Loading...Working on your request
NextModel Viet Nam · production gateway · tuong thich OpenAI

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.

prompt: "Chon mot mo hinh cho workload nay."
anclaude-sonnet-4-51.2s
chi phi: $0.00321
opgpt-4o-mini0.6s
chi phi: $0.00012
gogemini-2-5-flash0.5s
chi phi: $0.00008
dedeepseek-v30.9s
chi phi: $0.00037
Requests / sec42,891
Lowest input$0.112
Model sources42 / growing
Gateway statusOK

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.

OpenAI migrationsKeep the SDK

Change base_url and compare providers without reworking the call shape.

Growing spendSee cost early

See the difference between Fresh and Exact cache before traffic multiplies.

ReceiptsVisible facts

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.

nguon mo hinh duoc ho tro · khong phai hop tac chinh thuc
anAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshotanAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshot
vi sao nextmodel

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.

01 · one sdk

OpenAI SDK, nhieu nguon mo hinh.

Da dung OpenAI? Doi base_url va van giu chat completions, streaming, tools va workflow dinh huong JSON.

pythonnodecurl
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=[...],
)
02 · routing

Policy truoc traffic production.

Lam routing theo workload, nguon, ngan sach, latency hoac capability thay vi rai quy tac khap cac dich vu.

03 · billing

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.

api.web$353 · 42%agent.eval$235 · 28%rag.ingest$151 · 18%dev$101 · 12%
04 · price

So sanh khoang cach truoc khi goi.

GPT-4o mini$0.15
Doubao Mini$0.20
Gemini Flash$0.30
DeepSeek R1$0.70
Gemini Pro$1.25
Claude Sonnet$3.00
05 · governance

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.

42 mo hinh
kich thuoc theo doiproject · key · source
lop chinh sachbudgets · providers
che do SDKtuong thich voi OpenAI
06 · regions

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.

do thi mo hinh truc tiep

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.

Dedeepseek-v4-flashMimistral-small-3-2Opgpt-4o-miniMellama-4-maverickVodoubao-seed-2-0...Gogemini-2-5-flashDedeepseek-r1Qwqwen3-coder-plusKikimi-k2-6Qwqwen3-max
api.nextmodel.app

Quickstart

Three steps from an existing SDK to visible spend control.

StepCreate an API key

Issue a key for the project, environment, or workload you want to track.

Stepbase_url

Set the OpenAI SDK base URL to https://api.nextmodel.app/v1.

StepStart calling models

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.

Usage analyticsProject + key

Understand which applications and environments are driving model spend.

Billing semanticsFresh + Exact

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.

Python
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)
Node
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
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 benchmark

Bat 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.