AI Tool

ngrok AI Gateway Review

ngrok AI Gateway is a hosted middleware layer that routes, secures, and observes AI requests across various AI providers and models, including self-hosted ones.

shipped Aug 5, 2026codepaid

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Why it matters

1Offers a processing fee of $0.00005 per 1k tokens ($0.05 per million tokens) when using ngrok-managed keys.

2Provides HTTP request rate limits of 4,000/min for the Free plan and 20,000/min for Hobbyist and Pay-as-you-go plans.

3Achieved SOC 2 Type 2 compliance and offers HIPAA alignment with a Business Associate Agreement (BAA) available.

4Integrates with OpenAI SDK, Anthropic SDK, and Vercel AI SDK for streamlined development.

About ngrok AI Gateway

Business Model

Usage-Based (Pay Per Use)

Usage Pricing

$0.05 per million tokens

Headquarters

San Francisco, USA

Platforms

Web, API

Target Audience

Developers and Teams using AI Models

Pricing Plans

Routing Fee

$0.05 / per million tokens

• Cost of inference is added separately
• Credits purchased upfront

Cost Examples

• Route 1 million tokens: $0.05

Leadership

Alan HohnCo-founder

M. CareyCo-founder

API Docs GitHub

Specs

API Docs

View Documentation →

GitHub

View Repository →

API Available

Yes, public API

Screenshots

overview

What is ngrok AI Gateway?

ngrok AI Gateway is an AI gateway tool developed by ngrok that enables AI Developers, Engineers, Startups building AI products, and Enterprises using AI models to connect various AI models and providers through a single hosted gateway. It offers observability and access control, allowing users to manage API keys and routing without the need for complex infrastructure. The platform provides a unified, OpenAI-compatible endpoint for interacting with multiple AI providers (e.g., OpenAI, Anthropic, Google, DeepSeek, OpenRouter) and local models (e.g., Ollama, vLLM, LM Studio). Key capabilities include automatic failover, load balancing, centralized API key management, and detailed observability for AI traffic, including token counting, usage metrics, latency, and error tracking. It also facilitates secure connection to self-hosted models, integrating them with cloud providers without direct public internet exposure.

features

Key Features of ngrok AI Gateway

ngrok AI Gateway provides a comprehensive set of features designed to streamline the development and deployment of AI applications by centralizing model access, security, and observability.

Connect AI models seamlessly: Provides a single endpoint to route requests to multiple AI providers (OpenAI, Anthropic, Google) and self-hosted models.
Manage keys easily: Centralizes API key management for various providers, simplifying authorization and credential handling.
Access control for applications: Enables granular access control to define which applications or users can access specific models.
Observability of costs and usage: Offers detailed logging, token counting, usage metrics, latency, and error tracking for AI requests.
Smart error handling: Implements mechanisms for robust error management and debugging of AI traffic.
Automatic failover across models, providers, and API keys: Ensures application reliability by rerouting requests to alternative models or providers upon failure.
Load balancing: Distributes AI traffic across multiple models or providers to optimize performance and resource utilization.
Logging and debugging for AI traffic and requests: Provides tools for monitoring and troubleshooting AI interactions.
SOC 2 Type 2 compliant: Adheres to industry standards for security and availability.
HIPAA alignment with BAA available: Supports healthcare-related AI workloads with necessary compliance.

use cases

Who Should Use ngrok AI Gateway?

ngrok AI Gateway is designed for a range of technical users and organizations involved in AI application development and deployment, particularly those seeking to manage diverse AI models efficiently and securely.

AI Developers and Engineers: For routing AI requests to multiple providers (e.g., OpenAI, Anthropic, Google) and self-hosted models via a single endpoint.
Startups building AI products: For automating failover across models, providers, and API keys to ensure reliability and streamline development.
Enterprises using AI models: For securing AI endpoints with access controls, managing API keys and credentials, and connecting to self-hosted models and customer on-premise data securely.
Teams requiring observability: For providing observability, logging, and debugging for AI traffic and requests to track costs and performance.

how to use

How to Use ngrok AI Gateway

To begin using ngrok AI Gateway, users can access the dedicated dashboard at app.ngrok.ai to configure models, access controls, and manage API keys. The platform provides an OpenAI-compatible API for seamless integration.

