OpenRouter
enterprise tier · drop-in
“Drop-in OpenAI-compatible endpoint with verifiable, no-log routing. The receipt is the audit trail.”
18B+ tokens
no-log · verified routing
Gizli Inference
OpenAI uyumlu. İmzalı makbuzlar. Tasarımı gereği kayıt yok.
Private LLM catalog
OpenAI-compatible models with hardware-backed privacy and ACI verification. Keep your SDK flow, change the endpoint, and copy the real call when you need it.
DeepSeek: DeepSeek V4.1 Flash 1017
Beta
1.0M bağlam
$0.75/M input
$1.60/M output
$0.15/M cache read
Phala: Qwen3.8 27B Uncensored (Aggressive)
262K bağlam
$0.30/M input
$1.50/M output
$0.05/M cache read
Z.ai: GLM 5.3 Flash
Beta
1.0M bağlam
$0.15/M input
$0.50/M output
$0.03/M cache read
Qwen: Qwen3.8 27B
Beta
1M bağlam
$0.20/M input
$2.50/M output
$0.05/M cache read
DeepSeek: DeepSeek V4 Flash 0731
1.0M bağlam
$0.44/M input
$1.32/M output
$0.028/M cache read
MoonshotAI: Kimi K3
1.0M bağlam
$3.00/M input
$15.00/M output
$0.30/M cache read
Qwen: Qwen3.6 27B
262K bağlam
$0.32/M input
$3.25/M output
$0.03/M cache read
Qwen: Qwen3 32B
41K bağlam
$0.12/M input
$0.50/M output
$0.052/M cache read
Google: Gemma 4 31B
262K bağlam
$0.15/M input
$0.46/M output
$0.075/M cache read
What you say to the model stays between your client and an attested CVM. Three primitives — encryption, TEE, no-logs — make that a property of the build, not a promise.
Hangi garantinin kaybolduğunu birebir görmek için dstack’i kapatın.
ACI gateway attestation, signed receipts, and verified upstream model sessions
Client SDK fetches the gateway’s TDX quote with a fresh nonce and runs dcap-qvl locally — when the caller pins accepted compose hashes, it confirms the measured release is one of them. The trust decision is client-side; Phala is not asked to vouch for itself.
cURL · tak-çalıştır
Hit inference.phala.com/v1/chat/completions with the OpenAI request shape. Receipt headers come back on every response — even from curl.
OpenAI Python SDK
`base_url="https://inference.phala.com/v1"` and you’re done. Existing code keeps working; capture x-receipt-id from the raw response when you need proof.
Tek birleşik doğrulayıcı
Every route returns the same ACI artifacts: a gateway attestation report, a signed receipt, and an attested-session reference for the serving upstream.
Live on OpenRouter
Phala serves confidential models as a provider on OpenRouter. The daily token count comes from OpenRouter’s public Phala provider page.
two-hop RA-TLS · TLS key bound to TDX quote
tunneled · no plaintext intermediary
hop 01 · client → gateway
hop 02 · gateway → model CVM
The first TLS hop terminates inside the gateway CVM, whose TLS key is bound to its TDX quote. For Phala-hosted models, the second terminates inside the model CVM, whose TLS key is bound to its own quote. Other providers bind the second hop to keys from their own evidence. There is no plaintext intermediary on the host.
response · /v1/chat/completions
200Every response carries x-receipt-id. Fetch the ACI receipt, verify its signature and response hash against a fresh gateway attestation, then follow upstream.verified.session_id when you need deeper audit evidence.
in production today · 3 live partners
OpenRouter routes its enterprise tier through Phala. NEAR AI ships verifiable agent inference. OODA AI runs decentralized GPU TEE.
enterprise tier · drop-in
“Drop-in OpenAI-compatible endpoint with verifiable, no-log routing. The receipt is the audit trail.”
18B+ tokens
no-log · verified routing
verifiable agent inference
“Verifiable agent inference for autonomous, on-chain workflows. Every model call lands on-chain with proof.”
100% receipts
on-chain verified · zk inference
NASDAQ-listed · decentralized GPUs
“Decentralized GPUs with hardware attestation guarantees. No host root, no off-band access, no policy promises.”
12M tokens / day
TDX + H100 · hardware-attested
OpenAI-compatible
drop-in /v1 surface
TDX + H100/H200/B300
CPU + GPU TEE
5–15% overhead
vs bare-metal
No host root
compose-hash IS the policy
Yapay zeka çözüm yolları
Özel model uç noktası ilk giriş noktasıdır. Aynı gizlilik ilkesi ajanlara, veri iş akışlarına ve eğitime de genişler.
Ajanları, görülebilir bir otomasyon bulutu yerine anahtarlar, araçlar, bellek ve eylemlerle birlikte doğrulanmış bir çalışma zamanında çalıştırın.
Veri kümelerini, gradyanları, checkpoint’leri ve değerlendirme izlerini sınırın içinde tutarken tescilli veriler üzerinde modelleri uyarlayın.
private training run
01
sealed
02
running
03
private
04
verified
loss curve
proof attached
attestation.json
Modelleri hassas kayıtlara taşıyın ve ham veriyi model operatörüne açmadan onaylı çıktılar döndürün.
source
EHR data
source
Customer records
source
Internal docs
TEE clean room
approved output
Deploy private inference
Drop in with the OpenAI SDK you already use. Point at inference.phala.com and capture x-receipt-id for the signed ACI receipt.