---
description: "This guide examines the five leading LLM gateway solutions: Bifrost, Cloudflare, LiteLLM, Vercel, and Kong AI Gateway."
title: List of Top 5 LLM Gateways in 2026
image: https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/size/w1200/2026/07/list-of-top-5-llm-gateways-in-2026-bifrost-paper-waves.optimized.png
---

Try Bifrost Enterprise free for 14 days. [Request access](https://www.getmaxim.ai/#enterprise-trial)

## TL;DR

LLM gateways have become essential infrastructure for production AI applications in 2026. This guide examines the five leading LLM gateway solutions: [****Bifrost****](https://www.getmaxim.ai/bifrost), ****Cloudflare****, ****LiteLLM****, ****Vercel****, and ****Kong AI Gateway****.

---

## Table of Contents

1. [Introduction: The LLM Gateway Infrastructure Challenge](#introduction-the-llm-gateway-infrastructure-challenge)
2. [What is an LLM Gateway?](#what-is-an-llm-gateway)
3. [Why LLM Gateways are Essential in 2026](#why-llm-gateways-are-essential-in-2025)
4. [Top 5 LLM Gateways](#top-5-llm-gateways)
   - [Bifrost](#1-bifrost)
   - [Cloudflare](#2-cloudflare)
   - [LiteLLM](#3-litellm)
   - [Vercel](#4-vercel)
   - [Kong AI Gateway](#5-kong-ai-gateway)
5. [Gateway Comparison Table](#gateway-comparison-table)
6. [Choosing the Right LLM Gateway](#choosing-the-right-llm-gateway)
7. [Further Reading](#further-reading)
8. [External Resources](#external-resources)

---

## Introduction: The LLM Gateway Infrastructure Challenge

Large language models now power mission-critical workflows across customer support, code assistants, knowledge management, and autonomous agents. As AI adoption accelerates, engineering teams confront significant operational complexity: every provider offers unique APIs, implements different authentication schemes, enforces distinct rate limits, and maintains evolving model catalogs.

According to Gartner's Hype Cycle for Generative AI 2025, AI gateways have emerged as critical infrastructure components, no longer optional but essential for scaling AI responsibly. Organizations face several fundamental challenges:

- **Vendor Lock-in Risk**: Hard-coding applications to single APIs makes migration costly and slow
- **Governance Gaps**: Without centralized control, cost management, budget enforcement, and rate limiting remain inconsistent
- **Operational Blind Spots**: Teams lack unified observability across models and providers
- **Resilience Challenges**: Provider outages or rate limits can halt production applications

LLM gateways address these challenges by centralizing access control, standardizing interfaces, and providing the reliability infrastructure necessary for production AI deployments.

---

## What is an LLM Gateway?

An [LLM gateway](https://www.getmaxim.ai/llm-gateway) functions as an intelligent routing and control layer between applications and model providers. It serves as the unified entry point for all LLM traffic, handling API format differences, managing failovers during provider outages, optimizing costs through intelligent routing, and providing comprehensive monitoring capabilities.

### Core Functions

LLM gateways deliver several essential capabilities:

- **Unified API Interface**: Normalize request and response formats across providers through standardized APIs
- **Intelligent Routing**: Distribute traffic across models and providers based on cost, performance, or availability
- **Reliability Features**: Implement automatic failover, load balancing, and retry logic for production resilience
- **Governance Controls**: Enforce authentication, role-based access control (RBAC), budgets, and audit trails
- **Observability**: Provide tracing, logs, metrics, and cost analytics for comprehensive visibility

By 2026, expectations from gateways have expanded beyond basic routing to include agent orchestration, Model Context Protocol (MCP) compatibility, and advanced cost governance capabilities that transform gateways from routing layers into long-term platforms.

---

## Why LLM Gateways are Essential in 2026

### Multi-Provider Reliability

Model quality, pricing, and latency vary significantly by provider and change over time. Relying on a single vendor increases risk and limits iteration speed. Production AI demands 99.99% uptime, but individual providers rarely exceed 99.7%. LLM gateways maintain service availability during regional outages or rate-limit spikes through automatic failover and intelligent load balancing.

