Machine Learning · pricing
Ray pricing
Ray publishes 2 tiers. Below is each one, what it adds over the tier beneath it, and where the ladder stops being worth climbing for most people.
As of 30 August 2026, Ray pricing is free across 2 published tiers. Figures are the vendor's list prices as recorded on this page's last check; the vendor's site is the final word.
- Entry price
- Free
- Model
- Freemium
- Tiers
- 2
- Free tier
- Yes
Ray plans, side by side
Every published tier in ascending order of price, with the number of features each one lists. An absence here means the record does not itemise it, not that the tier lacks it.
| Plan | Price | Features listed | Step up from the tier below |
|---|---|---|---|
| Open Source | Free | 3 | Entry tier |
| Anyscale Platform | Free | 3 | +$0/month, 3 more features |
What each tier adds
The set difference between each tier's feature list and the one beneath it. Where a tier lists nothing new, the vendor has either stopped repeating the inherited list or the tier raises limits rather than adding capability, the record does not distinguish the two, so this page does not either.
Open Source
FreeThe entry tier. It covers full ray framework, all libraries, community support.
Anyscale Platform
FreeOver Open Source, this tier adds:
- Managed infrastructure
- Enterprise support
- SLAs
Where Ray stops being free
Open Source, Free
- Full Ray framework
- All libraries
- Community support
No paid tier on record
Ray lists a free tier and no priced tier above it in the record we hold.
What the product covers
The full Ray feature record, grouped as the catalogue groups it. This is the product as a whole; the record does not map every feature onto a specific tier.
Other
- Distributed computing
- Ray Train
- Ray Tune
- RLlib
- Ray Serve
Integrations
- PyTorch
- TensorFlow
- Hugging Face
- scikit-learn
- Kubernetes
Platform
- Linux support
- Mac support
- Windows support
People bring Ray in for distributed ai model training and serving, large-scale data processing, reinforcement learning workloads, ml inference serving. If that is not the job you are buying for, the alternatives to Ray are worth a look before you commit to a tier.
How that compares in Machine Learning
Too few machine learning tools in this directory publish a starting price to quote a meaningful median, so the table below is a like-for-like list rather than a ranking.
| Tool | Entry price | Model | Rated | Head to head |
|---|---|---|---|---|
| Ray (this page) | Free | freemium | - | |
| ClearML | Free | Open-source self-hosted, with paid hosted and enterprise tiers | - | vs Ray |
| Langwatch | Free, then €29/month | Tiered subscription with usage-based overage charges | - | vs Ray |
| Haystack | Free | Open-source with optional paid enterprise support | - | vs Ray |
| Semantic Kernel | Free | Open source, no pricing | - | vs Ray |
| Fal AI | $1.89/hour | usage-based | - | vs Ray |
| H2O.ai | Free | freemium | - | vs Ray |
Ratings are aggregated from third-party sources and imported with each catalogue entry, they are not reviews hosted on Softwr. How each figure is used is set out on the Ray badges page.
Before you pay for Ray
Three things this page cannot tell you, and all three change the bill. The record carries a price and a billing period but not the unit - per-seat and flat-rate pricing are indistinguishable in this data, so a five-person team may be looking at five times the figure above. It carries no annual rate, so any discount for paying yearly is not something this page can quote. And it carries no trial length.
What it can tell you is the shape of the ladder: 2 tiers between Free and Free, with the jump itemised above. Because there is a free tier, the cheapest way to answer the rest is to use it before paying anything.
Ray runs on linux, mac, windows, and is published by Anyscale of San Francisco, California. The full record is on the Ray review, and the rest of the category is under best machine learning tools.
Ray pricing questions
- How much does Ray cost?
- Ray publishes 2 tiers, from Free for Open Source up to Free for Anyscale Platform. The entry tier costs nothing.
- Does Ray have a free plan?
- Yes. The Open Source tier costs nothing and covers full ray framework, all libraries, community support.
- What is the difference between Open Source and Anyscale Platform on Ray?
- Anyscale Platform costs Free against Free, and adds managed infrastructure, enterprise support, slas.
- Which machine learning tools can I use without paying?
- 7 of the 8 machine learning tools listed alongside Ray have a free tier: ClearML, Langwatch, Haystack, Semantic Kernel, H2O.ai.
- What am I actually paying for with Ray?
- The record lists 13 features across 3 areas: other, integrations, platform. In practice it is brought in for distributed ai model training and serving, large-scale data processing, reinforcement learning workloads.
- Does Ray charge per user?
- The record carries a price and a billing period for each of its 2 tiers, but not the unit that price is charged in. Per-seat and flat-rate billing look identical in this data, so check the vendor's page before budgeting for a team.
- Are these Ray prices current?
- They are what the catalogue entry holds, refreshed when the entry is. Vendors change pricing without notice and nobody at Softwr re-verifies each tier by hand, so treat this as a structured summary and the vendor's own pricing page as the authority.
- What should I compare Ray against before paying?
- The closest machine learning tools in this directory are ClearML, Langwatch, Haystack, Semantic Kernel. Each has a side-by-side comparison with Ray covering price, platforms and features.