The 5 Best AI Gateways (February 2026)

The best AI gateways in 2026 are Lava (best for teams that need billing + routing), Portkey (best for prompt management and observability), LiteLLM (best open-source option), Helicone (best for cost analytics), and OpenRouter (best for individual developers). Each solves a different problem, and picking the wrong one means bolting on more infrastructure later.

Key Takeaways

• An AI gateway is a proxy between your app and AI providers that handles routing, auth, metering, and failover through a single endpoint
• Lava is the only gateway with built-in billing (wallets, checkout, spend keys). Best if you need to charge users for AI
• Portkey excels at prompt management, guardrails, and enterprise observability
• LiteLLM is the go-to open-source option with 200+ model support and a Python-native interface
• OpenRouter is simplest for individual developers who want access to many models without managing API keys
• The right choice depends on whether you need billing, observability, self-hosting, or just model access

If you are building an AI product that talks to more than one model provider, you need an AI gateway. Without one, you are managing separate SDKs, separate billing relationships, separate error handling, and separate auth flows for every provider you integrate. It does not scale, and it becomes a maintenance headache fast.

What Is an AI Gateway?

An AI gateway is a single API layer that sits between your application and multiple AI providers, handling routing, authentication, metering, and failover so you do not have to build those systems yourself.

That definition matters because not every tool on this list does the same thing. Some are pure routing layers. Some focus on observability. One combines routing with billing. Understanding what you actually need will save you months of integration work.

The 5 Best AI Gateways Compared

Before diving into each tool, here is a side-by-side comparison of the key differences.

Now let's look at each one in detail.

Lava

Lava is the only gateway on this list that combines AI routing with built-in billing and monetization. Instead of stitching together a gateway for routing, a separate tool for metering, and another system for billing your users, Lava handles all three through a single integration.

Your application sends requests through the Lava Gateway, which proxies them to 600+ models across OpenAI, Anthropic, Google, Mistral, xAI, DeepSeek, Groq, Together AI, and dozens more. Every request is automatically metered at the token level, with cost tracking by model, by provider, by feature, and by end user. No additional instrumentation required.

The real differentiator is what happens after the request. With Lava Monetize, you can charge your users for their AI consumption using a prepaid wallet system. Users fund their wallets, you set the pricing, and Lava handles metering, deductions, and the checkout experience. You go from "proxying API calls" to "running a monetized AI product" without building billing infrastructure.

This matters because payments is historically difficult, detail-oriented work. Building it yourself is not just a one-time cost. It is an ongoing maintenance burden: handling edge cases, reconciling ledgers, managing payment failures, staying compliant. That work is best left to a payments company, which is what Lava is.

Pricing: The gateway itself is free. No per-request fees, no markup on provider costs. You pay Lava a service fee only when you use Lava Monetize to bill your end users.

Strengths:

• Free gateway with no per-request charges
• Only gateway with native billing and end-user monetization
• Spend keys: API keys tied to wallets with per-key spending limits, model restrictions, and real-time enforcement at the gateway layer
• Token-level cost tracking on every request, automatically
• Drop-in replacement for existing provider SDKs, no architecture changes
• Swap providers without code changes

Limitations:

• Fewer total models than Portkey (600+ vs. 2,000+)
• No self-hosted option
• Newer platform compared to some alternatives

Best for: Teams building AI products that need to charge end users for AI usage. If you are going to need billing anyway, starting with a gateway that already has it saves you months of engineering time. Read more about why billing infrastructure is harder than it looks.

Portkey

Portkey is an enterprise-grade AI gateway focused on observability, governance, and reliability at scale. It recently raised a $15M Series A and has built one of the most comprehensive control planes in the space.

Portkey supports 2,000+ models across 40+ providers and provides detailed logging, latency metrics, and cost analytics broken down by app, team, or model. It includes guardrails like jailbreak detection and PII redaction, plus enterprise features like SSO/SCIM, audit trails, and data residency controls.

The gateway itself is open source, but the full platform (observability, guardrails, workspace management) is a hosted product.

Pricing: Free tier with 10,000 logged requests per month and 30-day retention. Pro tier charges $9 per additional 100K logs. Enterprise pricing is custom.

Strengths:

• Massive model coverage (2,000+ models across 40+ providers)
• Enterprise security features (SSO, SCIM, audit trails, data residency)
• Built-in guardrails and policy enforcement
• Open-source gateway component

Limitations:

• No billing or monetization features. You still need a separate system to charge your users.
• Observability platform pricing can add up at scale
• Complexity may be overkill for smaller teams

Best for: Enterprise teams that need governance, compliance, and observability across a large number of AI models. If your primary concern is controlling and monitoring AI usage across a large organization, Portkey is purpose-built for that.

LiteLLM

LiteLLM is the open-source standard for AI gateway proxying. It is a Python-based reverse proxy that translates the schemas of different providers (Bedrock, Azure, Anthropic, and 100+ others) into a unified OpenAI-compatible format.

The project is MIT-licensed and free to use. You deploy it on your own infrastructure, which gives you complete control over data residency, customization, and cost. It includes virtual key management, budget tracking per key/user, load balancing, fallback routing, and rate limiting.

The tradeoff is operational burden. You own the deployment, scaling, monitoring, and maintenance. Production infrastructure typically costs $200-500/month depending on traffic volume and redundancy requirements.