1Sign up or log in to the ngrok AI Gateway dashboard at app.ngrok.ai.
2Create an AI Gateway API Key and, if desired, attach your own provider keys (e.g., OpenAI, Anthropic) to it.
3Configure routing policies to direct AI requests to specific models or providers, including self-hosted LLMs.
4Integrate your application using the OpenAI-compatible API endpoint provided by ngrok AI Gateway.
5Monitor AI traffic, usage, and costs through the dashboard's observability features.
6Utilize features like automatic failover and load balancing to enhance application resilience and performance.

pricing

ngrok AI Gateway Pricing & Plans

ngrok AI Gateway operates on a usage-based pricing model, primarily charging a processing fee for tokens when using ngrok-managed keys. The actual inference costs for input and output tokens are passed through at the underlying AI provider's rate or billed directly by the provider if 'Bring Your Own Keys' (BYOK) is utilized. New accounts receive $1 in credit upon signing up for the app.ngrok.ai experience.

Routing Fee: $0.00005 per 1k tokens ($0.05 per million tokens) when using ngrok-managed keys.
Free Plan: Includes AI Gateway HTTP Request Rate Limits of 4,000 requests per minute.
Hobbyist and Pay-as-you-go Plans: Include AI Gateway HTTP Request Rate Limits of 20,000 requests per minute.
General ngrok API Rate Limits: 120 requests over a rolling 60-second window apply to the broader ngrok API.

Pros

+Provides a single, OpenAI-compatible endpoint for multiple AI providers and self-hosted models, simplifying integration.
+Offers robust automatic failover and load balancing, enhancing application resilience and performance.
+Centralizes API key management and provides granular access control, improving security and operational efficiency.
+Delivers comprehensive observability with token counting, usage metrics, latency, and error tracking for AI requests.
+Facilitates secure connection to self-hosted models without direct public internet exposure, integrating local LLMs seamlessly.
+Achieved SOC 2 Type 2 compliance and offers HIPAA alignment with a BAA, addressing enterprise-level security and regulatory needs.

Cons

−The processing fee of $0.00005 per 1k tokens is an additional cost on top of underlying AI provider inference fees when using ngrok-managed keys.
−While offering a Free plan, higher rate limits and advanced features are tied to paid plans, potentially increasing costs for high-volume users.
−Some users have reported initial perceptions of it being a 'LiteLLM wrapper,' indicating a need for clearer differentiation in the market.
−General ngrok reviews mention billing opacity and slow email support, which could extend to the AI Gateway service.

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ngrok AI Gateway vs Competitors

ngrok AI Gateway positions itself as a 'control tower' or middleware layer for AI models, integrating AI model routing with ngrok's established global networking infrastructure. It differentiates itself by offering a hosted solution that simplifies management and security for both cloud-based and self-hosted AI models.

LiteLLM↗

Provides a unified OpenAI-compatible API to over 140 LLM providers and 1,800+ models, with extensive self-hosting capabilities and cost optimization features like auto-routing and caching.

While ngrok AI Gateway is a hosted solution, LiteLLM is open-source and self-hostable, offering more control over your infrastructure and data, but requiring you to manage the deployment.

Portkey.aiOn Stork

Offers a comprehensive LLM observability and gateway platform with features like prompt management, A/B testing, and guardrails, alongside unified API access and key management.

Portkey.ai provides a hosted solution with a strong focus on observability and prompt management, whereas ngrok AI Gateway emphasizes networking and access control for AI services. Portkey's pricing is based on 'recorded logs' rather than tokens directly.

Helicone.aiOn Stork

Specializes in LLM observability with detailed logging, request tracing, and analytics, combined with gateway features for routing and cost tracking.

Helicone.ai is a hosted platform with a strong emphasis on detailed observability and analytics for LLM requests, while ngrok AI Gateway focuses more broadly on secure access and management for various AI services.

freellmapi↗

An OpenAI-compatible proxy that intelligently routes requests across free tiers of multiple LLM providers, with automatic failover and an admin dashboard for key management and analytics.

freellmapi is a self-hostable, open-source proxy specifically designed to maximize usage of free LLM API tiers and manage multiple keys, which is a more niche focus compared to ngrok AI Gateway's broader AI service access and control.

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