### Cost Optimization

LLM costs typically scale based on token usage, making cost control critical for production deployments. Gateways enable cost optimization through:

- **Semantic Caching**: Eliminate redundant API calls by caching responses based on semantic similarity
- **Intelligent Routing**: Route requests to most cost-effective providers while maintaining quality requirements
- **Budget Enforcement**: Set spending caps per team, application, or use case with automated limits
- **Usage Analytics**: Track token consumption and costs across providers for informed optimization decisions

### Security and Governance

As AI usage expands across organizations, centralized governance becomes essential. Gateways provide:

- **Access Control**: Define which teams can access which models under specified conditions
- **Guardrails**: Enforce content policies, block inappropriate outputs, and prevent PII leakage
- **Compliance**: Maintain audit trails, implement data handling policies, and ensure regulatory compliance
- **Secret Management**: Centralize API key storage and rotation without application code changes

### Developer Productivity

Organizations standardizing on gateways reduce integration overhead by abstracting provider differences. Developers integrate once with the gateway's unified API rather than managing separate SDKs for each provider, enabling faster model switching and reducing maintenance burden.

---

## Top 5 LLM Gateways

### 1. Bifrost

### Platform Overview

[Bifrost](https://www.getmaxim.ai/bifrost) is a high-performance, open-source LLM gateway built by Maxim AI, engineered specifically for production-grade AI systems requiring maximum speed and reliability. Written in Go, Bifrost delivers exceptional performance with [<11 µs overhead at 5,000 RPS](https://github.com/maximhq/bifrost), making it [50x faster than LiteLLM](https://www.getmaxim.ai/blog/bifrost-a-drop-in-llm-proxy-40x-faster-than-litellm/) according to sustained benchmarking.

The gateway provides unified access to 15+ providers including OpenAI, Anthropic, AWS Bedrock, Google Vertex, Azure, Cerebras, Cohere, Mistral, Ollama, and Groq through a single OpenAI-compatible API. Bifrost emphasizes zero-configuration deployment, enabling teams to go from installation to production-ready gateway in under a minute.

### Key Features

**Unmatched Performance**

Bifrost's Go-based architecture delivers industry-leading speed:

- **Ultra-Low Latency**: [\~11 µs overhead per request at 5,000 RPS](https://github.com/maximhq/bifrost) on sustained benchmarks
- **High Throughput**: Handles thousands of requests per second without performance degradation
- **Memory Efficiency**: [68% lower memory consumption compared to alternatives](https://www.getmaxim.ai/blog/maxim-ai-june-2025-updates/)
- **Production-Ready**: Zero performance bottlenecks even under extreme load conditions

Checkout [Bifrost Benchmarks](https://www.getmaxim.ai/bifrost/resources/benchmarks).

**Unified Multi-Provider Access**

[Bifrost's unified interface](https://docs.getbifrost.ai/features/unified-interface) provides seamless access across providers:

- **OpenAI-Compatible API**: Single consistent interface following OpenAI request/response format
- **20+ Provider Support**: OpenAI, Anthropic, AWS Bedrock, Google Vertex, Azure, Cohere, Mistral, Ollama, Groq, Cerebras
- **Custom Model Support**: Easy integration of custom-deployed models and fine-tuned endpoints
- **Dynamic Provider Resolution**: Automatic routing based on model specification (e.g., `openai/gpt-4o-mini`)

**Automatic Failover and Load Balancing**

[Bifrost's reliability features](https://docs.getbifrost.ai/features/fallbacks) ensure 99.99% uptime:

- **Weighted Key Selection**: Distribute traffic across multiple API keys with configurable weights
- [**Adaptive Load Balancing**](https://docs.getbifrost.ai/enterprise/adaptive-load-balancing): Intelligent request distribution based on provider health and performance
- [**Automatic Provider Failback**](https://docs.getbifrost.ai/features/retries-and-fallbacks): Seamless fallover to backup providers during throttling or outages
- **Zero-Downtime Switching**: Model and provider changes without service interruption

**Enterprise Governance**

[Comprehensive governance capabilities](https://docs.getbifrost.ai/features/governance) for production deployments:

