Machine Learning & Data Science · head to head
OpenAI API vs H2O.ai
OpenAI API
Machine Learning & Data Science
GPT and DALL-E APIs for developers
- From
- $0.15/per-million-tokens
- Rated
- -
H2O.ai
Machine Learning & Data Science
AI Cloud for building and deploying AI applications
- From
- Free
- Rated
- -
The short version
- Only H2O.ai has a free tier, so it costs nothing to try first.
- Each has a real cost: OpenAI API new accounts start with a $100 approved monthly usage limit and must spend cumulatively to graduate tiers; H2O.ai java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
- They diverge on capability: OpenAI API covers GPT models, H2O.ai covers AutoML.
Where they differ
Only the attributes on which OpenAI API and H2O.ai actually diverge.
| Attribute | OpenAI API | H2O.ai |
|---|---|---|
| Starting price | $0.15/per-million-tokens | Free |
| Pricing model | usage-based | freemium |
| Free tier | No | Yes |
| Platforms | Api | Web, Cloud |
| Founded | 2015 | 2011 |
Identical on both: user rating (Not yet rated), category (Machine Learning & Data Science).
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 OpenAI API
- GPT models
- DALL-E
- Whisper
- Embeddings
- REST API
- SDKs
- Azure OpenAI
- Api support
Only in H2O.ai
- AutoML
- Distributed computing
- Feature engineering
- Model explainability
- Time series forecasting
- Spark
- Hadoop
- Python
What people use each for
The jobs each tool is most often brought in to do.
OpenAI API
- Calling hosted language models from an applicationnot H2O.ai
- Generating images, audio and embeddings through one APInot H2O.ai
- Building agents and tool calling workflows on managed modelsnot H2O.ai
H2O.ai
- Distributed in-memory machine learning over large datasetsnot OpenAI API
- Training and productionising models from R or Python against a shared H2O clusternot OpenAI API
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
OpenAI API
- New accounts start with a $100 approved monthly usage limit and must spend cumulatively to graduate tiers
- Reaching the top Tier 5 monthly cap of $200,000 requires $1,000 of cumulative paid usage
- Rate limits apply simultaneously across requests per minute, requests per day, tokens per minute, tokens per day and images per minute, and the first one hit blocks the request
- API access is restricted to approved geographies
H2O.ai
- Java is always required to run H2O-3 even when working from R or Python, and only a 64-bit JRE or JDK is supported
- Supported Java versions stop at Java SE 17; newer versions only run by forcing an unsupported version flag and are guaranteed for experiments rather than production
- H2O-3 only supports numpy below version 2, so a numpy 2 environment must be downgraded
- Supported Python versions are limited to 3.7 through 3.11
- The Flow web UI requires an internet browser and is the only graphical interface
Pricing, plan by plan
OpenAI API
$0.15/per-million-tokens- GPT-4o mini$0.15/per-million-input-tokens
- Fast
- Affordable
- GPT-4o$5/per-million-input-tokens
- Multimodal
- 128K context
H2O.ai
Free- H2O-3 Open SourceFree
- Core algorithms
- AutoML
- Community support
- Driverless AIFree
- Automatic feature engineering
- Model explainability
- Enterprise support
Which should you pick?
Choose H2O.ai if
- You need automl.
- You want to start without paying.
- You work on Web, Cloud.
- You also want distributed computing.
Questions people ask
- Is OpenAI API or H2O.ai better?
- Neither clearly leads. OpenAI API starts at $0.15/per-million-tokens and H2O.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, OpenAI API or H2O.ai?
- H2O.ai has a free tier; the other does not. Paid plans start at $0.15/per-million-tokens for OpenAI API and Free for H2O.ai.
- Does OpenAI API or H2O.ai run on more platforms?
- OpenAI API runs on Api. H2O.ai runs on Web, Cloud.
- Can I use H2O.ai for free?
- Yes. H2O.ai has a free tier, so you can try it without paying. OpenAI API starts at $0.15/per-million-tokens.
- What is OpenAI API best used for?
- OpenAI API is most often used for calling hosted language models from an application, generating images, audio and embeddings through one api, building agents and tool calling workflows on managed models. Of those, calling hosted language models from an application and generating images, audio and embeddings through one api are not what H2O.ai is typically brought in for.
- What can OpenAI API do that H2O.ai cannot?
- OpenAI API covers GPT models, DALL-E, Whisper, Embeddings. H2O.ai covers AutoML, Distributed computing, Feature engineering, Model explainability.
Answered from the vendors’ own pages
H2O.ai: Is H2O open source and free?
Yes. H2O-3 OSS is free and Apache-licensed, designed for self-managed and experimental workflows. H2O.ai also offers enterprise cloud solutions with additional features.
SourceH2O.ai: How many companies use H2O's open source platform?
Over 18,000 companies across Finance, Insurance, Healthcare, Retail, Telco, Sales, and Marketing use H2O's open-source machine learning platform.
Source