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What is Kilo Gateway?

Kilo Gateway acts as a multifaceted AI inference channel, enabling developers to submit requests for Large Language Models (LLMs) to numerous providers through a unified endpoint, which allows access to a wide array of hosted and open models without needing to alter their applications for different services. It facilitates smooth interactions with models from renowned providers such as Anthropic, OpenAI, and Mistral, while also supporting bring-your-own-key configurations that allow teams to leverage their existing provider credentials within a unified platform. The gateway is built to integrate seamlessly with standard AI SDKs, making it easy for developers to change providers without any disruption to their integration surface. By efficiently handling routing complexities and load balancing between direct providers and external gateways, it significantly improves system resilience and availability. Moreover, the Auto Model feature adeptly channels each request to the most appropriate model, ensuring that routing decisions, model performance, and usage metrics are clear and manageable for the end-users. This capability not only simplifies the development process but also offers adaptability as the field of AI models continues to progress, thereby ensuring that developers can stay at the forefront of innovation. Ultimately, Kilo Gateway provides a robust solution that caters to the evolving needs of developers in the dynamic AI landscape.

What is AI Gateway HQ?

AI Gateway HQ functions as a comprehensive management platform that centralizes AI connectivity, enabling organizations to link their various applications, coding agents, and automation tools with multiple model providers. By offering API endpoints compatible with major players like OpenAI and Anthropic, it efficiently handles requests while managing provider credentials, model aliases, workload keys, and fallback protocols. Administrators can implement strict identity and access controls, monitor request metadata, oversee budgets related to organization and workloads, set rate and concurrency limitations, and analyze routing, usage, costs, and adherence to established policies. Moreover, users have the flexibility to either integrate their own provider API credentials or select a managed solution through Amazon Bedrock, which operates on a prepaid credit basis. Configuration and governance of requests can be easily accomplished via a user-friendly browser-based console and API, which supports established client setups that include Codex CLI, Claude Code, and OpenCode. This platform empowers teams to streamline their AI access, manage both model usage and associated costs, and consistently track operational metrics across various applications and environments, thereby ensuring accountability and efficiency in their AI efforts. Ultimately, the service not only enhances organizational AI strategies but also reinforces control over resource allocation and compliance, fostering a structured approach to AI implementation. Organizations can thus maximize their return on investment while navigating the complexities of AI deployment.

Media

Media

Integrations Supported

Anthropic
Mistral AI
OpenAI
Claude Opus 4.8
Python
Vercel

Integrations Supported

Anthropic
Mistral AI
OpenAI
Amazon Bedrock
Azure OpenAI Service
Claude Code
Codex CLI
DeepSeek
Fireworks AI
Gemini
Groq
Microsoft Entra ID
Okta
OpenCode
OpenRouter
Terraform
Together AI

API Availability

Has API

API Availability

Has API

Pricing Information

$19 per month
Free Version

Pricing Information

$499/month
A limited free evaluation includes a no-card Test Lab, $1 of gateway-request credit (not model credit), one administrator, two provider credentials, and seven-day metadata retention. Flex has no monthly base charge and costs $0.10 per 1,000 successful requests, prepaid; provider inference is billed separately. Company is $499/month for up to 2 million successful requests per UTC calendar month. Portfolio is $1,500/month base for up to 10 million requests. Hosted enterprise starts at $36,000/year. Private-deployment design starts at $60,000/year; this is not a self-service deployment license. Taxes, provider inference, and separately contracted services may add costs.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Kilo

Date Founded

2025

Company Location

United States

Company Website

kilo.ai/gateway

Company Facts

Organization Name

AI Gateway HQ

Date Founded

2026

Company Location

United States

Company Website

aigatewayhq.com

Categories and Features

AI Gateways

Not specified

LLM Routers

Not specified

Categories and Features

AI Gateways

Not specified

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