM Gateway has 168,426 monthly visits, while TinyFish has 1,124,952. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

LLM Gateway has a month-over-month growth rate of -14.5%; TinyFish has +199.7%.

### How does pricing compare?

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. TinyFish: Freemium, Contact for Pricing. Freemium and usage-based. Search and basic fetch are free with no search fee, while TinyAgent is billed per step, TinyBrowser per minute and TinyMonitor per check from a prepaid wallet; new users can claim a small free credit. Enterprise plans are custom — confirm current rates on the pricing page.

## 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 | Features a massive marketplace of ready-to-run scrapers, though it operates more as an actor platform than a raw API. | [.md](https://openaitools.app/tool/apify.md) |
| 3 | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | 1,828,239 | -1.9% | Freemium, Contact for Pricing | Provides cleaner LLM-ready markdown conversion and crawling, but lacks TinyFish's interactive cloud browser automation capabilities. | [.md](https://openaitools.app/tool/firecrawl-dev.md) |
| 4 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Offers superior neural web search designed for AI agents, but provides less comprehensive raw browser automation tools. | [.md](https://openaitools.app/tool/exa-ai.md) |
| 5 | [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) |
| 6 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Delivers enterprise-grade proxy networks and scraping infrastructure, but involves a steeper learning curve than TinyFish. | [.md](https://openaitools.app/tool/bright-data.md) |
| 7 | [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) |
| 8 | [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) |
| 9 | [Jina AI](https://openaitools.app/tool/jina-ai) | 280,782 | -16.5% | Freemium, Paid | Excels at converting URLs into clean markdown and embeddings, but lacks dedicated browser actuation and live search endpoints. | [.md](https://openaitools.app/tool/jina-ai.md) |
| 10 | [AiHubMix](https://openaitools.app/tool/aihubmix) | 238,455 | -16.1% | Contact for Pricing | One API key for hundreds of AI models | [.md](https://openaitools.app/tool/aihubmix.md) |

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

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