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 Malaysia · gerbang production · serasi OpenAI

All models.One API.

Kawal kos AI API melalui satu API hos serasi OpenAI untuk pasukan di Malaysia. Misses memanggil upstream sebenar, replay Exact cache yang disahkan dibil dengan diskaun, dan resit mengekalkan keterlihatan kos tanpa menulis semula integrasi SDK anda.

Get API Key View pricing Quickstart

›prompt: "Pilih model untuk beban kerja ini."

anclaude-sonnet-4-51.2s

kos: $0.00321

opgpt-4o-mini0.6s

kos: $0.00012

gogemini-2-5-flash0.5s

kos: $0.00008

dedeepseek-v30.9s

kos: $0.00037

Requests / sec42,891

Lowest input$0.112

Model sources42 / growing

Gateway statusOK

Untuk siapa

Dibina untuk pembangun dan pasukan kecil dengan trafik API sebenar.

Jika anda memantau kos token, permintaan berulang dan kelajuan integrasi, inilah lapisan API hos di atas SDK sedia ada anda.

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.

Jawapan ringkas

Apakah NextModel?

NextModel ialah API hos serasi OpenAI untuk pembangun dan pasukan kecil yang mahu mengurus Fresh fallback, diskaun Exact cache dan resit telus sebelum kos 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 disokong · bukan kerjasama rasmi

anAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshotanAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshot

mengapa nextmodel

Satu gateway.
Pastikan belanja, dasar dan sumber sentiasa kelihatan.

Keluarkan pemilihan model, peraturan bajet, perbandingan sumber dan pelaporan usage daripada kod aplikasi. API kekal biasa manakala lapisan keputusan menjadi kelihatan kepada pasukan produk dan platform.

01 · one sdk

OpenAI SDK, banyak sumber model.

Sudah menggunakan OpenAI? Tukar base_url dan kekalkan chat completions, streaming, tools dan aliran kerja berorientasikan 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

Dasar sebelum trafik production.

Lakukan routing mengikut workload, sumber, bajet, latency atau capability berbanding menyelerakkan peraturan di seluruh servis.

03 · billing

Belanja mengikut key, projek dan pasukan.

Lihat laluan aplikasi mana yang memacu kos token dan jadikan pemilihan model satu keputusan operasi.

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

04 · price

Bandingkan jurang sebelum membuat panggilan.

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 peka bajet.

Bawa key anda sendiri, tetapkan had projek dan kekalkan jejak audit yang jelas untuk perbelanjaan model API.

42 model

dimensi dijejakproject · key · source

lapisan dasarbudgets · providers

mod SDKserasi dengan OpenAI

06 · regions

Domestik + global, satu endpoint.

Bandingkan sumber model Chinese dan global dari satu antara muka tanpa membayangkan kerjasama rasmi.

graf model langsung

42 model,
satu shortlist.

Satu endpoint untuk perbandingan model. Semak harga, anggaran latency, sumber penyedia dan kesesuaian workload sebelum anda 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.

Tadbir urus kos

Pastikan Fresh, cache dan resit kekal jelas sebelum perbelanjaan 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

Mula sekarang

Pick the model, then govern the spend.

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

Mula bina Lihat model