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Cache-first gateway · one endpoint

One API for 600+ AI models

Same first-party models, about 50% smaller bill — 95% cache hit rates plus bulk discounts, behind one OpenAI-compatible endpoint. Works with all popular agents.

Live in two minutes

1Copy the base URL
https://api.nuoda.vip/v1
POST /chat/completions
2Create your key

Sign up, open the dashboard and mint a key — it looks like sk-vur-••••. $2 trial credit included, no card required.

3Point your SDK at it

Swap base_url in your existing OpenAI or Anthropic setup. No other code changes — every agent that speaks the OpenAI schema just works.

Browse all supported models →

600+ Frontier Models · Growing

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Trusted by Enterprises

Stripe Notion Slack Figma Linear Vercel Shopify Airtable Stripe Notion Slack Figma Linear Vercel Shopify Airtable
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.

Cache-first infrastructure: repeated tokens settle at cache price, passed through with no markup.

Same Models, Smaller Bill

95%
Cache Hit Rate
−50%
Average Bill Cut
600+
AI Models
99.9%
Uptime

Everything you need to ship — and to keep the bill auditable.

Feature Packed

🧮

Per-call billing you can audit

Every request shows its unit price, whether the cache hit, and the final cost — reconcile the bill line by line in the console.

2026-09-03 14:02:11 claude-opus-5 cache-hit 12,840 tok $0.0106
2026-09-03 14:02:09 gpt-5 cache-hit 8,402 tok $0.0071
2026-09-03 14:02:04 gemini-2.5-pro miss 3,118 tok $0.0094
2026-09-03 14:01:58 deepseek-v3.1 cache-hit 21,067 tok $0.0032
This month · model usage $400 · cache pass-through $70 · gateway $30 → total $500 (vs $1,000 direct)
⚙️

Simple Integration

Change the endpoint in your existing setup and you're done.
OpenAI & Anthropic compatible.

from openai import OpenAI

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

response = client.chat.completions.create(
  model="claude-opus-5",   # switch models by changing this line
  messages=[
    {"role": "user", "content": "Hello, Vurio"},
  ],
)

print(response.choices[0].message.content)
# → 200 OK · 824ms · billed at cache price
🛡️

Multi-channel failover

The same model wired to multiple upstream channels — official API, AWS Bedrock, Google Vertex AI and more. Errors reroute in milliseconds, same model, no downgrade.

official
92%
bedrock
6%
vertex
2%

every switch is tagged in the trace — audit it afterward

No Plans. Just
Pay-As-You-Go

Billed per call, from 30% of list price.
Cache hits get cheaper automatically. No monthly fee, no lock-in.

MOST POPULAR

Pay As You Go

$0 /month
Start free →

Best for:

  • Production projects
  • Fast iteration & scaling
  • Startups & indie devs

What is included:

  • Access to all 600+ models
  • From 30% of list price, cheaper at scale
  • Cache pass-through — no markup on hits
  • $2 trial credit, no card required
  • No rate ceiling — throughput scales with usage
  • Crypto payments available

Enterprise

Custom pricing
Contact us →

Best for:

  • High-volume production workloads
  • Custom infrastructure
  • Enterprise & regulated use

What is included:

  • Single-tenant deployment (data plane in your VPC)
  • Volume pricing below standard rates
  • Unlimited RPM & TPM
  • IP allowlists, hard budgets, key controls
  • Dedicated support channel

Questions, answered

How does caching save me money? Does it affect output quality?

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.

How can you be cheaper than the vendor? Are there hidden markups?

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.

Are request and response data logged or used for training?

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 Enterprise plan can enable a "zero-log" mode. We will never train models on your data, nor resell it to third parties.

How are domestic models (DeepSeek / Qwen / Kling, etc.) billed? Is it in RMB?

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).

If a vendor suddenly goes down, what can Vurio do?

The same model is wired to multiple upstream channels — the vendor's official API plus AWS Bedrock, Google Vertex AI 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.

Do you support private deployment? Can it run inside our own VPC?

The Enterprise plan supports 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.

After the trial credit runs out, will I be charged automatically?

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.

Every token, better spent

Top up now and every call runs at a lower cost. Your USD balance stays in your account — spend it as you go.

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$2 trial credit included · no credit card to start