Lunary vs Respan: Which is Better in 2026?
A comprehensive comparison of Lunary and Respan covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Lunary if:
- →You want more affordable paid plans (from $20/mo)
- →You need event logging with searchable traces for production and staging or cost, latency and quality tracking in one place
Choose Respan if:
- →You need a broader feature set (7 features vs 6)
- →You need tracing, evaluations, prompt optimisation and an ai gateway in one platform or python and js/ts sdks plus native openai, vercel ai sdk, langchain, llamaindex and mastra integrations
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Lunary vs Respan: At a Glance
Pricing Comparison: Lunary vs Respan
Understanding the pricing differences between Lunary and Respan is crucial for making the right choice. Here's how their plans compare side by side.
Lunary Pricing
Respan Pricing
💡 Pricing takeaway: Both Lunary and Respan 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 Lunary and Respan stacks up.
What Makes Each Tool Unique
🔵 Unique to Lunary
Features available in Lunary but not in Respan:
- ✓Event logging with searchable traces for production and staging
- ✓Cost, latency and quality tracking in one place
- ✓Versioned prompt management decoupled from application code
- ✓AI playground for testing prompt variants on saved data
- ✓Human review, topic clustering and custom dashboards
- ✓Self-hosting with SSO, RBAC and PII masking on enterprise
🟣 Unique to Respan
Features available in Respan but not in Lunary:
- ✓Tracing, evaluations, prompt optimisation and an AI gateway in one platform
- ✓Python and JS/TS SDKs plus native OpenAI, Vercel AI SDK, LangChain, LlamaIndex and Mastra integrations
- ✓Gateway fronting OpenAI, Anthropic, OpenRouter, Groq, Fireworks, Together, Perplexity, Azure, Bedrock and Vertex
- ✓Agent tracing with cost and usage tracking
- ✓Published per-unit overage rates for logs and scores
- ✓PII masking, log omission and SOC 2 reporting
- ✓Generous free tier at 100k logs and 1k scores
Use Case Recommendations
Best for: Lunary
Lunary is an observability and prompt-management platform for applications built on LLMs, covering the gap between a prototype that works in a notebook and a deployment you can be accountable for. It logs production and staging traffic as events, gives you searchable traces of what the model was asked and what it returned, tracks cost and latency, and surfaces how real users are actually interacting with a chatbot — which is routinely different from how the team assumed they would. Prompt management is versioned and separated from the application code, so a prompt change does not require a redeploy, and an AI playground lets you test variants against saved data before promoting one. Human review and topic clustering turn the raw log into something a product owner can act on, and Smart Views, custom dashboards and CSV/JSONL export cover the reporting layer. The platform is available self-hosted for teams whose data cannot leave their infrastructure, with SSO, granular access control, PII masking and data-warehouse connectors on the enterprise tier. It is a fit for small AI teams who need real observability without adopting a heavyweight enterprise APM, and the free tier covers personal projects at 10,000 events per month across three projects.
Ideal use cases:
- •Teams or individuals who need event logging with searchable traces for production and staging
- •Teams or individuals who need cost, latency and quality tracking in one place
- •Teams or individuals who need versioned prompt management decoupled from application code
- •Teams or individuals who need ai playground for testing prompt variants on saved data
- •Anyone focused on observability workflows
- •Anyone focused on prompt-management workflows
Best for: Respan
Respan is an LLM engineering platform that unifies four things teams usually buy separately: observability and tracing, evaluations, prompt optimisation, and an AI gateway. The workflow it describes runs trace, evaluate, optimise, deploy, monitor — so the same platform that records what your agent did also scores it and feeds the result back into the prompt. The integration surface is unusually wide for an independent tool: Python and JS/TS SDKs, plus native support for the OpenAI SDK, OpenAI Agents SDK, Vercel AI SDK, Mastra, LangChain, LlamaIndex, Google GenAI, Mem0, Cognee, AssemblyAI, Linkup and PostHog. On the model side the Respan Gateway fronts OpenAI, Anthropic, OpenRouter, Groq, Fireworks, Together AI, Perplexity, Azure OpenAI, AWS Bedrock and Google Vertex, so provider routing is part of the platform rather than a separate proxy. Metering is transparent and per-unit: logs and evaluation scores are the billed dimensions, with published overage rates of $8 per 100k additional logs and $1 per 1k additional scores, and additional seats at $15 per member on the Team plan. Enterprise adds custom SLAs, a dedicated support engineer and a HIPAA BAA, with PII masking and SOC 2 reporting; HIPAA compliance is a $249/month add-on.
Ideal use cases:
- •Teams or individuals who need tracing, evaluations, prompt optimisation and an ai gateway in one platform
- •Teams or individuals who need python and js/ts sdks plus native openai, vercel ai sdk, langchain, llamaindex and mastra integrations
- •Teams or individuals who need gateway fronting openai, anthropic, openrouter, groq, fireworks, together, perplexity, azure, bedrock and vertex
- •Teams or individuals who need agent tracing with cost and usage tracking
- •Anyone focused on llm-observability workflows
- •Anyone focused on evaluations workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Lunary and Respan 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 Lunary better than Respan?
It depends on your needs. Lunary offers 6 key features including Event logging with searchable traces for production and staging and Cost, latency and quality tracking in one place, while Respan provides 7 features including Tracing, evaluations, prompt optimisation and an AI gateway in one platform and Python and JS/TS SDKs plus native OpenAI, Vercel AI SDK, LangChain, LlamaIndex and Mastra integrations. Lunary uses a freemium model with a free tier, while Respan is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Lunary cheaper than Respan?
Lunary is cheaper, starting at $20/month compared to Respan's $199/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 Lunary and Respan together?
Yes, many users combine Lunary and Respan in their workflow. Lunary excels at event logging with searchable traces for production and staging, while Respan shines with tracing, evaluations, prompt optimisation and an ai gateway in one platform. 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 Lunary and Respan?
While both are ai agent infrastructure tools, Lunary emphasizes event logging with searchable traces for production and staging, whereas Respan is known for tracing, evaluations, prompt optimisation and an ai gateway in one platform. The best choice depends on your specific workflow and feature priorities.
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