OpenLuxAI API gateway: how to choose one in 2026
Choose a hosted gateway such as OpenLux when your priority is one OpenAI-compatible endpoint, published model prices and a fast integration. Choose LiteLLM when you need to self-host the control plane, Portkey when governance and observability are the main buying criteria, and OpenRouter or AI/ML API when maximum catalogue breadth matters more than a simpler operating model.
Reviewed by OpenLux Engineering Team · Last verified
AI API gateway comparison at a glance
This is a decision table, not a winner list. Each product is strongest for a different operating model. Verify current features and pricing on the linked official pages before purchase.
| Option | Best for | Main strength | Trade-off to verify |
|---|---|---|---|
| OpenLux | Teams wanting a simple hosted OpenAI-compatible gateway with published low model rates | One key and endpoint across 19 text, image, audio, video and retrieval models; USD usage and console logs | Catalogue breadth is narrower than the largest marketplaces; confirm any contract, region or compliance requirement |
| OpenRouter | Developers who prioritise catalogue breadth, model discovery and community familiarity | Large hosted model marketplace with a unified interface and model exploration tools | Verify current fees, regional access, data policy and billing options for your company |
| AI/ML API | Teams buying a hosted catalogue that spans many model families and product categories | Broad model coverage with consumer and developer-facing access patterns | Confirm which models, modalities and support terms are included in the plan you need |
| Portkey | Platform teams that need gateway governance, observability and production controls | Configuration-heavy control plane for routing, guardrails and operational visibility | More setup and governance surface than a small team may need |
| LiteLLM | Engineering teams that need to self-host or deeply customise the gateway layer | Open-source proxy and gateway approach with infrastructure control | Your team owns deployment, upgrades, monitoring and the security boundary |
How we evaluated this
We reviewed the public product pages, documentation and pricing pages for OpenRouter, AI/ML API, Portkey, LiteLLM and OpenLux on 20 October 2026. The comparison focuses on the decisions that change after the demo: integration model, operating responsibility, billing transparency, protocol coverage and the ability to verify what happened to a request.
OpenLux is one of the options on this page, so we disclose that relationship directly. We do not claim hands-on testing of every competitor. Vendor-specific claims should be checked against the official documentation at purchase time because features and prices change.
What should you verify before choosing an AI API gateway?
Use the same eight checks for every vendor. The answers matter more than the length of the model catalogue.
- The exact models and modalities your product uses are available, with a clear deprecation policy.
- Streaming, tool calling, multimodal input and error shapes behave like the SDK contract your application expects.
- Input, output, cache, image, audio and request prices are published in one place and match the invoice.
- You can see per-request model, latency, usage and cost data without building a separate logging pipeline.
- The gateway documents authentication, key scopes, spend limits, data retention and incident escalation.
- Your required region, currency, invoice method and procurement terms are supported in writing.
- A small production-like workload can run for a defined trial period with measurable latency and failure results.
- You know how to leave: canonical model names, exportable logs and a migration path back to direct provider APIs.
What is an AI API gateway?
An AI API gateway is an access layer between your application and one or more model providers. It authenticates the request, selects an upstream model, applies policy, records usage and returns a normalised response. The gateway can be a hosted SaaS product, a self-hosted proxy or a thin routing service inside your own platform.
The value is not merely fewer vendor keys. A well-run gateway gives product teams a stable interface while infrastructure teams gain a place to enforce spend limits, observe failures and change providers without shipping a new client release.
What is the difference between a gateway, router, aggregator and proxy?
An aggregator focuses on access: one contract and one catalogue in front of many providers. A router focuses on selection: it chooses an upstream model or provider based on policy. A gateway usually combines aggregation and routing with authentication, metering and policy. A proxy is the simplest form: it forwards compatible requests but may not add billing, observability or model governance.
Those categories overlap in real products. OpenRouter and OpenLux are commonly described as aggregators; Portkey and LiteLLM are commonly described as gateways; individual routing products may call themselves routers. Read the product capabilities rather than relying on the label.
What should you compare first?
Start with protocol completeness and the models you actually need. A catalogue with 500 models is not useful if the two models behind your product return different tool-call shapes or fail to stream through your SDK. Test chat completions, streaming, tools, multimodal messages and the error cases your application handles.
Then compare the economics. A unit price is only one part of the bill: cache behaviour, minimum purchases, plan credits, overage treatment and payment currency all affect the real cost. Ask for a worked example at a realistic monthly volume and compare it with the invoice fields.
Which team should choose which gateway?
Small product teams usually benefit from a hosted gateway because it removes infrastructure work and shortens the path from an API key to a production request. OpenLux is designed for that scenario: one endpoint, published USD rates, console usage records and an OpenAI-compatible client.
Platform teams with existing cloud controls may prefer a self-hosted layer because the gateway becomes part of their own security boundary. Portkey can fit governance-heavy programmes, while LiteLLM fits teams that want to own and customise the proxy. OpenRouter and AI/ML API are reasonable shortlists when breadth and discovery are the deciding factors. None of these choices is universally better.
Where does OpenLux fit?
OpenLux provides one OpenAI-compatible endpoint at https://openlux.lol/v1 for 19 production models across OpenAI, Anthropic, Google, DeepSeek, Qwen, Doubao, Flux, Suno and Kling families. The public catalogue lists the price for each model, and the same catalogue rate is used for metered USD usage in the console.
