# Auriko vs LiteLLM Auriko records 333 monthly visits with -74.3% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. LiteLLM records 576,967 monthly visits with +7.9% growth and Freemium, Contact for Pricing pricing. | Metric | [Auriko](https://openaitools.app/tool/auriko) | [LiteLLM](https://openaitools.app/tool/litellm) | | :--- | :--- | :--- | | Website URL | https://www.auriko.ai | https://litellm.ai | | Categories | AI API, Large Language Models (LLMs), AI Developer Tools, AI Models | AI API, Large Language Models (LLMs), AI Developer Tools, Open Source AI Models | | Pricing Model | Freemium, Free Trial, Contact for Pricing | Freemium, Contact for Pricing | | Monthly Visits | 333 | 576,967 | | MoM Growth Rate | -74.3% | +7.9% | | Primary Market | Taiwan | United States | | Direct Visits | 139 | 228,967 | | Review Score | 4.2 | 4.8 | | Saved Count | 0 | 5 | | Supported Platforms | Website | Website | ## Auriko Auriko positions itself as a control plane for AI inference rather than just a proxy. You keep your existing SDK code and change only the base URL and key, and the platform then handles unified model access, schema-preserving pass-through of provider-specific features, automatic failover and globally distributed edge routing for lower latency and higher throughput. The differentiating part is the routing engine. Instead of comparing headline token prices, Auriko models how a given workload interacts with each provider's pricing tiers and prompt-caching mechanics, then routes each request to the provider that is actually cheapest for that traffic pattern. You can express explicit objectives such as a maximum time-to-first-token, a throughput floor, a per-million input cost ceiling, zero-data-retention providers only, or structured-output-only endpoints with fallback enabled. Operationally the platform also covers key orchestration (bring your own keys, platform keys, or both), capacity awareness, workspace- and key-level budget limits with alerts, SSO/SAML, and invoice-style billing for teams. It is currently in private beta, with self-hosting providers able to list their own inference capacity and set their own price. **Pricing & Plans:** Auriko advertises zero-markup access to underlying model providers, with a freemium entry point and a free trial. Team and enterprise tiers are quoted on request. Exact plan prices are not published publicly, so check the site for current figures. - **Unified OpenAI-compatible API:** Access OpenAI, Anthropic, Google, DeepSeek, and many other providers through one drop-in endpoint while preserving provider-specific capabilities. - **Cache-aware cost routing:** Model how your workload interacts with each provider's pricing and prompt-caching mechanics to route each request to the lowest-cost provider. - **Objective-based routing strategies:** Optimize for cost, latency, throughput or custom goals, with constraints such as P95 TPS floors, input cost ceilings, ZDR-only providers and structured-output-only routing. - **Automatic failover and edge network:** Redundant provider backing plus a globally distributed edge network keeps requests flowing and reduces time to first token. - **Key orchestration and budget controls:** Use your own keys, platform keys or both, with capacity awareness, spending limits and alerts at workspace or API key level. **Strengths:** Single OpenAI-compatible endpoint across a large set of providers; Routing decisions based on real pricing and cache mechanics, not headline token prices; Fine-grained objectives and constraints for cost, latency, throughput and data policy; Built-in budget controls, key orchestration and B2B features such as SSO/SAML and invoicing **Limitations:** Still in private beta, so availability and roadmap may change; Pricing for paid tiers is not published, requiring a demo or contact step; The value depends on having enough multi-provider traffic to make routing matter [Profile (Markdown)](https://openaitools.app/tool/auriko.md) ## LiteLLM LiteLLM is an open-source AI gateway and Python SDK designed to remove vendor lock-in from LLM applications. The SDK lets you call models from OpenAI, Anthropic, Google Vertex AI, Bedrock, Mistral, Azure and dozens of other providers using the same OpenAI-style request format, so switching models is a configuration change rather than a code rewrite. The same project ships an AI Gateway (often called the proxy) that turns that abstraction into a shared service for an entire organization. That gateway is where most platform teams find the value. It issues virtual keys scoped by team, project or application, tracks spend per key against budgets, applies rate limits (TPM and RPM), and exposes dashboards for request volume, token usage and cost per model. Routing features include load balancing across deployments, automatic fallbacks when a provider fails, retries and budget-based rerouting, plus guardrails for PII masking, prompt-injection detection and secret detection. The project is genuinely open source with the code on GitHub (BerriAI/litellm) and a very active community. Enterprise features add SSO, audit logs, and support for agents and MCP servers through the same gateway. Notably, LiteLLM supports day-zero access to new models so teams can adopt them as soon as they ship, and it can also serve self-hosted, fine-tuned and internal models behind the same key. Companies cited on the site include NVIDIA, Netflix, Okta, Lemonade