- [**Virtual Keys**](https://docs.getbifrost.ai/features/governance/virtual-keys): Create separate keys for different use cases with independent budgets and access control
- [**Hierarchical Budgets**](https://docs.getbifrost.ai/features/governance/budget-and-limits): Set spending limits at team, customer, or application levels
- **Usage Tracking**: Detailed cost attribution and consumption analytics across all dimensions
- [**Rate Limiting**](https://docs.getbifrost.ai/features/governance/budget-and-limits): Fine-grained request throttling per team, key, or endpoint

**Model Context Protocol (MCP) Support**

[Bifrost's MCP integration](https://docs.getbifrost.ai/features/mcp) enables AI models to use external tools:

- **Tool Integration**: Connect AI agents to filesystems, web search, databases, and custom APIs
- **Centralized Governance**: Unified policy enforcement for all MCP tool connections
- [**Security Controls**](https://docs.getbifrost.ai/mcp/oauth): Granular permissions and authentication for tool access
- **Observable Tool Usage**: Complete visibility into agent tool interactions

**Advanced Optimization Features**

Additional capabilities for production AI systems:

- [**Semantic Caching**](https://docs.getbifrost.ai/features/semantic-caching): Intelligent response caching based on semantic similarity reduces costs and latency
- [**Multimodal Support**](https://docs.getbifrost.ai/quickstart/gateway/streaming): Unified handling of text, images, audio, and streaming
- [**Custom Plugins**](https://docs.getbifrost.ai/enterprise/custom-plugins): Extensible middleware architecture for analytics, monitoring, and custom logic
- [**Observability**](https://docs.getbifrost.ai/features/observability): Native Prometheus metrics, distributed tracing, and comprehensive logging

**Developer Experience**

Bifrost prioritizes ease of integration and deployment:

- [**Zero-Config Startup**](https://docs.getbifrost.ai/quickstart/gateway/setting-up): Start immediately with NPX or Docker, no configuration files required
- [**Drop-in Replacement**](https://docs.getbifrost.ai/features/drop-in-replacement): Replace existing OpenAI/Anthropic SDKs with one line of code change
- [**SDK Integrations**](https://docs.getbifrost.ai/integrations/what-is-an-integration): Native support for OpenAI, Anthropic, Google GenAI, LangChain, and more
- **Web UI**: Visual configuration interface for provider setup, monitoring, and governance
- **Configuration Flexibility**: Support for UI-driven, API-based, or file-based configuration

**Enterprise Security**

Production-grade security features:

- [**SSO Integration**](https://docs.getbifrost.ai/features/sso-with-google-github): Google and GitHub authentication support
- [**Vault Support**](https://docs.getbifrost.ai/enterprise/vault-support): HashiCorp Vault integration for secure API key management
- **Self-Hosted Deployment**: Complete control over data and infrastructure with VPC deployment options
- [**Audit Trails**](https://docs.getbifrost.ai/enterprise/audit-logs): Comprehensive logging of all gateway operations for compliance

**Integration with Maxim Platform**

Bifrost uniquely integrates with [Maxim AI's full-stack platform](https://www.getmaxim.ai/):

- [**Agent Simulation**](https://www.getmaxim.ai/products/agent-simulation-evaluation): Test AI agents across hundreds of scenarios before production deployment
- [**Unified Evaluations**](https://www.getmaxim.ai/products/agent-simulation-evaluation): Combine automated and human evaluation frameworks
- [**Production Observability**](https://www.getmaxim.ai/products/agent-observability): Real-time monitoring with automated quality checks
- [**Data Curation**](https://www.getmaxim.ai/products/experimentation): Continuously evolve datasets from production logs

This end-to-end integration enables teams to ship AI agents reliably and 5x faster by unifying pre-release testing with production monitoring.

### Best For

[Bifrost](https://www.getmaxim.ai/bifrost) is built for enterprises running mission-critical AI workloads that require best-in-class performance, scalability, and reliability. It serves as a centralized AI gateway to route, govern, and secure all AI traffic across models and environments with ultra low latency. Bifrost unifies LLM gateway, [MCP gateway](https://www.getmaxim.ai/mcp-gateway), and Agents gateway capabilities into a single platform. Designed for regulated industries and strict enterprise requirements, it supports air-gapped deployments, VPC isolation, and on-prem infrastructure. It provides full control over data, access, and execution, along with robust security, policy enforcement, and governance capabilities.

