Helicone vs LangSmith: Which is Better in 2026?
A comprehensive comparison of Helicone and LangSmith covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose Helicone if:
- →You need request logging and replay or cost and latency tracking
Choose LangSmith if:
- →You need full trace visualization for chains and agents or prompt hub and versioning
Helicone vs LangSmith: At a Glance
Pricing Comparison: Helicone vs LangSmith
Understanding the pricing differences between Helicone and LangSmith is crucial for making the right choice. Here's how their plans compare side by side.
💡 Pricing takeaway: Both Helicone and LangSmith offer free tiers, making it easy to try before you buy. Visit each tool's website for the latest pricing details.
Feature-by-Feature Comparison
Here's how every feature from Helicone and LangSmith stacks up.
What Makes Each Tool Unique
🔵 Unique to Helicone
Features available in Helicone but not in LangSmith:
- ✓Request logging and replay
- ✓Cost and latency tracking
- ✓Prompt versioning
- ✓A/B testing for prompts
- ✓User session tracking
🟣 Unique to LangSmith
Features available in LangSmith but not in Helicone:
- ✓Full trace visualization for chains and agents
- ✓Prompt hub and versioning
- ✓Evaluation datasets and automated tests
- ✓Production monitoring
- ✓Dataset curation
Use Case Recommendations
Best for: Helicone
Open-source LLM observability platform. Helicone logs all your LLM requests, tracks costs and latency, runs prompt experiments, and detects issues — with a single line of code added to your existing OpenAI or Anthropic calls.
Ideal use cases:
- •Teams or individuals who need request logging and replay
- •Teams or individuals who need cost and latency tracking
- •Teams or individuals who need prompt versioning
- •Teams or individuals who need a/b testing for prompts
- •Anyone focused on LLM observability workflows
- •Anyone focused on prompt monitoring workflows
Best for: LangSmith
LLMOps platform by LangChain for debugging, testing, evaluating, and monitoring LLM applications. LangSmith provides full trace visibility into complex chains, agents, and RAG pipelines built with LangChain or any framework.
Ideal use cases:
- •Teams or individuals who need full trace visualization for chains and agents
- •Teams or individuals who need prompt hub and versioning
- •Teams or individuals who need evaluation datasets and automated tests
- •Teams or individuals who need production monitoring
- •Anyone focused on LLMOps workflows
- •Anyone focused on LangChain workflows
🤖 Other AI Agent Infrastructure Tools to Consider
Helicone and LangSmith 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.
Frequently Asked Questions
Is Helicone better than LangSmith?
It depends on your needs. Helicone offers 5 key features including Request logging and replay and Cost and latency tracking, while LangSmith provides 5 features including Full trace visualization for chains and agents and Prompt hub and versioning. Helicone uses a freemium model with a free tier, while LangSmith is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is Helicone cheaper than LangSmith?
Both tools have similar pricing structures. 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 Helicone and LangSmith together?
Yes, many users combine Helicone and LangSmith in their workflow. Helicone excels at request logging and replay, while LangSmith shines with full trace visualization for chains and agents. 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 Helicone and LangSmith?
While both are ai agent infrastructure tools, Helicone emphasizes request logging and replay, whereas LangSmith is known for full trace visualization for chains and agents. The best choice depends on your specific workflow and feature priorities.
Learn More
📋 Helicone Review
Full review with features, pros & cons
📋 LangSmith Review
Full review with features, pros & cons
💰 Helicone Pricing
Detailed pricing breakdown & plans
💰 LangSmith Pricing
Detailed pricing breakdown & plans