Best 7 AI Gateways Software in 2026

Every AI application today talks to more than one model provider, and each provider comes with its own SDK, its own outage schedule, and its own pricing quirks. An AI gateway sits between your app and every model you call, turning that mess into one endpoint, one API key, and one place to see what you're actually spending.

Portkey is the best overall pick for its mix of enterprise compliance, a genuinely free developer tier, and a dedicated MCP Gateway spanning 138+ servers; for a team that just wants multi-model access without standing up any infrastructure, OpenRouter gets you routing hundreds of models behind one API key in minutes.

We compared all seven on pricing transparency, MCP maturity, deployment flexibility, and how much routing and observability logic you get before you have to talk to sales — and all seven now ship an official MCP server or MCP Gateway, not a community add-on.

Last updated: August 17, 2026

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Why You Need an AI Gateway

Stop juggling provider SDKs. One API and one key route requests to dozens of providers instead of maintaining separate integration code for each.

See what you're actually spending, per model. Token-level cost analytics catch a runaway prompt or an expensive model choice before the monthly bill does.

Keep your app running when a provider goes down. Automatic retry and fallback reroute a failed request to a backup model instead of surfacing an error to your user.

Cut repeat-request costs with caching. Semantic and exact-match caching serve near-identical prompts from cache instead of paying for the same completion twice.

Give agents safe, governed tool access. An MCP Gateway centralizes which MCP servers your agents can reach, instead of leaving every team to wire up its own.

How We Evaluated These Gateways

We scored each gateway on five criteria: pricing transparency and value, breadth of provider and model coverage, official MCP/API maturity, deployment flexibility (cloud, self-hosted, or both), and how much genuinely useful capability ships free versus behind a sales call. Every pricing figure and MCP claim here comes from each vendor's own site or docs as of August 2026; where a vendor didn't publish an exact number, that's noted honestly rather than guessed.

Best 7 AI Gateways Software in 2026

1. Portkey

Portkey pairs a genuinely free developer tier with enterprise compliance most gateways gate entirely behind sales — SOC2, ISO27001, GDPR, and HIPAA all ship as Enterprise-tier features rather than custom add-ons, and its MCP Gateway already lists 138+ connected servers.

Pricing: Developer (free forever) includes 10,000 logged requests/month with 3-day log retention. Production runs $49/month for 100,000 logs/month, with $9 per additional 100k requests. Enterprise is custom-priced for 10M+ logs/month with custom retention. An open-source, self-hosted version is also free with no request limits.

Top features:

Universal API routing 1,600+ LLMs

MCP Gateway covering 138+ servers

Semantic caching to cut repeat costs

LLM and partner guardrails

Prompt management with versioning

Role-based access control on Production+

Pros:

Free tier is genuinely usable, not a crippled trial

MCP Gateway covers 138+ servers out of the box

Enterprise compliance certifications built in, not bolted on

Cons:

Overage billing on Production can surprise high-volume teams

Guardrails and semantic caching require a paid tier

AI/MCP Integration: Confirmed official — a dedicated MCP Gateway (portkey.ai/features/mcp) provides secure, managed access to 138+ MCP servers, plus documented remote MCP support.

API Integration: Yes — an official gateway API/SDK (Portkey-AI/gateway) routes 1,600+ LLMs through one endpoint.

Cloud Based: Yes, with an open-source self-hosted option also available.

Platforms: Web dashboard, REST API, and SDKs; self-hostable.

Best for: enterprise teams that need compliance-ready observability plus a managed MCP Gateway to hundreds of servers.

Editor score: 4.6/5 — the most complete enterprise feature set here, with an actually-free developer tier.

2. LiteLLM

LiteLLM is the open-source standard for LLM gateways — free forever, self-hosted, and fronting more than 100 providers behind a single OpenAI-compatible API, with an MCP Gateway documented directly in its core docs.

Pricing: Open Source is $0 forever, self-hosted, no credit card required. Enterprise is custom annual pricing based on usage, with a 30-day free trial available; exact figures aren't published.