[Get started with Bifrost](https://docs.getbifrost.ai/quickstart/gateway/setting-up) in under a minute with NPX or Docker, or explore [Maxim AI's complete platform](https://getmaxim.ai/demo) for end-to-end AI quality management.

---

### 2. Cloudflare

### Platform Overview

**Cloudflare** AI Gateway provides a unified interface to connect with major AI providers including Anthropic, Google, Groq, OpenAI, and xAI, offering access to over 350 models across 6 different providers

### Features:

- **Multi-provider support**: Works with Workers AI, OpenAI, Azure OpenAI, HuggingFace, Replicate, Anthropic, and more
- **Performance optimization**: Advanced caching mechanisms to reduce redundant model calls and lower operational costs
- **Rate limiting and controls**: Manage application scaling by limiting the number of requests
- **Request retries and model fallback**: Automatic failover to maintain reliability
- **Real-time analytics**: View metrics including number of requests, tokens, and costs to run your application with insights on requests and errors
- **Comprehensive logging**: Stores up to 100 million logs in total (10 million logs per gateway, across 10 gateways) with logs available within 15 seconds
- **Dynamic routing**: Intelligent routing between different models and providers

---

### 3. LiteLLM

### Platform Overview

LiteLLM is an open-source gateway providing unified access to 100+ LLMs through OpenAI-compatible APIs. Available as both Python SDK and proxy server, LiteLLM emphasizes flexibility and extensive provider compatibility for development and production environments.

### Features

- **Multi-Provider Support**: OpenAI, Anthropic, AWS Bedrock, Google Vertex, Azure, Cohere, and 100+ additional providers
- **Unified Output Format**: Standardizes responses to OpenAI-style format across all providers
- **Retry and Fallback Logic**: Ensures reliability across multiple model deployments
- **Cost Tracking**: Budget management and spending monitoring per project or team
- **Observability Integration**: Integrates with Langfuse, MLflow, and other monitoring platforms
- **Built-in Guardrails**: Blocking keywords, pattern detection, and custom regex patterns
- **MCP Gateway Support**: Control tool access by team and key with granular permissions

---

### 4. Vercel

### Platform Overview

**Vercel** AI Gateway, now generally available, provides a single endpoint to access hundreds of AI models across providers with production-grade reliability. The platform emphasizes developer experience, with deep integration into Vercel's hosting ecosystem and framework support.

### Key Features:

- **Multi-provider support**: Access to hundreds of models from OpenAI, xAI, Anthropic, Google, and more through a unified API
- **Low-latency routing**: Consistent request routing with latency under 20 milliseconds designed to keep inference times stable regardless of provider
- **Automatic failover**: If a model provider experiences downtime, the gateway automatically redirects requests to an available alternative
- **OpenAI API compatibility**: Compatible with OpenAI API format, allowing easy migration of existing applications
- **Observability**: Per-model usage, latency, and error metrics with detailed analytics

---

### 5. Kong AI Gateway

### Platform Overview

Kong AI Gateway extends Kong's mature API management platform to AI traffic, providing enterprise-grade governance, security, and observability for LLM applications. The platform integrates AI capabilities into existing Kong infrastructure for unified API and AI management.

### Key Features

- **Universal LLM API**: Route across OpenAI, Anthropic, AWS Bedrock, Google Vertex, Azure AI, and more through unified interface
- **RAG Pipeline Automation**: Automatically build RAG pipelines at gateway layer to reduce hallucinations
- **PII Sanitization**: Protect sensitive information across 12 languages and major AI providers
- **Semantic Caching**: Cache responses based on semantic similarity for cost and latency reduction
- **Prompt Engineering**: Customize and optimize prompts with guardrails and content safety
- **MCP Support**: Governance, security, and observability for Model Context Protocol traffic
- **Multimodal Support**: Batch execution, audio transcription, image generation across major providers
- **Prompt Compression**: Reduce token costs by up to 5x while maintaining semantic meaning

