Auriko vs LLM Gateway: Which is Better in 2026?
A comprehensive comparison of Auriko and LLM Gateway covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Auriko if:
- →You need openai-compatible endpoint across 12 model providers or cache-aware cost modelling per request
Choose LLM Gateway if:
- →You want more affordable paid plans (from $0.01/mo)
- →You need one openai-compatible endpoint for 200+ models across 40+ providers or real-time cost tracking and spend controls across every provider
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Auriko vs LLM Gateway: At a Glance
Pricing Comparison: Auriko vs LLM Gateway
Understanding the pricing differences between Auriko and LLM Gateway is crucial for making the right choice. Here's how their plans compare side by side.
LLM Gateway Pricing
💡 Pricing takeaway: Both Auriko and LLM Gateway offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from Auriko and LLM Gateway stacks up.
What Makes Each Tool Unique
🔵 Unique to Auriko
Features available in Auriko but not in LLM Gateway:
- ✓OpenAI-compatible endpoint across 12 model providers
- ✓Cache-aware cost modelling per request
- ✓Routing objectives for cost, TTFT, throughput or custom
- ✓Automatic failover and load balancing
- ✓BYOK or platform keys with key orchestration
- ✓Per-workspace and per-key budget limits and alerts
🟣 Unique to LLM Gateway
Features available in LLM Gateway but not in Auriko:
- ✓One OpenAI-compatible endpoint for 200+ models across 40+ providers
- ✓Real-time cost tracking and spend controls across every provider
- ✓Automatic provider routing plus custom routing rules
- ✓Prompt caching, guardrails and reliability failover
- ✓Bring-your-own-keys on the free tier
- ✓MCP server, AI SDK provider and a token cost calculator
Use Case Recommendations
Best for: Auriko
Auriko is an LLM gateway that sits between your application and a dozen model providers — OpenAI, Anthropic, Google AI Studio, xAI, Fireworks, Together, DeepSeek, DeepInfra, MiniMax, Moonshot, Z.AI and SiliconFlow — behind one OpenAI-compatible endpoint. The differentiator it argues for is cost modelling rather than a price table: instead of comparing headline per-token rates, it models how a specific workload interacts with each provider's prompt-caching mechanics and routes each request to whichever provider is actually cheapest once cache behaviour is accounted for. Routing strategies are configurable — optimise for cost, time-to-first-token, throughput or a custom objective, with constraints like a p95 throughput floor, an input-cost ceiling, zero-data-retention providers only, or structured-output-capable models only. It handles automatic failover, load balancing, and key orchestration in either BYOK or platform-key mode, and it exposes budget controls with spend limits and alerts scoped per workspace or per API key. Integration is a base_url swap plus an optional extra_body block for the routing policy, and the documented integrations cover the OpenAI Agents SDK, Claude Agent SDK, Google ADK, LangChain, the Vercel AI SDK, LlamaIndex, CrewAI, Claude Code and several coding agents. The company charges no markup on provider prices at any tier, which puts it in the same billing posture as OpenRouter but with more explicit routing control.
Ideal use cases:
- •Teams or individuals who need openai-compatible endpoint across 12 model providers
- •Teams or individuals who need cache-aware cost modelling per request
- •Teams or individuals who need routing objectives for cost, ttft, throughput or custom
- •Teams or individuals who need automatic failover and load balancing
- •Anyone focused on llm-gateway workflows
- •Anyone focused on routing workflows
Best for: LLM Gateway
LLM Gateway is an open-source, OpenAI-compatible routing layer that puts one API in front of more than 200 models across 40-plus providers, including OpenAI, Anthropic and Google. The problem it solves is operational rather than intellectual: teams that use several providers end up juggling separate keys, separate dashboards, separate billing and separate SDK quirks, and switching provider for a given model means a code change. Pointing an existing OpenAI-compatible client at the gateway collapses that into one endpoint with real-time cost tracking across all of it. Around the core routing sit the features that make a gateway worth running in production — automatic provider selection and custom routing rules, budgets and spend controls, prompt caching, guardrails, reliability failover, and activity logs with exportable data. The commercial model is unusual and worth reading carefully: the free tier is free forever with all 200+ models available and bring-your-own-keys included, and the platform fee is 5% on credit usage rather than a monthly subscription, so cost scales with spend rather than seats. Metadata retention is free while full payload storage is billed at $0.01 per million tokens. Supporting surfaces include an MCP server, an AI SDK provider, a token cost calculator, model comparison and rankings pages, and the vendor states it is SOC 2 Type II certified.
Ideal use cases:
- •Teams or individuals who need one openai-compatible endpoint for 200+ models across 40+ providers
- •Teams or individuals who need real-time cost tracking and spend controls across every provider
- •Teams or individuals who need automatic provider routing plus custom routing rules
- •Teams or individuals who need prompt caching, guardrails and reliability failover
- •Anyone focused on llm-gateway workflows
- •Anyone focused on api workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Auriko and LLM Gateway aren't the only options. Here are other popular tools in the same space:
SuperAGI
Open-source autonomous AI agent framework with visual dashboard — 14K GitHub stars
MetaGPT
Multi-agent AI framework simulating software teams — 45K GitHub stars, builds full apps from prompts
Cerebras
Fastest LLM inference powered by the Wafer Scale Engine.
Scale AI
AI data platform for training data and model evaluation.
Roboflow
End-to-end computer vision platform for developers.
Labelbox
Enterprise data labeling platform for ML training datasets.
Is one of these your tool?
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Frequently Asked Questions
Is Auriko better than LLM Gateway?
It depends on your needs. Auriko offers 6 key features including OpenAI-compatible endpoint across 12 model providers and Cache-aware cost modelling per request, while LLM Gateway provides 6 features including One OpenAI-compatible endpoint for 200+ models across 40+ providers and Real-time cost tracking and spend controls across every provider. Auriko uses a freemium model with a free tier, while LLM Gateway is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Auriko cheaper than LLM Gateway?
LLM Gateway is cheaper, starting at $0.01/month compared to Auriko's $89/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use Auriko and LLM Gateway together?
Yes, many users combine Auriko and LLM Gateway in their workflow. Auriko excels at openai-compatible endpoint across 12 model providers, while LLM Gateway shines with one openai-compatible endpoint for 200+ models across 40+ providers. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between Auriko and LLM Gateway?
While both are ai agent infrastructure tools, Auriko emphasizes openai-compatible endpoint across 12 model providers, whereas LLM Gateway is known for one openai-compatible endpoint for 200+ models across 40+ providers. The best choice depends on your specific workflow and feature priorities.
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