NextModel Romania · production gateway · compatibil OpenAI

All models.One API.

Controleaza costul AI API printr-un hosted API compatibil OpenAI pentru echipe din Romania. Miss-urile apeleaza upstream-ul real, replay-urile Exact cache verificate sunt facturate cu reducere, iar chitantele pastreaza cheltuiala vizibila fara sa rescrii integrarea SDK.

Get API KeyView pricingQuickstart
›prompt: "Alege un model pentru acest workload."
anclaude-sonnet-4-51.2s
cost: $0.00321
opgpt-4o-mini0.6s
cost: $0.00012
gogemini-2-5-flash0.5s
cost: $0.00008
dedeepseek-v30.9s
cost: $0.00037
Requests / sec42,891
Lowest input$0
Model sources125 / growing
Gateway statusOK

Pentru cine

Construit pentru dezvoltatori si echipe mici cu trafic API real.

Daca urmaresti costul pe token, cererile repetate si viteza de integrare, acesta este stratul de hosted API peste SDK-ul tau actual.

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.

Raspuns direct

Ce este NextModel?

NextModel este un hosted API compatibil OpenAI pentru dezvoltatori si echipe mici care vor sa gestioneze Fresh fallback, reducerile Exact cache si chitantele transparente inainte ca cheltuiala pe modele sa creasca.

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.

surse de modele acceptate · nu sunt parteneriate oficiale
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de ce nextmodel

Un gateway.
Pastreaza vizibile costurile, politicile si sursele.

Scoate alegerea modelului, regulile de buget, comparatia surselor si raportarea de utilizare din codul aplicatiei. API-ul ramane familiar, iar stratul de decizie devine vizibil pentru echipele de produs si platforma.

01 · one sdk

OpenAI SDK, many model sources.

Already using OpenAI? Change base_url, keep chat completions, streaming, tools, and JSON-oriented workflows.

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

Policies before production traffic.

Route by workload, source, budget, latency, or capability instead of scattering rules across services.

03 · billing

Spend by key, project, and team.

See which application paths drive token cost and turn model selection into an operational decision.

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

Compare the gap before calling.

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

Budget-aware model operations.

Bring your own keys, assign project limits, and keep a clear audit trail for model API spend.

42 models
tracked dimensionsproject · key · source
policy layerbudgets · providers
SDK modeOpenAI-compatible
06 · regions

Domestic + global, one endpoint.

Compare Chinese and global model sources from one interface without implying official provider partnership.

graf live al modelelor

125 modele,
o shortlist.

Un singur endpoint pentru compararea modelelor. Verifica pretul, latenta estimata, sursa providerului si potrivirea cu workload-ul inainte sa faci routing traficului de productie.

Dodoubao--doubao-...Dodoubao--doubao-...Dodoubao--doubao-...Dodoubao--doubao-...Dodoubao--doubao-...Dodoubao--doubao-...Drdreamina--dream...Drdreamina--dream...Drdreamina--dream...Gegemini--gemini-...
api.nextmodel.app

Start rapid

Trei pasi de la un SDK existent la control vizibil al costurilor.

PasCreeaza o cheie API

Emite o cheie pentru proiectul, mediul sau volumul de lucru pe care vrei sa il urmaresti.

Pasbase_url

Seteaza URL-ul de baza al SDK-ului OpenAI la https://api.nextmodel.app/v1.

PasIncepe sa apelezi modele

Foloseste un ID de model din catalog, apoi compara costul si calitatea rezultatului.

Guvernanta costului

Pastreaza vizibile Fresh, cache si chitantele inainte ca cheltuiala sa creasca.

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.

CTA documentatie

Copiaza o cerere functionala in Python, Node sau 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"}]
  }'

Benchmark nou

Inainte de a activa cache-ul, masoara daca reutilizarea este sigura.

CacheSafety Bench verifica rata de hit-uri sigure, rata de hit-uri gresite, esecurile capcanei semantice si economiile de costuri inainte ca echipele sa aiba incredere intr-un strat de cache.

CacheSafety Bench ajuta echipele sa compare rata de hit-uri sigure, rata de hit-uri gresite, esecurile capcanei semantice si economiile de costuri inainte de a avea incredere intr-un strat de cache in productie.

Exploreaza benchmark-ul

Incepe acum

Alege modelul, apoi guverneaza cheltuielile.

Deschide start rapid, copiaza o cerere si compara volumul tau real de lucru cu preturile Fresh si Exact cache.

Incepe sa construiestiVezi modele