---

## Gateway Comparison Table

| Feature | Bifrost | Cloudflare | LiteLLM | Vercel | Kong AI |
| --- | --- | --- | --- | --- | --- |
| **Performance** | <11 µs overhead @ 5k RPS | Varies | Higher latency @ scale | <20ms | Standard |
| **Speed Comparison** | 50x faster than LiteLLM | Standard | Baseline | Standard | Standard |
| **Primary Language** | Go | N/A | Python | N/A | Lua/Go |
| **Deployment Options** | Self-hosted, VPC, Docker, NPX | SaaS | Self-hosted, proxy server | SaaS | Cloud, on-premises, hybrid |
| **Semantic Caching** | ✅ | ✅ | ❌ | ❌ | ✅ |
| **Automatic Failover** | ✅ Adaptive | ✅ | ✅ | ✅ Circuit breaking | ✅ |
| **Adaptive Load Balancing** | ✅ Weighted + adaptive | ❌ | ✅ | ❌ | ✅ |
| **MCP Support** | ✅ Full governance | ❌ | ✅ Team-level control | ❌ | ✅ Enterprise |
| **Guardrails** | ✅ Custom plugins | ❌ | ✅ Built-in + integrations | ❌ | ✅ Comprehensive |
| **Built-in Observability** | Prometheus, distributed tracing | Basic | Integration-based | Basic | Enterprise dashboards |
| **Budget Management** | ✅ Hierarchical | ❌ | ✅ Per project/team | ❌ | ✅ Enterprise |
| **SSO Integration** | ✅ Google, GitHub | ❌ | ❌ (Enterprise only) | ❌ | ✅ |
| **Vault Support** | ✅ HashiCorp | ❌ | ❌ | ❌ | ❌ |
| **Multimodal** | ✅ | ✅ | ✅ | ✅ | ✅ Advanced |
| **Free Tier** | ✅ Open source | ✅ Platform plans | ✅ Open source | ✅ Zero markup | ✅ Limited |
| **Platform Integration** | Maxim AI (simulation, evals, observability) | Standalone | Standalone | Standalone | Kong Konnect |

---

## Further Reading

### Bifrost Resources

- [Bifrost Documentation](https://docs.getbifrost.ai/)
- [Bifrost GitHub Repository](https://github.com/maximhq/bifrost)
- [Bifrost: 50x Faster Than LiteLLM](https://www.getmaxim.ai/blog/bifrost-a-drop-in-llm-proxy-40x-faster-than-litellm/)
- [Why You Need an LLM Gateway in 2025](https://dev.to/kuldeep_paul/why-you-need-an-llm-gateway-in-2025-1l4j)
- [Best LLM Gateways: Features and Benchmarks](https://www.getmaxim.ai/articles/best-llm-gateways-in-2025-features-benchmarks-and-builders-guide/)

### Maxim AI Platform

- [Agent Simulation and Evaluation](https://www.getmaxim.ai/products/agent-simulation-evaluation)
- [Agent Observability](https://www.getmaxim.ai/products/agent-observability)
- [Experimentation Platform](https://www.getmaxim.ai/products/experimentation)
- [Top 5 AI Agent Observability Tools](https://www.getmaxim.ai/articles/top-5-tools-for-ai-agent-observability-in-2025/)

---

## External Resources

###

### Industry Analysis

- [Gartner Hype Cycle for Generative AI 2025](https://portkey.ai/blog/how-to-choose-an-ai-gateway-in-2025/)

---

## Get Started with Bifrost

Building production-grade AI applications requires infrastructure that delivers exceptional performance, reliability, and enterprise features. [Bifrost](https://www.getmaxim.ai/bifrost) provides the fastest open-source LLM gateway with <11 µs overhead, complete with automatic failover, intelligent load balancing, and comprehensive governance.

**Ready to deploy a production-ready** [**LLM gateway**](https://www.getmaxim.ai/articles/top-5-llm-gateways-in-2026-a-production-ready-comparison/)**?**

- [Get started with Bifrost](https://docs.getbifrost.ai/quickstart/gateway/setting-up) in under a minute using NPX or Docker
- [Explore Bifrost on GitHub](https://github.com/maximhq/bifrost) and join the open-source community
- [Request a Maxim AI demo](https://getmaxim.ai/demo) to see the complete platform for AI simulation, evaluation, and observability
- [Sign up for Maxim AI](https://app.getmaxim.ai/sign-up) to start building reliable AI agents 5x faster

For organizations seeking comprehensive AI quality management beyond gateway capabilities, Maxim AI delivers [end-to-end simulation](https://www.getmaxim.ai/products/agent-simulation-evaluation), [unified evaluations](https://www.getmaxim.ai/products/agent-simulation-evaluation), and [production observability](https://www.getmaxim.ai/products/agent-observability) in a single platform.

