Your workload is large. Your integration does not have to be.

Fund one USD balance and use one invoice surface. Run long Chinese AI workloads, check dated rates and request-level charges, and keep the same OpenAI-compatible client when the model changes.

Request route
01
Client requestOpenAI-compatible payload
received
02
AIWave routeone key and route policy
checked
03
Selected upstreammodel ID: deepseek-v4-pro
selected
04
Request ledgerinput, cache-hit, output, group
recorded
Model ID stays visibleCharge basis stays visible
Workload planner

Put a request shape beside the rate card.

Choose a workload, estimate one request, and copy a starting call. The worksheet stays in your browser and shows its assumptions.

Test these situations before you move a workload.

Use the payload and request record from your application for each test.

01

The coding agent reaches a context boundary during a long run.

Keep the model ID, compact the history and tool traces, then test the same workload on a longer route before you resume the run.

Context and output fit
02

The upstream route changes.

Keep the OpenAI-compatible client and request shape. Test the replacement model ID without adding another client integration.

Client contract
03

One request's bill needs an explanation.

Read the input, cache-hit input, output, effective group, status, and timestamp from the same request record.

Charge basis
Hidden admin cost

Estimate the monthly work around separate provider accounts.

Enter your account count, maintenance time, and loaded engineering cost. Compare that total with the administration time you expect for AIWave.

Input stays in your browser. The output is your estimate, not guaranteed savings.

Monthly administration inputs
Your monthly estimate
Separate provider administration
$540.00
AIWave administration
$40.00
Estimated difference
$500.00

Formula: accounts × minutes per account ÷ 60 × hourly cost, compared with AIWave administration minutes ÷ 60 × hourly cost.

What you stop managing

One route replaces repeated account tasks. You still need to test the workload.

01

Separate balance and payment surfaces for each provider account.

02

Repeated keys and secret rotation points in each integration.

03

Client-specific switch work when the selected upstream changes.

04

Bills that must be reconciled across separate provider consoles.

Model quality, upstream changes, retries, and workload acceptance still require your own tests.

Capability proof

One USD balance and invoice surface across the routes you use.

Check the route against your workload. Keep the rate, request record, and client contract visible while you evaluate it.

DeepSeekGLMKimiERNIEMiniMaxQwenDoubaoStepFunMiMo

One USD balance and invoice surface

Long-context workload fit · 1M-Token Contexts

Dated Rate Card · Per-Request Ledger · Singapore RoutePer-Request Billing

OpenAI-Compatible · One Key · USD Billing

Before the first request

Frequently asked questions

Do I have to rewrite my OpenAI client?

For supported chat requests, change the base URL and key. Pin the tested model ID, then review timeout and retry behavior.

Where do I create and manage an API key?

Create and manage the key in Console. Store it outside source control, and review or revoke it from your account.

How is one request billed?

The request ledger separates input, cache-hit input, output, and the effective group multiplier. Check the dated rates before you fund the account.

How should I plan a long-context request?

Count system instructions, history, tool traces, files, and reserved output. Test one representative payload, then reconcile the result with the request ledger.

What should I inspect when a request fails?

Keep the model ID, request ID when available, status, timestamp, and error body. Balance, 429, timeout, and overflow failures need different recovery steps.

Acceptance check

Run one request before you move a workload.

Use the same payload shape the app will send. Check the answer, request record, and charge, then decide.