Best AI Gateways for Azure OpenAI Service

Find and compare the best AI Gateways for Azure OpenAI Service in 2026

Use the comparison tool below to compare the top AI Gateways for Azure OpenAI Service on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    AI Gateway HQ Reviews

    AI Gateway HQ

    AI Gateway HQ

    $499/month
    AI Gateway HQ serves as a centralized AI gateway and management platform that helps organizations link their applications, coding agents, and automation tools to various model providers. It offers API endpoints that are compatible with OpenAI and Anthropic, efficiently routing requests through a system that manages provider credentials, model aliases, workload keys, and fallback mechanisms. Administrators have the ability to enforce identity and access policies, track request metadata, manage organizational and workload budgets, establish rate and concurrency limits, and analyze routing, usage, costs, and compliance with policies. Additionally, the service allows users to integrate their own provider API credentials or opt for a managed Amazon Bedrock solution that utilizes prepaid credits. Users can configure and govern their requests through a browser-based console and API, with established client setups that feature Codex CLI, Claude Code, and OpenCode. Teams leverage this platform to streamline AI access, manage model utilization and financial outlay, and continuously monitor operational metrics across different applications and environments, ensuring efficiency and accountability in their AI initiatives. Overall, the platform empowers organizations to optimize their AI strategies while maintaining control over resource allocation and compliance.
  • 2
    LiteLLM Reviews
    LiteLLM serves as a comprehensive platform that simplifies engagement with more than 100 Large Language Models (LLMs) via a single, cohesive interface. It includes both a Proxy Server (LLM Gateway) and a Python SDK, which allow developers to effectively incorporate a variety of LLMs into their applications without hassle. The Proxy Server provides a centralized approach to management, enabling load balancing, monitoring costs across different projects, and ensuring that input/output formats align with OpenAI standards. Supporting a wide range of providers, this system enhances operational oversight by creating distinct call IDs for each request, which is essential for accurate tracking and logging within various systems. Additionally, developers can utilize pre-configured callbacks to log information with different tools, further enhancing functionality. For enterprise clients, LiteLLM presents a suite of sophisticated features, including Single Sign-On (SSO), comprehensive user management, and dedicated support channels such as Discord and Slack, ensuring that businesses have the resources they need to thrive. This holistic approach not only improves efficiency but also fosters a collaborative environment where innovation can flourish.
  • 3
    Openlayer Reviews
    Openlayer is the enterprise AI governance platform for discovering, testing, monitoring, securing, and governing AI systems from development through production. Openlayer brings AI evaluation, observability, guardrails, compliance, gateway enforcement, and cost controls into one platform.
  • 4
    Portkey Reviews

    Portkey

    Portkey.ai

    $49 per month
    LMOps is a stack that allows you to launch production-ready applications for monitoring, model management and more. Portkey is a replacement for OpenAI or any other provider APIs. Portkey allows you to manage engines, parameters and versions. Switch, upgrade, and test models with confidence. View aggregate metrics for your app and users to optimize usage and API costs Protect your user data from malicious attacks and accidental exposure. Receive proactive alerts if things go wrong. Test your models in real-world conditions and deploy the best performers. We have been building apps on top of LLM's APIs for over 2 1/2 years. While building a PoC only took a weekend, bringing it to production and managing it was a hassle! We built Portkey to help you successfully deploy large language models APIs into your applications. We're happy to help you, regardless of whether or not you try Portkey!
  • Previous
  • You're on page 1
  • Next