---

## Read next

[![Top 5 AI Gateways for Controlling Shadow AI in 2026](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/size/w720/2026/10/top-5-ai-gateways-for-controlling-shadow-ai-bifrost-isometric.png) Shadow AI is the use of AI tools, models, and MCP servers that security teams have not approved and cannot see. This guide ranks five AI gateways for controlling it, including Bifrost with Bifrost Edge, Kong AI Gateway, Cloudflare AI Gateway, and Gravitee.](https://www.getmaxim.ai/articles/top-5-ai-gateways-for-controlling-shadow-ai/)

[![Top 5 AI Gateways for SSO and RBAC in 2026](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/size/w720/2026/10/top-5-ai-gateways-for-sso-and-rbac-in-2026-bifrost-isometric.png) AI gateways with SSO and RBAC let enterprises tie every model request and every configuration change to a corporate identity. This guide compares Bifrost, Kong AI Gateway, Azure API Management, Gravitee, and Cloudflare AI Gateway on identity, roles, provisioning, and audit.](https://www.getmaxim.ai/articles/top-5-ai-gateways-for-sso-and-rbac-in-2026/)

[![Semantic Caching: The Top 5 AI Gateways in 2026](https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/size/w720/2026/10/semantic-caching-the-top-5-ai-gateways-in-2026-bifrost-isometric.png) Semantic caching serves a stored LLM response when a new prompt means the same thing as an earlier one. This guide compares Bifrost, Kong AI Gateway, Azure API Management, and Cloudflare AI Gateway on match modes, vector stores, thresholds, TTLs, and cache scoping.](https://www.getmaxim.ai/articles/semantic-caching-the-top-5-ai-gateways-in-2026/)

```json
{
    "@context": "https://schema.org",
    "@type": "Article",
    "publisher": {
        "@type": "Organization",
        "name": "Maxim Articles",
        "url": "https://www.getmaxim.ai/articles/",
        "logo": {
            "@type": "ImageObject",
            "url": "https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/size/w256h256/2025/08/thumbnail.png",
            "width": 60,
            "height": 60
        }
    },
    "author": {
        "@type": "Person",
        "name": "Kamya Shah",
        "image": {
            "@type": "ImageObject",
            "url": "https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/2025/09/WhatsApp-Image-2025-08-29-at-17.40.40-1.jpeg",
            "width": 1200,
            "height": 1600
        },
        "url": "https://www.getmaxim.ai/articles/author/kamya/",
        "sameAs": []
    },
    "headline": "List of Top 5 LLM Gateways in 2026",
    "url": "https://www.getmaxim.ai/articles/list-of-top-5-llm-gateways-in-2026/",
    "datePublished": "2025-12-05T07:24:00.000Z",
    "dateModified": "2026-10-08T16:08:47.000Z",
    "image": {
        "@type": "ImageObject",
        "url": "https://storage.ghost.io/c/84/03/8403f2f6-141c-411a-8f55-a32d4291533e/content/images/size/w1200/2026/07/list-of-top-5-llm-gateways-in-2026-bifrost-paper-waves.optimized.png",
        "width": 1200,
        "height": 630
    },
    "keywords": "AI Gateway",
    "description": "TL;DR\n\nLLM gateways have become essential infrastructure for production AI applications in 2026. This guide examines the five leading LLM gateway solutions: Bifrost, Cloudflare, LiteLLM, Vercel, and Kong AI Gateway.\n\n\nTable of Contents\n\n 1. Introduction: The LLM Gateway Infrastructure Challenge\n 2. What is an LLM Gateway?\n 3. Why LLM Gateways are Essential in 2026\n 4. Top 5 LLM Gateways\n    * Bifrost\n    * Cloudflare\n    * LiteLLM\n    * Vercel\n    * Kong AI Gateway\n 5. Gateway Comparison Table\n ",
    "mainEntityOfPage": "https://www.getmaxim.ai/articles/list-of-top-5-llm-gateways-in-2026/"
}
```