Build reliable AI apps with Helicone: AI Gateway & LLM Observability for debugging, routing, and analysis.
From $100/mo (free plan available)Visit WebsiteThe Bottom Line
- Price
- From $100/mo (free plan available). Compare plans
Key facts
- Routes, debugs, and analyzes AI applications.
- Offers LLM observability and an AI Gateway.
- Provides flexible pricing and scales with usage.
Pros
- LLM observability
- Request logging
- Cost tracking
- Good for AI apps
- Fair pricing
Cons
- Newer platform
- Limited features
- Still maturing
- Integration effort
- Documentation improving
What is Helicone?
Available on: Web
Ratings Across the Web
Helicone holds an aggregate rating of 4.5 out of 5 from 2 reviews across G2, last checked September 5, 2026.
Ratings aggregated from independent review platforms. Learn more
Key Features
- LLM observability
- Request logging
- Cost tracking
- Latency monitoring
- Prompt management
- Analytics
Pricing Plans
Pricing checked Oct 3, 2026
| Plan | Price | Details |
|---|---|---|
| Free | $0 | Getting started
+1 more Show less
|
| Pro | $100/month | Production
+1 more Show less
|
| Enterprise | Custom | Large scale
+1 more Show less
|
Is Helicone worth the price?
Helicone's pricing is quite fair, offering a generous Free tier for initial exploration and a well-priced Pro tier at $100/month for significant production use.
The 10M requests/month for $100 is a strong value proposition for many AI applications. It's best for developers and small to medium-sized businesses building and scaling AI applications.
Hidden Costs & Gotchas
Potential overage fees if exceeding Pro tier limits
How Helicone's pricing compares
At $100/mo, billing unit not specified, Helicone is the most premium of its 2 comparable direct competitors.
Entry paid plan, monthly. Pricing checked Oct 3, 2026.
Reviews

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Helicone FAQ
How does Helicone help improve the reliability of AI applications?
Which teams would benefit most from using Helicone?
How is Helicone priced?
Can Helicone assist with managing costs associated with AI models?
What kind of limitations should users be aware of when considering Helicone?
How does Helicone compare to LangSmith for LLM observability?
Does Helicone offer tools for testing and improving prompts?
Source: helicone.ai