Official, not resold
Capacity is bought through official provider APIs — not account pools, shared keys or grey-market relays. That is what makes the throughput and the commitments real enough to write into a contract.
Enterprise AI Gateway
The enterprise AI gateway for leading models.
GLM, Qwen and MiniMax on official provider APIs — under one agreement, one integration and one set of controls.
Built for teams running real production workloads.
Official provider APIsNot resold pools or shared accounts
Throughput that holdsOfficial capacity, isolated per customer
99.9% availability commitmentWith tiered service credits, in contract
One agreementEvery model in scope, one signature
Slow and steady wins the race.
Steady and fast.
The saying makes you choose. Enterprise AI shouldn’t: reliability comes from the channel you buy through, not from throttling what your teams can do.
Throughput that holds
High sustained request rates on official capacity, isolated per customer, so a neighbour’s traffic spike never becomes your incident — and pinning a model version doesn’t quietly cap you.
99.9% availability commitment
Committed in the agreement, with tiered service credits and the exclusions stated plainly. Published measurement follows on our public method; the commitment is contractual today.
Your teams get new models months before the hyperscalers list them.
We publish the wait, per provider, with the source and date behind every entry. It is the same ledger we run the service against.
Last verified · 2026-07-26How we verify
| Model | Released | Model Studio | AWS Bedrock | Azure AI Foundry |
|---|---|---|---|---|
| deepseek-v4 | 2026-04DeepSeek release announcement · 2026-07-26 | availableModel Studio international catalog · 2026-07-26 | listed “coming soon” · 94+ days waitingAWS Bedrock model catalog · 2026-07-26 | unverified |
| qwen3.7-max | 2026-07-19Qwen release announcements · 2026-07-26 | availableModel Studio international catalog · 2026-07-26 | closed weights — cannot be hosted elsewhereQwen model card (API-only, weights not published) · 2026-07-26 | closed weights — cannot be hosted elsewhereQwen model card (API-only, weights not published) · 2026-07-26 |
| glm-5.1 | unverified | availableModel Studio international catalog · 2026-07-26 | unverified | unverified |
Every cell carries its source and verification date. Cells marked unverified are exactly that — we publish what we have checked, nothing more.
Works with the AI stacks your teams already run.
A standard API contract means the agent frameworks, coding assistants and internal tools your teams have already adopted connect without new engineering — and keep working when the model behind them changes.
Agent frameworks
Point an existing agent stack at one endpoint instead of maintaining a provider integration per model.
Coding assistants
The same contract serves developer tooling, where repetitive context makes cached input materially cheaper.
Internal applications
Swap the model behind a product feature without a release, a rewrite, or a new vendor review.
GLM, Qwen and MiniMax — under one agreement.
Those three lead the catalog because they carry the most enterprise production load today. The flagship Qwen line publishes no weights, so it exists only on the platform we buy through; everything else is open-weight and sits behind the same controls.
Closed commercial Qwen
Weights are not published, so no hosted-inference provider can offer these models at all. Access runs through the publishing platform — which is our official upstream.
- qwen3.7-max
- qwen3.7-plus
- qwen3.8-max-preview
Open-weight: GLM, MiniMax, DeepSeek, Kimi
GLM, MiniMax, DeepSeek, Kimi and open-weight Qwen — the models your teams already evaluate, under one key and one set of controls.
- qwen3.6-27b
- deepseek-v4
- deepseek-v4-flash
- glm-5.1
- kimi-k2.7-code
- minimax-m3
Lock a model version without losing your throughput.
Enterprise teams pin versions so results stay reproducible. On the underlying platform that choice cuts the request ceiling by a factor of 500, and every key on an account draws from the same pool — so one team’s spike becomes another’s outage. Absorbing that is the service.
30,000Requests per minute on a floating model alias
60Requests per minute once a version is pinned
500×The gap we take on so your teams don’t
Source: Alibaba Cloud Model Studio rate-limit documentation · verified 2026-07-26
You keep the decisions. We run the plumbing.
We operate
- Region placement, with capacity isolated to your account
- Version pinning without the throughput collapse
- Upstream failure handling and routing
- Contract terms, service remedies, and the evidence behind them
You control
- Which models run in production, and when they change
- Your prompts, your data, and your retention choices
- When to pin a version and when to float
- Your own measurement of quality and latency
How engagements start.
Tell us the workload
Team, models of interest, monthly volume, region needs. One email — that is the whole form.
Run a scoped pilot
A region, a capacity allocation, your model list. You measure it with your own traffic.
Move to a contract
Committed service terms, isolated capacity, version pinning, and remedies — in writing.
Let’s scope your workload.
Tell us your team, the models you care about, and your monthly volume. We come back with a written quote and a pilot plan.
Talk to our team
hello@steadygateway.comReply within one business day · NDA available on request