Pricing: Free (MIT license). You pay only for your own infrastructure.

Strengths:

• Fully open source, no licensing fees
• Complete infrastructure control
• Large community and active development
• Works in air-gapped and private cloud environments

Limitations:

• No managed hosting option. You own the entire operational burden.
• No billing, monetization, or checkout features
• Requires DevOps expertise to run reliably in production
• Observability requires separate tooling (Langfuse, LangSmith, etc.)

Best for: Teams with strong DevOps capabilities who need complete infrastructure control, data sovereignty, or customized deployment. Not ideal if you want to move fast without managing infrastructure.

Helicone

Helicone is an open-source LLM observability platform with a built-in gateway. It is written in Rust, which gives it excellent performance (8ms P50 latency on the gateway layer), and it focuses on making AI costs and behavior visible.

The gateway handles routing, caching, load balancing, and rate limiting across 500+ models. Every request is automatically logged with cost, latency, and token metrics. The standout feature is the caching layer, which uses Redis-based intelligent caching with configurable TTL. Helicone claims up to 95% cost reduction on cached responses, and the cache works cross-provider (cache an OpenAI response, serve it for an Anthropic request with the same input).

Pricing: Free tier includes 10,000 requests per month. Pro plan starts at $20/seat/month with 3-month data retention. Enterprise includes unlimited retention, SOC 2, HIPAA, and self-hosting options.

Strengths:

• Excellent observability out of the box
• High-performance Rust gateway
• Intelligent caching that can significantly reduce costs
• Open source (Apache 2.0) with self-hosting option

Limitations:

• No billing or monetization features
• Primarily an observability tool that happens to have a gateway, not the other way around
• Gateway routing is less feature-rich than dedicated gateway platforms

Best for: Developer teams that want deep visibility into their AI costs and performance. If your main pain point is "I do not know what my AI is costing me or why," Helicone gives you that answer fast. Pairs well with a separate billing solution like Lava Monetize.

OpenRouter

OpenRouter is a model marketplace and unified API that gives you access to 500+ models from every major provider through a single API key. It handles authentication, billing, and routing, making it the easiest way to experiment with different models.

The pricing model is straightforward: OpenRouter passes through provider pricing with no markup on model costs. They charge a 5.5% fee on credit purchases, and a 5% fee on BYOK (Bring Your Own Key) usage after the first 1 million free requests per month. They support shortcuts like :nitro for fastest routing and :floor for lowest price.

Pricing: Pay-as-you-go with no monthly fees. 5.5% fee on credit purchases. BYOK is free for the first 1M requests/month, then 5% of equivalent model cost.

Strengths:

• Broad model selection (500+ models)
• No markup on model pricing
• Easiest setup. Single API key, immediate access
• BYOK support for using your own provider contracts

Limitations:

• No observability or analytics dashboard
• No end-user billing or monetization features
• Limited routing control compared to dedicated gateways
• 5.5% fee on credits, 5% BYOK fee after free tier

Best for: Individual developers and small teams who want fast access to a wide range of models without managing multiple provider accounts. Great for prototyping and experimentation, less suited for production billing and monetization.

How to Choose

The right gateway depends on what problem you are actually solving.

If you need to charge your users for AI usage, start with Lava. Building billing infrastructure from scratch takes months, and maintaining it takes years. Payments is specialized, detail-oriented work best left to a payments company. Lava gives you routing, metering, and billing in a single integration.

If your main concern is enterprise governance and compliance, look at Portkey. The guardrails, audit trails, and workspace management are built for organizations that need to control AI usage across large teams.

If you need complete infrastructure control, deploy LiteLLM. It is the right choice for air-gapped environments, strict data residency, or teams that already manage their own infrastructure.

If you want cost visibility and performance monitoring, start with Helicone. The observability features are best-in-class, and the Rust gateway adds minimal latency.

If you want the widest model selection with minimal setup, use OpenRouter. It is the fastest way to start experimenting with models from dozens of providers.

Most teams end up needing more than one of these capabilities. The question is which one you start with, because that choice determines how much additional infrastructure you need to build or integrate later.

How Lava Helps

Most gateways solve the routing problem. Some solve the observability problem. Very few solve the billing problem. And none of them solve all three the way Lava does.

Lava Gateway is free and gives you access to 600+ models with automatic metering on every request. Token counts, costs, and latency are tracked in real time, broken down by provider, model, feature, and end user. You get multi-provider routing without code changes and automatic failover when a provider is down. There is no per-request fee and no markup on provider costs.

The reason Lava can offer the gateway for free is that it connects directly to Lava Monetize, which turns that metered usage into revenue. Your users fund prepaid wallets, you define the pricing, and Lava handles the deductions, checkout, and dashboards. That direct connection between gateway and billing is something no other tool on this list offers.

Building billing yourself is not just a one-time engineering project. Payments is detail-oriented, ongoing work: reconciling ledgers, handling payment failures, managing refunds, staying PCI compliant, and adapting to new edge cases every month. It is the kind of work that is best left to a company that specializes in it. That is what Lava does. You should not be maintaining usage-based billing infrastructure when your core product is an AI application.

If you are evaluating AI gateways, the question is not just "how do I route requests to multiple providers." It is "how do I route requests, track costs, and get paid for them." Lava is the only platform that answers all three.