Change base_url and compare providers without reworking the call shape.
All models.One API.
Kiem soat chi phi AI API bang mot hosted API tuong thich OpenAI cho cac doi ngu o Viet Nam. Misses goi upstream that, replay Exact cache da xac minh duoc tinh phi giam gia, va bien lai giu chi phi hien ro ma khong can viet lai tich hop SDK.
Danh cho ai
Duoc xay dung cho developer va doi nho co luong API thuc te.
Neu ban dang theo doi chi phi token, request lap lai va toc do tich hop, day la lop hosted API nam tren SDK hien tai cua ban.
NextModel turns Fresh calls, exact-cache discounts, and receipts into one visible control layer above the SDK. That gives developers a place to keep unit economics honest and adopt a hosted API without reworking the app.
See the difference between Fresh and Exact cache before traffic multiplies.
Each request can expose served mode, usage source, and receipt links.
Tra loi truc tiep
NextModel la gi?
NextModel la hosted API tuong thich OpenAI cho developer va doi nho muon quan ly Fresh fallback, giam gia Exact cache va bien lai minh bach truoc khi chi phi model tang len.
Teams use NextModel when they want a compatible hosted API without losing visibility into billing facts. The gateway keeps the familiar OpenAI SDK shape while adding transparent pricing context, exact-cache reuse, and receipts.
Mot gateway.
Giu chi tieu, chinh sach va nguon luon hien ro.
Dua viec chon mo hinh, quy tac ngan sach, so sanh nguon va bao cao usage ra khoi ma ung dung. API van quen thuoc trong khi lop ra quyet dinh tro nen ro rang voi doi ngu product va platform.
OpenAI SDK, nhieu nguon mo hinh.
Da dung OpenAI? Doi base_url va van giu chat completions, streaming, tools va workflow dinh huong JSON.
client = OpenAI(
base_url="https://api.nextmodel.app/v1",
api_key=os.environ["NM_KEY"],
)
client.chat.completions.create(
model="claude-sonnet-4-5",
messages=[...],
)Policy truoc traffic production.
Lam routing theo workload, nguon, ngan sach, latency hoac capability thay vi rai quy tac khap cac dich vu.
Chi tieu theo key, du an va doi.
Thay duoc duong di ung dung nao dang tao chi phi token va bien viec chon mo hinh thanh quyet dinh van hanh.
So sanh khoang cach truoc khi goi.
Van hanh mo hinh co y thuc ngan sach.
Mang key rieng cua ban, dat gioi han theo du an va giu audit trail ro rang cho chi tieu model API.
Noi dia + toan cau, mot endpoint.
So sanh nguon mo hinh Chinese va global tu mot giao dien ma khong ham y hop tac chinh thuc.
42 mo hinh,
mot shortlist.
Mot endpoint de so sanh mo hinh. Kiem tra gia, uoc tinh latency, nguon nha cung cap va do phu hop cua workload truoc khi routing traffic production.
Quickstart
Three steps from an existing SDK to visible spend control.
Issue a key for the project, environment, or workload you want to track.
Set the OpenAI SDK base URL to https://api.nextmodel.app/v1.
Use a model ID from the catalog, then compare cost and output quality.
Quan tri chi phi
Giu Fresh, cache va bien lai hien ro truoc khi chi phi mo rong.
This is the layer developers and small teams need once request volume and spend start to grow.
Understand which applications and environments are driving model spend.
See which requests hit the real upstream and which were safely replayed.
Transparent workflows
- Send requests through one OpenAI-compatible interface.
- Misses call the real upstream model.
- Exact cache hits are replayed with discounted billing.
- Use receipts and usage exports to reconcile what happened.
Docs CTA
Copy a working request in Python, Node, or curl.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.nextmodel.app/v1"
)
resp = client.chat.completions.create(
model="doubao-seed-2-0-mini",
messages=[{"role": "user", "content": "Hello from NextModel"}]
)
print(resp.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.NEXTMODEL_API_KEY,
baseURL: "https://api.nextmodel.app/v1",
});
const response = await client.chat.completions.create({
model: "doubao-seed-2-0-mini",
messages: [{ role: "user", content: "Hello from NextModel" }],
});
console.log(response.choices[0].message.content);curl https://api.nextmodel.app/v1/chat/completions \
-H "Authorization: Bearer $NEXTMODEL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "doubao-seed-2-0-mini",
"messages": [{"role": "user", "content": "Hello from NextModel"}]
}'New benchmark
Before you enable caching, measure whether reuse is safe.
CacheSafety Bench checks safe hit rate, bad hit rate, semantic trap failures, and cost savings before teams trust a cache layer.
CacheSafety Bench helps teams compare safe hit rate, bad hit rate, semantic trap failures, and cost savings before they trust a cache layer in production.
Explore benchmarkBat dau ngay
Pick the model, then govern the spend.
Open quickstart, copy a request, and compare your real workload against Fresh and Exact cache pricing.