Who is NextModel for?

NextModel is for developers and small teams with real API traffic. It helps them keep spend visible through one OpenAI-compatible hosted API without rewriting their integration.

What problem does it solve?

It turns Fresh calls, exact-cache discounts, and receipts into one visible layer above the SDK, so developers can understand cost before traffic and spend scale.

Where should I start?

Start with the pricing page, the quickstart docs, and receipts. Those pages show the unit economics, the smallest code change needed to get live, and how each request stays explainable.

NextModel Indonesia · gateway production · kompatibel OpenAI

All models.One API.

Kendalikan biaya AI API melalui satu hosted API kompatibel OpenAI untuk tim Indonesia. Misses memanggil upstream asli, replay Exact cache terverifikasi ditagih dengan diskon, dan kuitansi menjaga visibilitas biaya tanpa menulis ulang integrasi SDK Anda.

Get API Key View pricing Quickstart

›prompt: "Pilih model untuk workload ini."

anclaude-sonnet-4-51.2s

biaya: $0.00321

opgpt-4o-mini0.6s

biaya: $0.00012

gogemini-2-5-flash0.5s

biaya: $0.00008

dedeepseek-v30.9s

biaya: $0.00037

Requests / sec42,891

Lowest input$0.112

Model sources42 / growing

Gateway statusOK

Untuk siapa

Dibuat untuk developer dan tim kecil dengan trafik API nyata.

Jika Anda memantau biaya token, request berulang, dan kecepatan integrasi, ini adalah lapisan hosted API di atas SDK Anda yang sekarang.

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.

Jawaban langsung

Apa itu NextModel?

NextModel adalah hosted API kompatibel OpenAI untuk developer dan tim kecil yang ingin mengelola Fresh fallback, diskon Exact cache, dan kuitansi transparan sebelum biaya model meningkat.

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.

sumber model yang didukung · bukan kemitraan resmi

anAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshotanAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshot

mengapa nextmodel

Satu gateway.
Buat pengeluaran, kebijakan, dan sumber tetap terlihat.

Keluarkan pemilihan model, aturan anggaran, perbandingan sumber, dan pelaporan usage dari kode aplikasi. API tetap familier sementara lapisan keputusan menjadi terlihat bagi tim produk dan platform.

01 · one sdk

OpenAI SDK, banyak sumber model.

Sudah memakai OpenAI? Ganti base_url dan pertahankan chat completions, streaming, tools, dan alur kerja berorientasi 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

Kebijakan sebelum trafik production.

Lakukan routing berdasarkan workload, sumber, anggaran, latency, atau capability alih-alih menyebar aturan di berbagai layanan.

03 · billing

Biaya per key, proyek, dan tim.

Lihat jalur aplikasi mana yang mendorong biaya token dan jadikan pemilihan model sebagai keputusan operasional.

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

04 · price

Bandingkan celah sebelum memanggil.

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

Operasi model yang sadar anggaran.

Bawa key Anda sendiri, tetapkan batas proyek, dan simpan jejak audit yang jelas untuk belanja model API.

42 model

dimensi yang dilacakproject · key · source

lapisan kebijakanbudgets · providers

mode SDKkompatibel dengan OpenAI

06 · regions

Domestik + global, satu endpoint.

Bandingkan sumber model Chinese dan global dari satu antarmuka tanpa menyiratkan kemitraan resmi.

graf model langsung

42 model,
satu shortlist.

Satu endpoint untuk perbandingan model. Periksa harga, estimasi latency, sumber penyedia, dan kecocokan workload sebelum melakukan routing trafik production.

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.

Tata kelola biaya

Jaga Fresh, cache, dan kuitansi tetap terlihat sebelum pengeluaran meningkat.

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

Mulai sekarang

Pick the model, then govern the spend.

Open quickstart, copy a request, and compare your real workload against Fresh and Exact cache pricing.

Mulai membangun Lihat model