| Product | Ideal for | Price from | Free version | |
|---|---|---|---|---|
| Routing and guardrails for LLM apps | Free | Yes | Visit | |
| Open source LLM gateway | Free | Yes | Visit | |
| Open model inference and hosting | Free | Yes | Visit | |
| Fast inference for AI models | Free | Yes | Visit | |
| Very fast LLM inference | Free | Yes | Visit | |
| AI routing inside Vercel apps | See website | Yes | Visit | |
| Gateway with caching and rate limits | Free | Yes | Visit |
We compared official feature pages, pricing pages, app store listings, privacy policies and public reviews to build this list. The options below cover well known leaders and strong smaller choices, and each one fits openrouter alternatives in a direct way.

Ideal for: Routing and guardrails for LLM apps

Portkey AI stands out for routing and guardrails for LLM apps. Unified gateway for many models gives it a clear edge for the people it serves best. It also offers observability built in, and fallbacks included. That combination is why it stays on the list even though cheaper or simpler options exist elsewhere. The right question is not whether it is good in general, but whether its strengths match the task you will use it for most often. The honest catch is worth weighing before you commit. Learning curve for advanced routing, and pricing scales with usage. That does not rule it out, but it does shape who should pick it. If those limits do not bother you, the strengths above may matter more than the gaps, and a free trial or free tier is the safest way to test the fit.

Ideal for: Open source LLM gateway

For open source LLM gateway, LiteLLM is a strong place to start. Open source and self hostable is the part users tend to notice first. It also offers wide model support, and standard api format. That combination is why it stays on the list even though cheaper or simpler options exist elsewhere. The right question is not whether it is good in general, but whether its strengths match the task you will use it for most often. No product here is perfect, and LiteLLM is no exception. Needs technical setup, while support depends on community and paid tiers. Weigh that against wide model support, and the choice becomes clearer. Try it on a small project first, check the pricing page for your plan, and only then move your main work over.

Ideal for: Open model inference and hosting

Together AI earns its place here because it fits open model inference and hosting well. Fast inference for open models is a practical reason to consider it. It also offers clear api docs, and free tier for testing. That combination is why it stays on the list even though cheaper or simpler options exist elsewhere. The right question is not whether it is good in general, but whether its strengths match the task you will use it for most often. What to watch out for is simple. Model catalogue changes over time, and enterprise pricing needs a quote. For many users that trade is fair, because clear API docs covers the main job well. For others, a different option on this list will fit better, which is why we compare the full set rather than naming one winner for everyone.

Ideal for: Fast inference for AI models
If your priority is fast inference for AI models, Fireworks AI deserves a close look. Speed focused inference helps explain why it keeps coming up in comparisons. It also offers good model range, and straightforward api. That combination is why it stays on the list even though cheaper or simpler options exist elsewhere. The right question is not whether it is good in general, but whether its strengths match the task you will use it for most often. The honest catch is worth weighing before you commit. Smaller ecosystem than the largest clouds, and some models need paid access. That does not rule it out, but it does shape who should pick it. If those limits do not bother you, the strengths above may matter more than the gaps, and a free trial or free tier is the safest way to test the fit.

Ideal for: Very fast LLM inference
We put Groq on this list for very fast LLM inference. Very low latency for supported models is the feature that most sets it apart in day to day use. It also offers free tier for developers, and simple api. That combination is why it stays on the list even though cheaper or simpler options exist elsewhere. The right question is not whether it is good in general, but whether its strengths match the task you will use it for most often. No product here is perfect, and Groq is no exception. Model choice is narrower than a full gateway, while rate limits apply on free use. Weigh that against free tier for developers, and the choice becomes clearer. Try it on a small project first, check the pricing page for your plan, and only then move your main work over.

Ideal for: AI routing inside Vercel apps
Vercel AI Gateway is best understood as a tool for aI routing inside Vercel apps. Easy routing for Vercel projects is where it does its best work. It also offers model switching, and usage tracking. That combination is why it stays on the list even though cheaper or simpler options exist elsewhere. The right question is not whether it is good in general, but whether its strengths match the task you will use it for most often. What to watch out for is simple. Best for teams already on Vercel, and standalone use is less central. For many users that trade is fair, because model switching covers the main job well. For others, a different option on this list will fit better, which is why we compare the full set rather than naming one winner for everyone.

Ideal for: Gateway with caching and rate limits
Among the options for gateway with caching and rate limits, Cloudflare AI Gateway is one of the more dependable choices. Caching and rate limiting is a solid starting point for judging it. It also offers works across providers, and generous free tier. That combination is why it stays on the list even though cheaper or simpler options exist elsewhere. The right question is not whether it is good in general, but whether its strengths match the task you will use it for most often. The honest catch is worth weighing before you commit. Setup assumes some Cloudflare familiarity, and analytics depth varies by plan. That does not rule it out, but it does shape who should pick it. If those limits do not bother you, the strengths above may matter more than the gaps, and a free trial or free tier is the safest way to test the fit.
We started from the topic itself and kept only products that exist and work in October 2026 and fit the topic directly. We checked official feature pages and pricing pages, app store listings where they apply, privacy policies and public reviews, and we left out products whose homepage did not load or did not belong to that product. Prices marked See website are ones we could not confirm in full from the vendor page at the time of writing, so check the vendor site before you buy. We did not claim hands-on testing we did not do. Our judgement comes from comparing what each vendor publishes, what reviewers report in practice, and where each product is strong or weak for a specific kind of user. That is why the list mixes well known leaders with smaller options that do one job well.
Start with the job you need done, not the longest feature list. A tool that covers your main task well beats a larger tool you only half use. Check the free tier first, test it with a real example from your own work, and look at how easy it is to leave if your needs change. Price is only part of the cost. Setup time, learning time and the effort to move your data later all count. Read the pricing page, note what sits on higher plans, and check whether the free tier covers your daily use or just a short trial. Privacy and support matter more than they appear in a feature list. Read the privacy policy for data use and retention, test support with a real question if you can, and check public reviews for recurring problems rather than single complaints. Set a short test before you commit. Use the same real task in two options, note how long each one takes, and check the export or cancellation steps. A product that passes a small real test is a safer buy than one that only looks good on a feature page. Finally, check the details that affect you directly, such as device support, language support, regional availability and customer support hours. Those details decide whether a good product on paper is also good for your daily routine.
There is no single winner for everyone. Portkey AI is a good starting point for routing and guardrails for llm apps, while LiteLLM suits open source llm gateway. Compare both on a real task before you decide.
Yes, several options on this list offer a free plan or a free trial, including Portkey AI and Together AI. Free tiers usually limit features, storage or usage, so read the pricing page to see what is included.
Prices vary by plan, team size and region, and some vendors do not publish full pricing. Where we could not confirm a price, we marked it See website, and we recommend checking the vendor pricing page for the plan you need.
Start with your main task, then check price, free tier limits, device support and how easy it is to move your data later. A short trial with a real example from your work will tell you more than a feature list.
In most cases yes, but the effort varies. Check export options and contract terms before you commit, and avoid building your whole workflow around a feature that only exists on a higher plan.