Auriko vs Mastra: Which is Better in 2026?
A comprehensive comparison of Auriko and Mastra covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Auriko if:
- →You want more affordable paid plans (from $89/mo)
- →You need openai-compatible endpoint across 12 model providers or cache-aware cost modelling per request
Choose Mastra if:
- →You need agents, tools, and workflows as typescript primitives or built-in observability: traces, metrics, and logs
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Auriko vs Mastra: At a Glance
Pricing Comparison: Auriko vs Mastra
Understanding the pricing differences between Auriko and Mastra is crucial for making the right choice. Here's how their plans compare side by side.
Mastra Pricing
💡 Pricing takeaway: Both Auriko and Mastra 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 Mastra stacks up.
What Makes Each Tool Unique
🔵 Unique to Auriko
Features available in Auriko but not in Mastra:
- ✓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 Mastra
Features available in Mastra but not in Auriko:
- ✓Agents, tools, and workflows as TypeScript primitives
- ✓Built-in observability: traces, metrics, and logs
- ✓Evals, experiments, scorers, and datasets
- ✓Studio for collaborative iteration on agents
- ✓Server product for cloud deployment
- ✓Extensive learning material — course, books, templates, workshops
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: Mastra
Mastra is a TypeScript framework for building AI agents and the applications around them, built by the team that previously created Gatsby. The core framework covers agents, tools, and workflows as first-class primitives, so a long-running agent is expressed in ordinary TypeScript rather than assembled from prompt strings and glue code. Around that framework sits a platform: observability with metrics, logs, and traces so agent runs are inspectable after the fact; evals, experiments, scorers, and datasets for measuring whether a change actually improved behavior; a Studio for collaborating on and iterating over agents; an Agent Builder; and a Server product that handles cloud deployment for agents. The company emphasizes agents that run for days rather than single-turn calls, which is what pushes the observability and scoring surface to the center of the product instead of leaving it as an add-on. Mastra is open source with roughly 26.7k GitHub stars and maintains a substantial learning surface — a quickstart, project templates, a video course, two books (Principles of Building AI Agents and Patterns of Building AI Agents), live workshops, and a weekly podcast — which makes it one of the more approachable entry points for JavaScript developers moving into agent work.
Ideal use cases:
- •Teams or individuals who need agents, tools, and workflows as typescript primitives
- •Teams or individuals who need built-in observability: traces, metrics, and logs
- •Teams or individuals who need evals, experiments, scorers, and datasets
- •Teams or individuals who need studio for collaborative iteration on agents
- •Anyone focused on typescript workflows
- •Anyone focused on agent framework workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Auriko and Mastra 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 Mastra?
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 Mastra provides 6 features including Agents, tools, and workflows as TypeScript primitives and Built-in observability: traces, metrics, and logs. Auriko uses a freemium model with a free tier, while Mastra is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Auriko cheaper than Mastra?
Both tools are similarly priced, starting at $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 Mastra together?
Yes, many users combine Auriko and Mastra in their workflow. Auriko excels at openai-compatible endpoint across 12 model providers, while Mastra shines with agents, tools, and workflows as typescript primitives. 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 Mastra?
While both are ai agent infrastructure tools, Auriko emphasizes openai-compatible endpoint across 12 model providers, whereas Mastra is known for agents, tools, and workflows as typescript primitives. The best choice depends on your specific workflow and feature priorities.
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