Top features:

100+ providers behind one OpenAI-compatible API

Virtual keys, users, and team management

Spend tracking with budgets and rate limits

Automatic LLM fallback on failure

Request/response logging with Prometheus metrics

Day-0 access to new models on Enterprise

Pros:

Fully free and open source with no artificial request caps

Broadest provider coverage in this comparison at 100+

Self-hostable with no vendor lock-in

Cons:

Enterprise pricing isn't published — custom quote only

Self-hosting means you own the operational burden

AI/MCP Integration: Confirmed official — a dedicated MCP Gateway is documented at docs.litellm.ai/docs/mcp, letting the proxy expose and route MCP tools.

API Integration: Yes — an OpenAI-compatible REST API is the core product.

Cloud Based: Both — self-hosted by default; Enterprise adds a managed, multi-region control plane.

Platforms: Self-hosted via Docker/Kubernetes, or Enterprise-managed; language-agnostic via REST.

Best for: engineering teams that want a free, self-hosted multi-provider gateway with no per-request fees.

Editor score: 4.5/5 — the open-source standard for LLM gateways, docked slightly for opaque enterprise pricing.

3. Kong AI Gateway

Kong AI Gateway is the one platform here that isn't AI-only — it's Kong's established API gateway with AI routing bolted on, which means it natively handles gRPC, GraphQL, WebSocket, and Kafka traffic alongside LLM calls, not just REST.

Pricing: A 30-day free trial gives full enterprise functionality with no credit card. Plus is priced per gateway monthly (contact sales for the exact rate), including up to 5 Serverless, 2 Hybrid, and 2 Dedicated Cloud Gateways plus 1 million API requests/month. Enterprise is custom, billed annually, with unlimited gateway configurations.

Top features:

Universal LLM API for up to 5 models on Plus

Unlimited MCP server proxies

PII sanitization and prompt guardrails

Token-based rate limiting and semantic caching

Real-time, token-level cost analytics

Multi-protocol support beyond REST

Pros:

Only gateway here with true multi-protocol support

Unlimited MCP server proxying even on the Plus tier

Enterprise plugin ecosystem for AWS/Azure guardrails

Cons:

No flat public price — per-gateway rate requires a sales call

Plus tier caps you at 5 unique LLM models

AI/MCP Integration: Confirmed official — the AI Gateway plugin ships unlimited MCP server proxying and agent-to-agent (A2A) traffic support.

API Integration: Yes — Kong is fundamentally an API gateway supporting REST, HTTP, gRPC, GraphQL, WebSocket, and Kafka.

Cloud Based: Yes — Serverless, Hybrid, and Dedicated Cloud Gateway options, plus self-hosted.

Platforms: Cloud (Konnect), hybrid, and self-hosted; multi-protocol.

Best for: platform teams already running Kong for API management who want AI routing on the same control plane.

Editor score: 4.3/5 — the most protocol-flexible option, though opaque per-gateway pricing costs it points on transparency.

4. Cloudflare AI Gateway

Cloudflare AI Gateway is bundled into every existing Cloudflare plan rather than sold as a standalone product, and it recently added MCP protocol detection and an AI Security dashboard on top of its existing caching and routing layer.

Pricing: Available on all Cloudflare plans, including Free — there's no separate AI Gateway price line, since it's a feature of whatever Cloudflare plan you already run.

Top features:

Request, token, and cost analytics

Edge caching for repeat prompts

Rate limiting to control scale

Automatic request retry and model fallback

Multi-provider routing (Workers AI, Anthropic, Gemini, OpenAI, Replicate)

MCP protocol detection and AI Security dashboard

Pros:

Bundled free into every existing Cloudflare plan

Runs on Cloudflare's global edge network for low-latency caching

New MCP traffic detection and security dashboard is unique here

Cons:

No standalone pricing page — real cost depends on your existing Cloudflare plan

Feature depth on guardrails and semantic routing trails dedicated AI-gateway vendors

AI/MCP Integration: Confirmed official — Cloudflare ships an official AI Gateway MCP server plus a dedicated MCP protocol-detection and AI Security dashboard added August 2026.

API Integration: Yes — one-line-of-code integration in front of any supported provider's API.

Cloud Based: Yes — runs entirely on Cloudflare's edge network.

