Change base_url and compare providers without reworking the call shape.
NextModel Turkiye · production gateway · OpenAI uyumlu
All models.One API.
AI API maliyetini Turkiye'deki ekipler icin tek bir OpenAI uyumlu hosted API ile yonetin. Misses gercek upstream'i cagirir, upstream prompt-cache isabetleri resmi cache fiyatindan 1:1 faturalandirilir ve makbuzlar SDK entegrasyonunu yeniden yazmadan maliyeti gorunur tutar.
›prompt: "Bu workload icin bir model secin."
anclaude-sonnet-4-51.2s
maliyet: $0.00321
opgpt-4o-mini0.6s
maliyet: $0.00012
gogemini-2-5-flash0.5s
maliyet: $0.00008
dedeepseek-v30.9s
maliyet: $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
Kimler icin
Gercek API trafigi olan gelistiriciler ve kucuk ekipler icin tasarlandi.
Token maliyetini, tekrar eden istekleri ve entegrasyon hizini izliyorsaniz bu, mevcut SDK'nizin ustundeki hosted API katmanidir.
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.
Dogrudan yanit
NextModel nedir?
NextModel; model maliyeti buyumeden once Fresh fallback, upstream cache ucretlerinin 1:1 aktarilmasi ve seffaf makbuzlari tek yerde yonetmek isteyen gelistiriciler ve kucuk ekipler icin OpenAI uyumlu bir hosted API'dir.
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.
desteklenen model kaynaklari · resmi ortakliklar degildir
anAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshotanAnthropicopOpenAIgoGooglevoVolcenginealAlibaba ClouddeDeepSeekopOpenRoutermoMoonshot
neden nextmodel
Tek bir gateway.
Harcamayi, politikalari ve kaynaklari gorunur tutun.
Model secimini, butce kurallarini, kaynak karsilastirmasini ve kullanim raporlamasini uygulama kodunun disina alin. API tanidik kalir, karar katmani ise urun ve platform ekipleri icin gorunur hale gelir.
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.
canli model grafigi
140 model,
tek bir shortlist.
Model karsilastirmasi icin tek bir endpoint. Uretim trafigini route etmeden once fiyat, tahmini gecikme, provider kaynagi ve workload uyumunu inceleyin.
Hizli baslangic
Mevcut bir SDK'dan gorunur maliyet kontrolune uc adim.
Izlemek istediginiz proje, ortam veya is yuku icin bir anahtar yayinlayin.
OpenAI SDK taban URL'sini https://api.nextmodel.app/v1 olarak ayarlayin.
Katalogdan bir model kimligi kullanin, ardindan maliyeti ve cikti kalitesini karsilastirin.
Maliyet yonetisimi
Harcamalar buyumeden once Fresh, cache ve makbuzlari gorunur tutun.
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.
Dokuman CTA
Python, Node veya curl ile calisan bir istegi kopyalayin.
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);Yeni benchmark
Onbellegi etkinlestirmeden once, yeniden kullanimin guvenli olup olmadigini olcun.
CacheSafety Bench, ekipler bir onbellek katmanina guvenmeden once guvenli isabet oranini, kotu isabet oranini, anlamsal tuzak hatalarini ve maliyet tasarruflarini kontrol eder.
CacheSafety Bench, ekiplerin uretimde bir onbellek katmanina guvenmeden once guvenli isabet oranini, kotu isabet oranini, anlamsal tuzak hatalarini ve maliyet tasarruflarini karsilastirmasina yardimci olur.
Benchmark'i kesfetSimdi baslayin
Modeli secin, ardindan harcamayi yonetin.
Hizli baslangici acin, bir istegi kopyalayin ve gercek is yukunuzu Fresh ve upstream cache fiyatlariyla karsilastirin.