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Auriko

Route every LLM call to the cheapest provider automatically

Quick answer

Auriko — Route every LLM call to the cheapest provider automatically. It's freemium. Best for high-volume production LLM workloads seeking automatic cost reduction.

Auriko is an LLM cost-arbitrage gateway that dynamically routes API calls to the lowest-cost inference provider in real time, with zero markup on underlying provider prices. Built by ex-quantitative traders who applied financial arbitrage thinking to AI infrastructure, Auriko connects developers and engineering teams to 12 or more providers including OpenAI, Anthropic, Google, xAI, Fireworks, Together AI, DeepSeek, MiniMax, Moonshot, Z.AI, and SiliconFlow through a single OpenAI-compatible API endpoint. Before routing each request, the platform evaluates live token costs, cache behavior, latency, and reliability signals to pick the optimal provider for that specific call. A published benchmark supports an average savings claim of around 30% compared to routing all traffic through a single provider. Auriko is best suited for developers, AI teams, and companies running high-volume LLM workloads who want automatic cost optimization without rewriting existing integrations or managing multiple provider accounts manually.

Key features

  • Single OpenAI-compatible API endpoint spanning 12 or more LLM providers
  • Real-time routing engine that evaluates token cost, cache behavior, latency, and reliability per request
  • Zero markup pricing so developers pay the underlying provider rate directly
  • Published benchmark data supporting approximately 30% average cost savings

Pros & cons

PROS

  • +Zero markup means you pay actual provider prices with no additional per-token surcharge
  • +Drop-in OpenAI-compatible API requires minimal code changes to existing integrations
  • +Covers a wide range of top-tier providers giving genuine routing flexibility

CONS

  • Platform or subscription fee structure is not publicly confirmed, making total cost planning uncertain
  • Relies on third-party provider availability so outages at underlying providers can affect routing options

Pricing

Free tier

No markup, pay provider rates only

Paid from

Pricing on request

Enterprise

Pricing on request

Who is it for

  • High-volume production LLM workloads seeking automatic cost reduction
  • Teams migrating from a single provider who want multi-provider redundancy without code changes
  • Startups and enterprises optimizing AI infrastructure spend across multiple model vendors

Frequently asked questions

Is Auriko free?

Auriko charges no markup on top of provider prices, meaning you pay the underlying model provider rate directly. Whether there is a platform subscription fee is not publicly confirmed, so you should contact Auriko for a full pricing breakdown before committing.

What is Auriko best used for?

Auriko is best used for high-volume LLM API workloads where cost optimization matters. It suits developers and teams who already use OpenAI-compatible APIs and want automatic routing to the cheapest available provider without manually managing multiple accounts.

What are the best alternatives to Auriko?

The closest alternatives are OpenRouter, which also provides a unified API across multiple LLM providers, and Together AI, which offers competitive inference pricing on open-source models. Other options include direct integration with individual providers or using LiteLLM as a self-hosted routing layer.

Is Auriko safe to use?

Auriko was built by ex-quantitative traders with a focus on reliability signals as part of its routing logic. However, as with any third-party API gateway, all your LLM traffic passes through their infrastructure, so you should review their data handling and security policies before routing sensitive workloads.

How much does Auriko cost?

Auriko applies zero markup, so you pay the published rate of whichever inference provider handles your request. Any platform fee or subscription cost on top of provider rates is not publicly listed and should be confirmed directly with the Auriko team.

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