Platforms: Any HTTP client via Cloudflare's edge; Workers AI-native.

Best for: teams already on Cloudflare who want AI routing, caching, and MCP traffic visibility without adding a new vendor.

Editor score: 4.1/5 — strong value bundled into existing plans, but lighter on enterprise guardrail depth than purpose-built competitors.

5. Helicone

Helicone leans hardest into observability rather than routing — its HQL query language lets teams dig through request logs the way they'd query a database, and pricing stays transparent all the way from a free 10,000-request tier up through Enterprise.

Pricing: Hobby is free, with 10,000 requests/month, 1GB storage, and 1 seat. Pro runs $79/month with unlimited seats, alerts, reports, and HQL, plus usage-based overage. Team runs $799/month with 5 organizations and SOC2/HIPAA compliance. Enterprise is custom, adding on-prem deployment and SAML SSO.

Top features:

Full request/response observability

HQL query language for log analysis

Alerts and usage reports on Pro+

Ingestion up to 30,000 logs/minute

SOC2 and HIPAA compliance on Team+

On-prem deployment at Enterprise

Pros:

True free tier with no time limit

Fully transparent pricing all the way to Enterprise

Ingestion scales to 30,000 logs/minute for high-throughput teams

Cons:

Pro jumps straight to $79/month with usage-based overage on top

SOC2/HIPAA compliance locked behind the $799/month Team tier

AI/MCP Integration: Confirmed official — Helicone ships an official MCP server (Helicone/helicone-mcp on GitHub), documented at docs.helicone.ai/integrations/tools/mcp.

API Integration: Yes — request logging and observability are delivered via API/SDK integration in front of LLM calls.

Cloud Based: Yes, with on-prem deployment available at Enterprise.

Platforms: Cloud dashboard plus API/SDK integration; on-prem at Enterprise.

Best for: teams whose primary need is LLM observability and cost analytics rather than routing and failover.

Editor score: 4.0/5 — the strongest pure-observability play here, though it does less routing and failover work than the gateway-first competitors.

6. TrueFoundry

TrueFoundry is the only vendor in this comparison that publishes exact MCP tool-call ceilings for every tier, from 50,000 tool calls/month on its free plan up to 5 million on Pro Plus — a level of MCP pricing transparency none of the others match.

Pricing: Developer is free for 3 users, 50,000 requests/month, and 5 MCP servers. Pro runs $499/month for 10 users, 1 million requests/month, and 25 MCP servers. Pro Plus runs $2,999/month for 25 users, 5 million MCP tool calls/month, and 50 MCP servers. Enterprise is custom.

Top features:

Universal API with a built-in playground

RBAC on models

Semantic and weight-based routing

Self-hosted model support

Latency- and priority-based advanced routing

MCP Gateway with published per-tier server and tool-call limits

Pros:

Only vendor here publishing exact per-tier MCP tool-call limits

Deployment spans SaaS, VPC/on-prem, and air-gapped

Free tier already includes 5 MCP servers

Cons:

Jump from free to Pro is steep at $499/month

Pro Plus at $2,999/month prices out smaller teams needing more than 1M requests/month

AI/MCP Integration: Confirmed official — a dedicated MCP Gateway publishes exact per-tier limits from 5-50 MCP servers and 50,000-5,000,000 tool calls/month.

API Integration: Yes — the Universal API is the core product, alongside a built-in playground.

Cloud Based: Yes — SaaS, VPC/on-prem, and air-gapped deployment are all offered.

Platforms: Cloud, VPC, on-prem, and air-gapped; REST API.

Best for: teams that want exact, published MCP tool-call ceilings before committing to a plan.

Editor score: 4.2/5 — the most transparent MCP-specific pricing here, offset by a steep free-to-paid jump.

7. OpenRouter

OpenRouter skips the deployment question entirely — there's no gateway to install, just a single API key that routes to hundreds of models across providers, with automatic fallback if one goes down.

Pricing: No subscription tiers. OpenRouter uses usage-based, per-token pricing that mirrors each underlying model's own provider rate, browsable per-model at openrouter.ai/models — budget by checking the specific models you plan to use rather than a flat monthly number.

