Change base_url and compare providers without reworking the call shape.
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, hit-urile de cache upstream sunt facturate 1:1 la tariful cache oficial, iar chitantele pastreaza cheltuiala vizibila fara sa rescrii integrarea SDK.
›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 sources140 / growing
Gateway statusOK
Latest
New model · 2026-09-05
GPT-6 Astra is live on NextModel — 1M context, tiered pricing
Pricing · 2026-09-05
The 272K cliff, explained: GPT-6 Astra pricing with worked examples
Migration · 2026-09-05
Migrating from GPT-5.x to GPT-6 Astra: ids, Responses API, rollback
Community · 2026-09-06
What early testers are actually doing with GPT-6 Astra
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, upstream cache pricing passed through 1:1, 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.
See the difference between Fresh and cached pricing before traffic multiplies.
Every request's receipt is hashed, batch-anchored on-chain, and independently verifiable.
Raspuns direct
Ce este NextModel?
NextModel este un hosted API compatibil OpenAI pentru dezvoltatori si echipe mici care vor sa gestioneze Fresh fallback, reducerile upstream 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, upstream cache pass-through, and receipts.
surse de modele acceptate · nu sunt parteneriate oficiale
anAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshotanAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshot
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.
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
140 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.
Start rapid
Trei pasi de la un SDK existent la control vizibil al costurilor.
Emite o cheie pentru proiectul, mediul sau volumul de lucru pe care vrei sa il urmaresti.
Seteaza URL-ul de baza al SDK-ului OpenAI la https://api.nextmodel.app/v1.
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.
Understand which applications and environments are driving model spend.
See which requests hit the real upstream and which were served as idempotent replays.
Transparent workflows
- Send requests through one OpenAI-compatible interface.
- Misses call the real upstream model.
- Upstream prompt-cache hits are billed 1:1 at official cached rates.
- Use receipts and usage exports to reconcile what happened.
CTA documentatie
Copiaza o cerere functionala in Python, Node sau curl.
curl
curl https://api.nextmodel.app/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $NEXTMODEL_API_KEY" \
-d '{"model":"qwen/qwen3.7-max","messages":[{"role":"user","content":"Reply with OK."}]}'Python
# pip install openai
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["NEXTMODEL_API_KEY"],
base_url="https://api.nextmodel.app/v1",
)
resp = client.chat.completions.create(
model="qwen/qwen3.7-max",
messages=[{"role": "user", "content":"Reply with OK."}],
)
print(resp.choices[0].message.content)Node.js
// npm install openai
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.NEXTMODEL_API_KEY,
baseURL: "https://api.nextmodel.app/v1",
});
const resp = await client.chat.completions.create({
model: "qwen/qwen3.7-max",
messages: [{ role: "user", "content":"Reply with OK." }],
});
console.log(resp.choices[0].message.content);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-ulIncepe acum
Alege modelul, apoi guverneaza cheltuielile.
Deschide start rapid, copiaza o cerere si compara volumul tau real de lucru cu preturile Fresh si upstream cache.