SambaNova
The site itself puts it this way: Discover - the complete AI platform delivering the fastest AI…
Open-source self-hosted gateways and deployment tooling — run your own relay layer and keep the data entirely under your control. Suited to technical teams with ops capability.
The site itself puts it this way: Discover - the complete AI platform delivering the fastest AI…
GitHub (helicone/helicone) is an overseas AI API relay and aggregation service. Model coverage s…
A globally hosted relay that fronts a range of AI model APIs. Claude, GPT, Gemini, DeepSeek and…
An overseas AI API relay and aggregation service. Model coverage spans Claude, GPT. You supply t…
An overseas AI API relay and aggregation service. Model coverage spans Claude, GPT, Gemini. The…
The site itself puts it this way: Debug your AI agents in real time. Comprehensive observability…
A globally hosted relay that fronts a range of AI model APIs. It covers the GPT families. The st…
GitHub (Portkey-Ai/gateway) is an overseas AI API relay and aggregation service. Claude and othe…
A self-hosted API gateway project: you run it, you keep the data. Claude and other families are…
Per the service's own site: Dify is the platform for production-ready agentic workflows. The sta…
This category is not relays at all, but open-source projects you can use to run a relay of your own — One API, New API, LiteLLM and similar. What they share: open code, self-deployable, and data entirely under your own control.
When is self-hosting worth it? The test is fairly clear: the data is genuinely sensitive and cannot pass through a third party; the call volume is large enough to amortise the operational cost; and someone on the team can take on deployment and maintenance. If any one of the three is missing, a ready-made service is usually the better deal.
The cost of self-hosting is not just a server. You also have to account for where the upstream keys come from (you connect to each vendor's open platform yourself), high-availability design (a single-machine deployment stops everything when it fails), and ongoing maintenance (upstream API changes have to be tracked). Once all of that is counted, "self-hosting is cheaper" usually does not hold — what you buy is control, not savings.
A pragmatic middle path is a self-hosted gateway with official upstreams: use a tool such as One API for unified authentication, quotas and logs, and connect directly to each vendor's official platform. That keeps control of your data and accounting without having to run the forwarding path yourself.
The picks below are computed live from the current measurements, not fixed conclusions — change the data and the picks change with it. Each states its basis, and you can open the detail page to check it yourself.
The top 10 services by overall score in this category. 0 of them are confirmed to expose a /v1/models endpoint — that figure comes from probing, not from the services' own claims.
| Service | Region | Uptime | Latency | Models | Payment | API |
|---|---|---|---|---|---|---|
|
SambaNova
sambanova.ai
|
Global / overseas | 100% | 608 ms | 6 | — | Unconfirmed |
|
GitHub (helicone/helicone)
github.com
|
Global / overseas | 70.49% | 1077 ms | — | Credit card | Unconfirmed |
|
GitHub (1Panel-dev/MaxKB)
github.com
|
Global / overseas | 70.49% | 1100 ms | — | — | Unconfirmed |
|
GitHub (VoltAgent/voltagent)
github.com
|
Global / overseas | 70.49% | 1463 ms | — | — | Unconfirmed |
|
GitHub (berriai/litellm)
github.com
|
Global / overseas | 70.49% | 1107 ms | — | — | Unconfirmed |
|
GitHub (Portkey-Ai/gateway)
github.com
|
Global / overseas | 72.13% | 1084 ms | — | — | Unconfirmed |
|
GitHub (labring/FastGPT)
github.com
|
Global / overseas | 75.41% | 1032 ms | — | — | Unconfirmed |
|
GitHub (langgenius/dify)
github.com
|
Self-hosted | 72.13% | 1136 ms | — | — | Unconfirmed |
|
The Fastest Enterprise AI Gateway
langdb.ai
|
Global / overseas | 100% | 994 ms | — | — | Unconfirmed |
|
dify.ai
dify.ai
|
Global / overseas | 100% | 931 ms | — | Credit card | Unconfirmed |
The questions we see most often about this category. The guidance applies to the category as a whole, not to any single service.
Usually not, unless your volume is large. What you save is the rate markup; what you add is server cost, the labour for deployment and maintenance, and the work of high-availability design. At modest monthly volume, a ready-made service's markup is normally less than the hidden cost of self-hosting.
New API is a fork that continues active development on top of One API, with a faster-moving feature set and quicker support for newer protocols. Choose on maintenance activity and the range of upstreams you need — both provide the core ability to unify multiple upstreams behind one endpoint.
You register on each vendor's open platform and obtain them yourself. That means dealing with each vendor's identity requirements, payment methods and quota limits — work that is routinely underestimated. If avoiding the markup is your only reason, price this part first.
Yes — and that is the most concrete value of self-hosting: there is no third party in the path, so the model you request is the model you reach. The price is carrying upstream stability yourself: when the official platform throttles you, there is no alternative channel.
Not if nobody can maintain it continuously. Self-hosting means tracking upstream API changes, handling certificates and domains, and running backups and monitoring. A reasonable compromise is to start with a ready-made service and re-evaluate once both your volume and your data sensitivity pass a threshold.
This page shows you what exists; the pages below show you who is more stable, faster and cheaper. Read together, they tell you more than either alone.