Helicone
Helicone gives AI developers a single gateway to manage, monitor, and debug large language model requests.
Updated October 2026
Overview: What is Helicone?
It supports over 100 models through one SDK. Teams get visibility into usage, costs, and performance within minutes of integration.
Helicone acts as a proxy layer between your application and AI providers like OpenAI, Anthropic, and Azure. It captures every request and response, then surfaces metrics around latency, cost, and error rates. Developers can cache responses, set rate limits, and configure alerts without changing their core application logic. The platform also provides tools for analyzing prompt effectiveness and usage patterns across different models. Switching between providers requires no code rewrites because Helicone abstracts the API layer. This makes it straightforward for teams to compare model performance and optimize their AI stack over time.
Fit: Ideal customer profile.
AI teams at startups and scale-ups building production LLM applications who need centralized observability across multiple model providers.
- Seed
- Series A
- SMB
Capabilities
Key features.
01
Single SDK for 100+ AI models
02
Switch providers without code rewrites
03
Request logging and replay
04
Rate limiting and alerting
05
Response caching
06
Cost and usage analytics
07
Prompt performance tracking
08
SOC-2 and HIPAA compliance on higher tiers
09
Open-source SDK
10
Setup in under five minutes
Usage
How to use Helicone.
Teams integrate Helicone by pointing their existing API calls at the Helicone gateway endpoint. The SDK handles routing to the chosen provider and logs all interaction data automatically. From there, developers use the dashboard to inspect individual requests, track aggregate metrics, and set up monitoring rules.
Cost
Pricing.
$79/ Per seat
Free Hobby plan available with 10,000 requests. Paid plans start at $79 per month for the Pro tier.
Hobby
$0.00
- 10,000 requests
- 1 GB storage
- 1 seat
- 1 organization
- 7 days retention
- 10 calls/min
Pro
$79.00
- Unlimited seats
- Unlimited requests
- 1 month retention
- Tiered pricing
- 60 calls/min
- 7-day free trial
Team
$799.00
- 5 organizations
- SOC-2 & HIPAA
- Dedicated Slack
- Support engineer
- 3 months retention
- 1000 calls/min
Enterprise
$Contact us
- Unlimited organizations
- Custom MSA
- SAML SSO
- On-prem deployment
- Bulk discounts
- Custom support
At a glance
Quick facts.
- Stack position
- Analytics
- Category
- AI Agents
- Best for
- Seed, Series A, SMB
- Pricing
- From $79/Per seat
Subcategories
- Social Listening
Questions
Frequently asked.
How do you integrate Helicone into an existing application?
You connect through a single SDK that supports over 100 AI models. The setup takes minutes and requires minimal code changes.
What does Helicone cost?
A free Hobby plan includes 10,000 requests per month. Paid tiers range from $79 to $799 per month with usage-based pricing available.
Why should teams choose Helicone over alternatives?
It offers provider flexibility with no vendor lock-in and an open-source SDK. Teams also get cost tracking and debugging tools purpose-built for LLM workloads.
How does Helicone process and route AI requests?
All requests pass through the Helicone gateway, which routes them to your configured provider. The platform logs responses, caches results, and surfaces performance analytics.
Is there a free version of Helicone?
Yes. The Hobby plan is free and includes 10,000 requests, 1 GB of storage, and 7-day data retention.
Which AI providers does Helicone support?
Helicone integrates with major providers including OpenAI, Anthropic, and Azure. This allows teams to work with a wide range of models through one interface.
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Talk to us: Pick the tool. We run the system around it.
Helicone is one part of a stack. We build and run the revenue system it plugs into.
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