Is Helicone or Ray better?

Neither clearly leads. Helicone starts at Free and Ray at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.

Which is cheaper, Helicone or Ray?

Helicone starts at Free and Ray at Free.

Does Helicone or Ray run on more platforms?

Helicone runs on web, api. Ray runs on Linux, Mac, Windows.

Can I use Helicone for free?

Both have a free tier, so you can try either at no cost before committing.

What is Helicone best used for?

Helicone is most often used for monitoring cost and latency of production llm applications, debugging multi-step agent sessions, managing and iterating on prompts across a team, routing requests across multiple llm providers. Of those, monitoring cost and latency of production llm applications and debugging multi-step agent sessions are not what Ray is typically brought in for.

What can Helicone do that Ray cannot?

Helicone covers Request dashboard and tracking, Sessions and segments, Helicone Query Language (HQL), Prompt datasets and improvement. Ray covers Distributed computing, Ray Train, Ray Tune, RLlib.

AI · head to head

Helicone vs Ray

Helicone

Open-source LLM observability and gateway platform for AI applications

From: Free
Rated: -

Full review Website

Ray

Machine Learning

Scale AI and Python applications

From: Free
Rated: -

Full review Website

The short version

Each has a real cost: Helicone the free Hobby plan is capped at 10,000 requests per month, which teams with production traffic can exceed quickly.; Ray windows support is beta and multi node Ray clusters are untested on Windows
They diverge on capability: Helicone covers Request dashboard and tracking, Ray covers Distributed computing.
Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Helicone and Ray actually diverge.

Attributes where Helicone and Ray differ
Attribute	Helicone	Ray
Platforms	web, api	Linux, Mac, Windows
Category	AI	Machine Learning
Founded	Unknown	2019

Identical on both: starting price (Free), pricing model (freemium), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Helicone

Request dashboard and tracking
Sessions and segments
Helicone Query Language (HQL)
Prompt datasets and improvement
Playground
Rate limits and alerts

Only in Ray

Distributed computing
Ray Train
Ray Tune
RLlib
Ray Serve
PyTorch
TensorFlow
Hugging Face

What people use each for

The jobs each tool is most often brought in to do.

Helicone

Monitoring cost and latency of production LLM applicationsnot Ray
Debugging multi-step agent sessionsnot Ray
Managing and iterating on prompts across a teamnot Ray
Routing requests across multiple LLM providersnot Ray

Ray

Distributed AI model training and servingnot Helicone
Large-scale data processingnot Helicone
Reinforcement learning workloadsnot Helicone
ML inference servingnot Helicone

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Helicone

The free Hobby plan is capped at 10,000 requests per month, which teams with production traffic can exceed quickly.
Advanced compliance features like SOC 2 and HIPAA are only available starting at the $799/month Team plan.
Usage beyond the free tier is billed on top of the base subscription, adding cost unpredictability at scale.
On-premises deployment is restricted to the custom Enterprise tier.

Ray

Windows support is beta and multi node Ray clusters are untested on Windows
Windows lacks copy on write forking, which raises memory requirements, and Ray code assumes UNIX filenames
Multi node clusters are untested on Apple Silicon Macs
The Java API is experimental and community supported only, and requires matching Java and Python versions
Python 3.13 support is beta

Pricing, plan by plan

Helicone

Free

HobbyFree
- 10,000 free requests
- 1 GB storage
- 1 seat
Pro$79/month
- 10K free requests included, usage-based beyond
- 7-day free trial
- Unlimited playgrounds and workspaces
Team$799/month
- 5 organizations
- SOC 2 and HIPAA compliance
- Dedicated Slack channel access
Enterprise$undefined/mo
- Custom MSAs and SAML SSO
- On-premises deployment
- Bulk cloud discounts

Ray

Free

Open SourceFree
- Full Ray framework
- All libraries
- Community support
Anyscale PlatformFree
- Managed infrastructure
- Enterprise support
- SLAs

Which should you pick?

Choose Helicone if

You need request dashboard and tracking.
You want to start without paying.
You work on web, api.
You also want sessions and segments.

Helicone review

Choose Ray if

You need distributed computing.
You want to start without paying.
You work on Linux, Mac, Windows.
You also want ray train.

Ray review

Questions people ask

Is Helicone or Ray better?: Neither clearly leads. Helicone starts at Free and Ray at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Helicone or Ray?: Helicone starts at Free and Ray at Free.
Does Helicone or Ray run on more platforms?: Helicone runs on web, api. Ray runs on Linux, Mac, Windows.
Can I use Helicone for free?: Both have a free tier, so you can try either at no cost before committing.
What is Helicone best used for?: Helicone is most often used for monitoring cost and latency of production llm applications, debugging multi-step agent sessions, managing and iterating on prompts across a team, routing requests across multiple llm providers. Of those, monitoring cost and latency of production llm applications and debugging multi-step agent sessions are not what Ray is typically brought in for.
What can Helicone do that Ray cannot?: Helicone covers Request dashboard and tracking, Sessions and segments, Helicone Query Language (HQL), Prompt datasets and improvement. Ray covers Distributed computing, Ray Train, Ray Tune, RLlib.

Answered from the vendors’ own pages

Helicone: What does Helicone cost?

Helicone offers a free Hobby plan, a Pro plan at $79/month, a Team plan at $799/month, and custom Enterprise pricing, with usage-based charges applying beyond included request limits.

Source

Ray: Is Ray free?

Yes. Ray is free and open source software with over 34,800 GitHub stars and 1,000+ contributors. Users can download and use the Ray framework at no cost.

Source

Helicone: Is there a free plan, and what are its limits?

The free Hobby plan includes 10,000 requests per month, 1 GB of storage, 1 seat, and 1 organization, aimed at kickstarting AI projects.

Source

Ray: Is there a paid option for Ray?

Yes. Anyscale, the managed platform built by Ray's creators, offers paid tiers with enterprise features like governance and advanced tooling. Specific Anyscale pricing details are not listed on the Ray website.

Source

Helicone: Are there discounts available?

Helicone offers 50% off the first year for qualifying startups, discounts for non-profits, a $100 annual credit for open-source projects, and free access for students.

Source

Ray: Can I try Ray with credits?

Yes. New users can try Ray with $100 credit on Anyscale's managed platform to explore the service.

Source

Helicone vs Ray

Helicone

Ray

The short version

Where they differ

What each one covers

Only in Helicone

Only in Ray

What people use each for

Helicone

Ray

Where each one falls short

Helicone

Ray

Pricing, plan by plan

Helicone

Ray

Which should you pick?

Choose Helicone if

Choose Ray if

Questions people ask

Answered from the vendors’ own pages

Related pages

More on Helicone

More on Ray

Keep looking

Other head to heads