The trade-off is deliberate. OpenLux is not trying to be the largest marketplace or a self-hosted control plane. It is a hosted access layer for teams that want a compact catalogue, a familiar SDK contract, transparent model rates and a billing relationship that does not require a dozen vendor accounts.
When is another gateway the better choice?
Choose another gateway if you need a very large model catalogue, a self-hosted security boundary, advanced policy configuration or enterprise controls that OpenLux does not currently document. A vendor page that hides those concessions is not giving the buyer enough information to make a professional decision.
For OpenLux specifically, verify that every model you require is in the public catalogue and that the plan, invoice and support terms match your organisation. If your business depends on a feature outside the documented API, ask before migrating rather than assuming compatibility.
How do you migrate without breaking production?
Start with a non-critical service. Copy the existing request body, change base_url to https://openlux.lol/v1, replace the API key and map each model name to the catalogue name. Run the same tests against both endpoints and compare response shape, latency, stream termination, tool-call structure and usage cost.
Keep the old provider available during the trial. Route a fixed percentage or a non-critical queue first, watch the console logs and only then move the default. This is safer than a big-bang migration and produces evidence your team can review.
What should you put in a pilot scorecard?
Measure success rate, p50 and p95 latency, time to first token, cost per successful request, unsupported responses, support response time and the number of code changes required. Use the same prompt set and traffic profile for the gateway trial and the incumbent so the comparison is fair.
After two weeks, decide whether the gateway reduced operational work or merely moved it somewhere else. A hosted gateway is worth keeping when the time saved on provider accounts, billing and observability is greater than the cost and any feature gaps.
OpenLux models commonly used in gateway pilots
| Model | Vendor | Price | Vs. official |
|---|---|---|---|
| gpt-5.6-sol | OpenAI | $0.1838 / 1M tokens | -96% |
| gemini-3.8-flash | $0.0551 / 1M tokens | -92% | |
| claude-opus-5 | Anthropic | $0.4412 / 1M tokens | -91% |
| deepseek-v4 | DeepSeek | $0.0613 / 1M tokens | -90% |
Prices are metered in USD; the full list lives in the model catalogue.
Key takeaways
- Choose the operating model first: hosted convenience, self-hosted control or governance-heavy platform.
- Test the protocol paths your product actually uses before comparing catalogue size.
- Compare the total billing model, not a headline price per token.
- OpenLux is strongest for teams that want a compact, published-price, OpenAI-compatible hosted gateway.
- Keep a migration path open: stable model names, exportable logs and a direct-provider fallback reduce lock-in.
Frequently asked questions
What is an AI API gateway used for?
It gives applications one authenticated interface to multiple AI models, while centralising routing, usage metering, billing and policy. Teams use it to avoid separate provider integrations and to change models without rewriting the client.
Is OpenLux a router or an aggregator?
OpenLux is a hosted OpenAI-compatible aggregator and access gateway. It exposes a common endpoint and model catalogue; advanced routing policy, self-hosting and enterprise controls should be confirmed against the product documentation for your use case.
Can I use the OpenAI SDK with OpenLux?
Yes. Set the SDK base URL to https://openlux.lol/v1, use an OpenLux API key and set the model field to a catalogue name. The Chat Completions request and response shape remains familiar.
How do I compare gateway pricing fairly?
Build a worked example from your actual monthly token and request volume. Include cache, image or audio units, plan credits, taxes, payment currency and the cost of operating a self-hosted gateway. Compare the resulting monthly bill and invoice detail, not only the token rate.
Which gateway is best for a small startup?
A hosted gateway is usually the faster starting point. Compare OpenLux, OpenRouter and AI/ML API on the models you need, payment method and support terms. A self-hosted gateway is compelling when you already have platform engineers and strict control requirements.
Which gateway is best for enterprise procurement?
The answer depends on contract terms, data handling, identity, audit, invoicing and support. Portkey and self-hosted LiteLLM are relevant when control is the priority; OpenLux should be evaluated when its documented access, billing and support model fits the requirement.
Sources and official documentation
- OpenLux model catalogueCurrent model names and published USD rates.
- OpenLux API documentationBase URL, supported endpoints and migration examples.
- OpenRouterOfficial product and model marketplace.
- AI/ML APIOfficial catalogue and plan information.
- PortkeyOfficial AI gateway and governance documentation.
- LiteLLMOfficial open-source AI gateway information.
Keep reading
AI API gateway pricing
Work through token, request and plan costs with a calculator.
Enterprise API procurement
The contract, data, access and support checklist.
OpenRouter alternative checklist
A focused comparison for teams already considering OpenRouter.
LiteLLM vs OpenRouter
Compare self-hosted control with a hosted marketplace.
What is an LLM API aggregator?
Understand the category and its operating model.
AI API gateway security
Verify data flow, keys, retention and upstream risk.
OpenAI-compatible API
How migration and protocol compatibility work.
Free LLM API guide
Compare free-tier constraints and paid fallback economics.
LLM router guide
Learn when routing policy is worth the added complexity.
LLM API rate limits
Build bounded retry and concurrency controls for 429 errors.
LLM API observability
Connect request logs, metrics and alerts to gateway operations.
Test the OpenLux gateway on one service
Create a key, point the OpenAI SDK at OpenLux and compare latency, cost and logs before moving production traffic.