Vurio Gateway · Unified AI Model Gateway

Same models, smaller bill.

One OpenAI-compatible API for 600+ models — with 95% cache hit rates and bulk discounts stacked on top, the same calls cost about 50% less.

95%

Cache hit rate

−50%

Average bill cut

70% off

vs. list price

600+

Models available

# One-line integration · OpenAI-compatible endpoint curl https://api.vurio.ai/v1/chat/completions \ -H "Authorization: Bearer sk-vur-***" \ -H "Content-Type: application/json" \ -d '{ "model": "claude-opus-5", "messages": [ { "role": "user", "content": "Hello, Vurio" } ] }'

Saving without downgrading the model
comes down to two things.

Same first-party models, same output — you just stop paying full price for repeated tokens, with a bulk discount on top.

01 · Cache

Repeated context, almost never paid for twice

Repeated tokens bill at cache price — as low as ~1/10 of list, ~95% hit rate, passed through with no markup.

02 · Discount

On top of list price, one more bulk discount

Account pools and volume buy below list — from 30% of list, cheaper at scale. A standing price, not a promo.

Define your AI API aggregation layer

Models, cost, keys, monitoring and failover — one gateway for every AI call your team makes, through a single OpenAI-compatible API.

Model independence

OpenAI Claude Gemini Vurio best routing

Sovereign access

OpenAI-compatible
Migrate existing SDKs in one line — just change base_url
✓
Native Claude Messages
Direct /v1/messages · Claude Code
✓
Unified billing
All model families share one credit balance
✓
Provider routing
Auto-dispatch across providers by health
✓
Dedicated support
Docs, top-ups and support in one flow
✓

Covers the full API call lifecycle

Let Vurio handle the complexity.

One API, smart routing, real-time monitoring and fine-grained billing — everything you need to build and scale AI apps faster.

One OpenAI-compatible
interface

The full set of /v1/chat/completions, /v1/embeddings, /v1/images and /v1/videos endpoints. Zero code changes — swap models by changing the model string.

from openai import OpenAI

client = OpenAI(
  base_url="https://api.vurio.ai/v1",
  api_key="sk-vur-••••",
)

resp = client.chat.completions.create(
  model="claude-opus-5",   # change this one line
  messages=[
    {"role": "user",
     "content": "Hello, Vurio"},
  ],
)

→ 200 OK · 824ms · claude-opus-5

Multi-region active-active · failover in seconds

7 edge nodes route to the nearest automatically, with primary/backup channels failing over in < 200ms. When one vendor goes down, your workload keeps running unnoticed.

Uptime · 90 daysAll nodes healthy

99.9%

Primary/backup failover in < 200ms

Token-level billing · below list price

From 30% of list price, with cache-hit pricing passed straight through. Split by model / user / project, token-level detail exportable to CSV.

This monthUSD

$500Save 50%

Model usage$400

Cache pass-through · 0 markup$70

Gateway fee$30

Key isolation · IP allowlist · rate control

The master key is visible only in the console. Sub-keys bind IP, Referer and path allowlists with independent rate limits. Audit logs are tamper-proof.

API Key · sub-keyActive

sk-vur-••••••••••••4f2aCopy

IP allowlistOn

Rate 60 req/sOn

Monthly hard cap $500On

— Model pricing

List prices shown transparently,
lower still after a cache hit.

View full catalog →

Prices below are vendors’ public list rates. Cached input settles as low as ~30% of list, reflected directly on your bill; domestic models bill in their original currency.

OpenAI Live

gpt-5

Input / 1M$1.25

Output / 1M$10.00

Context400K

Anthropic Live

claude-opus-5

Input / 1M$5.00

Output / 1M$25.00

Context200K

Anthropic Live

claude-sonnet-5

Input / 1M$1.00

Output / 1M$5.00

Context200K

Google Live

gemini-2.5-pro

Input / 1M$1.10

Output / 1M$4.40

Context2M

DeepSeek · China Live

deepseek-v3.1

Input / 1M$0.14

Output / 1M$0.28

Context128K

Alibaba Qwen · China Live

qwen3-max

Input / 1M$0.40

Output / 1M$1.20

Context262K

Moonshot · China Live

kimi-k2

Input / 1M$0.55

Output / 1M$2.20

Context256K

Zhipu · China Live

glm-4.6

Input / 1M$0.29

Output / 1M$0.86

Context200K

A few things you may want to settle before you integrate.

The input you resend every time — system prompts, long context, RAG prefixes — settles at cache price once it hits the upstream native prompt cache, as low as ~1/10 of list. We pass that discount straight through and take no cut on caching. Caching only applies to repeated prefixes on the input side and does not change the model’s actual reasoning or output — quality matches a direct connection. Current average cache hit rate is about 95%; the proxy layer is zero-buffer with full SSE pipe, adding < 15ms of latency.

The savings come from two sources: (1) cache-hit pass-through — see above; (2) below-list purchasing cost via account pools and volume commitments, with the discounted rate going straight to your bill. We never tamper with token pricing — the unit price, whether the cache hit, and the final cost of every call can be reconciled line by line in the console. From 30% of list price, cheaper the more you use.

By default we keep only trace metadata (timestamp, model, token count, status code) for 30 days for billing and troubleshooting — we never persist request/response bodies. The Team plan can enable a “zero-log” mode. We will never train models on your data, nor resell it to third parties.

Whatever currency the vendor uses is what you’re billed in: DeepSeek/Qwen at the vendor’s USD or RMB list price, ByteDance Doubao/Kling/Wan in RMB. Both currencies are listed separately on the bill, and the console can merge them for display (at that day’s Bank of China rate).

The same model is wired to multiple upstream channels — the vendor’s official API plus AWS Bedrock, Google Vertex AI, Claude Code and more. When one channel errors or its 5xx rate crosses a threshold, the routing layer switches to another channel of the same model in milliseconds — your app never notices, and there’s no downgrade involved. Every switch is tagged in the trace so you can audit it afterward.

The Team plan and above support single-tenant deployment (AWS / GCP / Azure / Alibaba Cloud / Tencent Cloud). The control plane stays with us, the data plane runs inside your VPC, model requests go direct to the vendor from your egress, and Vurio only makes routing decisions and aggregates billing — never touching any payload.

No. Once the $2 is used up, all keys are throttled to 0 and you have to top up to continue. We don’t do “use now, pay later” — no waking up to a surprise bill at midnight.

Same models, smaller bill.

Saving without downgrading the modelcomes down to two things.

Repeated context, almost never paid for twice

On top of list price, one more bulk discount

Define your AI API aggregation layer

Model independence

Sovereign access

Covers the full API call lifecycle

Let Vurio handle the complexity.

One OpenAI-compatibleinterface

Multi-region active-active · failover in seconds

Token-level billing · below list price

Key isolation · IP allowlist · rate control

List prices shown transparently,lower still after a cache hit.

A few things you may want to settle before you integrate.

Live in two minutes.

Saving without downgrading the model
comes down to two things.

One OpenAI-compatible
interface

List prices shown transparently,
lower still after a cache hit.