and AT&T. **Pricing & Plans:** Freemium and open source. The self-hosted LiteLLM gateway and SDK are free under an open-source licence, and a free tier lets you get started immediately. Enterprise plans with SSO, audit logs, SLAs and advanced support are quoted on request via the sales team. - **OpenAI-compatible API for 100+ LLMs:** Call 100+ providers and 1,800+ models using one request format, so you can swap models without changing application code. - **Virtual keys, teams and budgets:** Issue scoped keys per team, project or app, set monthly spend caps and see exactly who is driving usage and cost. - **Routing, load balancing and fallbacks:** Distribute traffic across deployments, retry on failure and automatically fall back to another model or provider when one goes down. - **Observability and spend tracking:** Dashboards for request volume, tokens and cost per model, with support for logging and analytics integrations. - **Guardrails and policy controls:** Plug in PII masking, prompt-injection detection and secret-detection guardrails, and manage policies centrally instead of in every app. **Strengths:** Truly open source with a large GitHub community and self-hosting option; Very broad provider coverage with an OpenAI-compatible interface; Enterprise-grade controls: virtual keys, budgets, rate limits and audit logs; Day-zero support for new models and easy fallback when providers fail **Limitations:** Self-hosting means you own deployment, upgrades and uptime; Feature depth varies between the free open-source version and enterprise plan; The breadth of configuration options can be overwhelming for small projects [Profile (Markdown)](https://openaitools.app/tool/litellm.md) ## Frequently Asked Questions ### How do Auriko and LiteLLM compare in monthly traffic? Auriko has 333 monthly visits, while LiteLLM has 576,967. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Auriko has a month-over-month growth rate of -74.3%; LiteLLM has +7.9%. ### How does pricing compare? Auriko: Freemium, Free Trial, Contact for Pricing. Auriko advertises zero-markup access to underlying model providers, with a freemium entry point and a free trial. Team and enterprise tiers are quoted on request. Exact plan prices are not published publicly, so check the site for current figures. LiteLLM: Freemium, Contact for Pricing. Freemium and open source. The self-hosted LiteLLM gateway and SDK are free under an open-source licence, and a free tier lets you get started immediately. Enterprise plans with SSO, audit logs, SLAs and advanced support are quoted on request via the sales team. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [OpenRouter](https://openaitools.app/tool/openrouter-ai) | 19,941,437 | -6.2% | Paid | Provides a massive hosted model catalog with instant access, but requires trusting a third-party platform instead of self-hosting. | [.md](https://openaitools.app/tool/openrouter-ai.md) | | 2 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Hosts high-performance open-weight models directly on dedicated serverless infrastructure, but does not route across external providers. | [.md](https://openaitools.app/tool/together-ai.md) | | 3 | [OrcaRouter](https://openaitools.app/tool/orcarouter) | 975,300 | -5.2% | Freemium | Delivers automated model failover and budget governance through an API gateway, but with less open-source customization. | [.md](https://openaitools.app/tool/orcarouter.md) | | 4 | [ZenMux](https://openaitools.app/tool/zenmux) | 444,394 | +16.7% | Freemium, Paid | Unified LLM gateway with failover and analytics, but offers less robust open-source developer SDK support. | [.md](https://openaitools.app/tool/zenmux.md) | | 5 | [AiHubMix](https://openaitools.app/tool/aihubmix) | 238,455 | -16.1% | Contact for Pricing | One API key for hundreds of AI models | [.md](https://openaitools.app/tool/aihubmix.md) | | 6 | [Portkey](https://openaitools.app/tool/portkey-ai) | 195,650 | -9.4% | Freemium, Paid, Contact for Pricing | Offers advanced enterprise observability and guardrail tools, but lacks LiteLLM's lightweight self-hosted proxy simplicity. | [.md](https://openaitools.app/tool/portkey-ai.md) | | 7 | [Eden AI](https://openaitools.app/tool/eden-ai) | 173,828 | +6.5% | Paid, Contact for Pricing | Provides managed multi-provider AI routing and cost tracking, but lacks the native open-source flexibility of LiteLLM. | [.md](https://openaitools.app/tool/eden-ai.md) | | 8 | [LLM Gateway](https://openaitools.app/tool/llm-gateway) | 168,426 | -14.5% | Freemium, Contact for Pricing | An open-source alternative for unifying LLM providers, but features a less extensive ecosystem of middleware integrations. | [.md](https://openaitools.app/tool/llm-gateway.md) | | 9 | [Respan](https://openaitools.app/tool/respan) | 91,503 | -14.5% | Freemium | Open-source request routing with built-in evaluations, but has a smaller community and fewer pre-built provider connectors. | [.md](https://openaitools.app/tool/respan.md) | | 10 | [Helicone](https://openaitools.app/tool/helicone-ai) | 57,187 | -25.2% | Freemium, Free Trial, Paid, Contact for Pricing, Free | Excels at request caching, monitoring, and cost analytics, but functions primarily as a proxy monitor rather than a router. | [.md](https://openaitools.app/tool/helicone-ai.md) | --- Source: https://openaitools.app/compare/auriko-vs-litellm More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)