Overview
Auriko is a unified API platform that lets you switch between LLM models from multiple providers—including OpenAI, Anthropic, Google AI Studio, xAI, Fireworks AI, Together AI, DeepSeek, DeepInfra, MiniMax, Moonshot AI, Z.AI, and SiliconFlow—through a single endpoint. It reduces inference costs by routing requests to the cheapest provider based on real-time pricing and prompt-caching mechanics. Users access a "Trading Desk for AI Inference" that optimizes for cost, latency, throughput, or custom objectives. The platform also provides predictive signals, automatic failover, and capacity intelligence to keep production workloads reliable.
Application scenarios
Cost-sensitive production deployments
Route requests to the lowest-cost provider per request while maintaining performance constraints.
Multi-model experimentation
Test and compare models from different providers without managing separate API keys or integrations.
Latency-critical applications
Optimize for time-to-first-token (TTFT) or throughput with configurable constraints like P95 TPS.
Global edge deployment
Serve inference requests through a distributed edge network for low-latency responses worldwide.
Redundancy and failover
Automatically fall back to alternative providers if the primary provider fails, ensuring continuous uptime.
Budget-controlled teams
Set spending limits and alerts at workspace or API key level to keep costs under control.
Core features
Unified API
Access every model and provider through one OpenAI-compatible drop-in endpoint, preserving provider-specific features.
Deep cost optimization
Model how your workload interacts with each provider's pricing and prompt-caching mechanics, then route to the lowest-cost provider per request.
Predictive signals
Use real-time signals on provider performance, health, cache behavior, and your usage patterns to drive cost-optimized routing and performance tuning.
Routing strategies
Use built-in defaults or define custom strategies optimized for cost, latency, throughput, or your own objective—with constraints like TTFT, P95 TPS, input cost, and data policy (e.g., ZDR).
Global deployment
Route through a globally distributed edge network with state-of-the-art latency optimization.
Automatic failover
Deliver continuous uptime by backing every request with redundancy across providers.
Key orchestration
Use your own API keys (BYOK), platform keys, or both; maximize key utilization with Auriko's orchestration engine.
Capacity intelligence
Run inference with capacity awareness across providers and keys, and access Auriko's global capacity reserve for on-demand capacity.
Target users
Auriko is built for engineering teams and AI product managers who need to manage inference costs across multiple LLM providers without sacrificing reliability or performance. It's ideal for developers integrating LLMs into production applications, operations teams setting budget controls and failover policies, and researchers experimenting with different models and routing strategies.
How to use
Sign up at auriko.ai, get your API key, and change a few lines of code in your existing OpenAI-compatible client. For example, set base_url to https://api.auriko.ai/v1 and pass your Auriko API key. Optionally, add routing parameters (like optimize: "cost-focus" or max_ttft_ms: 800 ) in the extra_body of your request. The platform supports Python, TypeScript, and cURL. For detailed setup, read the documentation or request a demo.
Effect review
Auriko's feature set is practical and well-suited for teams that need to optimize LLM inference costs without sacrificing performance. The deep cost optimization that models prompt-caching mechanics and real-time provider health is a standout capability—it goes beyond simple price comparison. The unified API with OpenAI compatibility makes migration straightforward, and the automatic failover and capacity intelligence add production-grade reliability. While the website lacks user testimonials or quality benchmarks, the transparent budget controls and routing strategy options suggest a tool built for real-world operational needs. For teams managing multiple LLM providers at scale, Auriko offers a compelling layer of cost and performance management.
Frequently asked questions
What is Auriko?
Auriko is a unified API that lets you switch between LLM models from different providers, reducing inference costs with zero markup and quant-trading grade optimization for faster and cheaper performance.
How does Auriko reduce inference costs?
Auriko applies zero markup pricing and quant-trading grade optimization to minimize latency and cost, allowing you to access multiple LLM models without extra fees.
Which LLM providers does Auriko support?
Auriko supports a variety of LLM providers through a single API, though the specific list may be available on their website or documentation.
Is Auriko easy to integrate?
Yes, Auriko provides a single API endpoint, making integration straightforward for developers to switch between models without changing code infrastructure.
Does Auriko offer a free trial?
Pricing details, including any free trial options, should be checked on the Auriko website, but the service emphasizes zero markup and cost efficiency.
Launch URL
https://www.auriko.ai/Tags
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