Top features:

Hundreds of models behind one API endpoint

Automatic cross-provider fallback

TypeScript and Python client SDKs

Agent SDK for tool use and state management

"Latest" aliases auto-resolve to newest model versions

Drop-in OpenAI SDK compatibility

Pros:

Zero infrastructure — nothing to self-host or deploy

Hundreds of models behind one key with automatic fallback

Drop-in replacement for existing OpenAI SDK code

Cons:

No self-hosted or on-prem option at all

No flat pricing number — budgeting means checking per-model rates

AI/MCP Integration: Confirmed official — OpenRouter hosts an official remote MCP server at mcp.openrouter.ai/mcp, giving coding tools live access to models, pricing, and credit balance.

API Integration: Yes — a REST API at openrouter.ai/api/v1/chat/completions that's a drop-in, OpenAI SDK-compatible replacement.

Cloud Based: Yes — cloud-only, with no self-hosted option.

Platforms: Web and REST API; TypeScript/Python SDKs; Agent SDK.

Best for: individual developers and small teams who want instant multi-model access without deploying any infrastructure.

Editor score: 4.4/5 — the fastest path from zero to hundreds of models, docked only for having no self-hosted option.

Comparison Table

How to Choose an AI Gateway

How much of your MCP usage is metered: TrueFoundry and Portkey publish exact MCP tool-call ceilings per tier; Cloudflare and Kong bundle MCP access without a separate meter.

Whether you need to self-host: LiteLLM is the only fully free, self-hosted option with no artificial request caps; OpenRouter has no self-hosted option at all.

Existing infrastructure you already pay for: teams already on Cloudflare or Kong get AI gateway features bundled into a platform they're already running.

Compliance requirements: Portkey and Helicone both gate SOC2/HIPAA/ISO27001 behind paid tiers — check which tier actually includes the certification you need.

Protocol needs beyond REST: Kong is the only gateway here that natively routes gRPC, GraphQL, WebSocket, and Kafka traffic alongside AI calls.

Budget predictability: OpenRouter's usage-based, no-subscription model suits unpredictable traffic; TrueFoundry and Helicone's flat monthly tiers suit teams that want a fixed number to plan around.

How central observability is to your need: if cost analytics and query-language log search matter more than routing, Helicone's HQL is purpose-built for that; if routing and failover matter more, Portkey or LiteLLM fit better.

What Does an AI Gateway Cost for a 10-Person Team?

For a 10-person team running moderate production traffic, Portkey's Production tier at $49/month covers 100,000 logged requests before $9-per-100k overage kicks in — call it $50-70/month for most early-stage teams. LiteLLM stays at $0/month if you're willing to self-host, though you're trading that savings for your own ops time; its Enterprise tier is quote-only. Helicone's Pro tier runs $79/month with usage-based overage on top, while its Team tier (SOC2/HIPAA included) jumps to $799/month. TrueFoundry's Pro tier is $499/month for 10 users and 1M requests/month — the steepest flat-rate option here for a team this size. Kong and Cloudflare don't publish flat numbers: Kong's Plus tier is priced per gateway, and Cloudflare AI Gateway is bundled into whatever Cloudflare plan you already pay for. OpenRouter has no subscription at all — a 10-person team's cost is purely usage-based, tracking each model's own per-token rate.

Final Thoughts

Portkey is the strongest all-around pick if you need enterprise compliance, a real free tier, and an MCP Gateway that already covers 138+ servers — it's the one gateway here that doesn't force a tradeoff between features and price at the entry level. If your team wants to be routing across hundreds of models within the hour with zero infrastructure to stand up, OpenRouter is the fastest path there, even though its usage-based pricing means checking per-model rates instead of a flat number.

LiteLLM is the clear choice if self-hosting and zero subscription cost matter more than a managed dashboard — it's free, open source, and covers 100+ providers with no artificial caps. Kong and Cloudflare both make sense as an add-on rather than a new vendor if you're already running their platforms: Kong for multi-protocol API teams, Cloudflare for anyone already on its edge network. Helicone is worth a look specifically for observability and cost analytics, and TrueFoundry stands out for publishing exact MCP tool-call ceilings per tier instead of leaving you to guess.