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NextModel Iran · dergah production · sazgar ba OpenAI

All models.One API.

Hazine AI API ra ba yek hosted API sazgar ba OpenAI baraye team haye Iran kontrol konid. Misses be upstream vaghe'i miravand, replay haye taeed shode Exact cache ba تخفیف billing mishavand, va receipts bedune neveshtan dobare SDK integration did-e hazine ra hefz mikonand.

Get API KeyView pricingQuickstart
›prompt: "برای این workload یک model انتخاب کنید."
anclaude-sonnet-4-51.2s
هزینه: $0.00321
opgpt-4o-mini0.6s
هزینه: $0.00012
gogemini-2-5-flash0.5s
هزینه: $0.00008
dedeepseek-v30.9s
هزینه: $0.00037
Requests / sec42,891
Lowest input$0.112
Model sources42 / growing
Gateway statusOK

Baraye چه kasi ast

Baraye developerha va team haye koochaki sakhte shode ke traffic vaghe'i API darand.

Agar hazine token, darkhast haye tekrar shode va sor'at integration ra peygiri mikonid, in hosted API layer bala-ye SDK mojood-e shomast.

NextModel Fresh calls, Exact cache discounts va receipts ra dar yek laye control namayan bala-ye SDK jam mikonad. Be in shekl team mitavanad unit economics va billing facts ra bedune bazsazi dobare app roshan negah دارد.

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.

Pasokh mostaghim

NextModel chist?

NextModel yek hosted API sazgar ba OpenAI baraye developerha va team haye koochak ast ke mikhahand Fresh fallback, Exact cache discounts va receipts shafaf ra pish az bozorg shodan hazine modelha dar yek ja modiriat konand.

Team ha zamani az NextModel estefade mikonand ke yek hosted API sazgar mikhahand ama nemikhahand did-e billing facts ra az dast bedahand. In gateway shakl ashna-ye OpenAI SDK ra hefz mikonad va pricing context, exact cache reuse va receipts ra ezafe mikonad.

منابع model پشتیبانی‌شده · نه partnership رسمی
anAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshotanAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshot
چرا nextmodel

یک gateway.
spend، policyها و منابع را شفاف نگه دارید.

انتخاب model، قوانین بودجه، مقایسه منبع و گزارش usage را از کد application بیرون بیاورید. API آشنا می‌ماند، در حالی که لایه تصمیم برای تیم‌های product و platform شفاف می‌شود.

01 · one sdk

یک OpenAI SDK، منابع model فراوان.

اگر همین حالا از OpenAI استفاده می‌کنید، base_url را عوض کنید و chat completions، streaming، tools و workflowهای JSON-oriented را نگه دارید.

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

policyها پیش از ترافیک production.

به‌جای پخش کردن ruleها بین serviceها، بر اساس workload، source، budget، latency یا capability routing انجام دهید.

03 · billing

spend بر اساس key، project و team.

ببینید کدام مسیرهای application هزینه token ایجاد می‌کنند و انتخاب model را به یک تصمیم عملیاتی تبدیل کنید.

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

پیش از call فاصله را مقایسه کنید.

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

عملیات model با آگاهی از budget.

کلیدهای خودتان را بیاورید، محدودیت project تعریف کنید و برای spend مربوط به model API یک audit trail شفاف نگه دارید.

42 مدل
ابعاد رهگیریproject · key · source
لایه policybudgets · providers
حالت SDKOpenAI-compatible
06 · regions

داخلی + جهانی، یک endpoint.

منابع modelهای Chinese و global را از یک interface مقایسه کنید، بدون اینکه partnership رسمی provider را القا کنید.

گراف زنده modelها

42 مدل،
یک shortlist.

یک endpoint برای model comparison. پیش از routing ترافیک production، price، برآورد latency، source provider و تناسب workload را بررسی کنید.

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.

Modiriat hazine

Fresh, cache va receipts ra pish az afzayesh hazine namayan نگه داريد.

In haman laye-i ast ke developerha va team haye koochak vaghti volume darkhast va hazine ro be afzayesh miravad be an niaz darand.

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

Hala shoru kon

Pick the model, then govern the spend.

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

Shoru be sakhtMoshahede modelha