Software · head to head
DataRobot vs Together AI

DataRobot
Software
Enterprise AI platform for automated machine learning
- From
- On request
- Rated
- -
The short version
- Only Together AI has a free tier, so it costs nothing to try first.
- Each has a real cost: DataRobot model transparency is limited, often resembling a black box with limited explainability; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- They diverge on capability: DataRobot covers Automated ML, Together AI covers Open-source models.
Where they differ
Only the attributes on which DataRobot and Together AI actually diverge.
| Attribute | DataRobot | Together AI |
|---|---|---|
| Starting price | On request | Free |
| Pricing model | subscription | usage-based |
| Free tier | No | Yes |
| Platforms | Web | Api, Cloud |
| Founded | 2012 | 2022 |
Identical on both: user rating (Not yet rated), category (Unknown).
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 DataRobot
- Automated ML
- Model deployment
- Time series
- MLOps
- Model monitoring
- Snowflake
- Databricks
- AWS
Only in Together AI
- Open-source models
- Fine-tuning
- Fast inference
- Embeddings
- REST API
- Python SDK
- OpenAI compatible
- Api support
What people use each for
The jobs each tool is most often brought in to do.
DataRobot
- Machine learningnot Together AI
- Data analysisnot Together AI
- Model trainingnot Together AI
- Predictive analyticsnot Together AI
Together AI
- Serverless inference against open source chat, vision, embedding, image and video modelsnot DataRobot
- Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot DataRobot
- Fine tuning open weight models on a per token basisnot DataRobot
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DataRobot
- Model transparency is limited, often resembling a black box with limited explainability
- Requires integration with separate data manipulation tools for complex data transformation
- Lacks native Python and R code customization for proprietary algorithms
- Dependence on cloud connectivity means offline capabilities are not available
- Uploading sensitive data to third-party servers raises data privacy and security concerns
Together AI
- Fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- Reserved GPU commitments beyond 180 days are priced by contacting sales with no published rate
- Volume and enterprise discounts are quote only with no published threshold
- Reserved dedicated inference pricing is contact sales while only on demand rates of $5.49 to $8.99 per GPU hour are published
Pricing, plan by plan
DataRobot
On request- TrialFree
- Limited access
- Basic features
- EnterpriseFree
- Full platform
- AutoML
- MLOps
Together AI
Free- FreeFree
- $5 credits
- API access
- Pay-per-use$0.2/per-million-tokens
- All models
- Fine-tuning
Which should you pick?
Choose Together AI if
- You need open-source models.
- You want to start without paying.
- You work on Api, Cloud.
- You also want fine-tuning.
Questions people ask
- Is DataRobot or Together AI better?
- Neither clearly leads. DataRobot starts at On request and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DataRobot or Together AI?
- Together AI has a free tier; the other does not. Paid plans start at On request for DataRobot and Free for Together AI.
- Does DataRobot or Together AI run on more platforms?
- DataRobot runs on Web. Together AI runs on Api, Cloud.
- Can I use Together AI for free?
- Yes. Together AI has a free tier, so you can try it without paying. DataRobot starts at On request.
- What is DataRobot best used for?
- DataRobot is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Together AI is typically brought in for.
- What can DataRobot do that Together AI cannot?
- DataRobot covers Automated ML, Model deployment, Time series, MLOps. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Answered from the vendors’ own pages
DataRobot: Does DataRobot require data science expertise?
DataRobot automates much of the ML pipeline including data preparation, feature engineering, and model selection, making it more accessible to non-experts, though it is still an enterprise platform.
SourceDataRobot: What does DataRobot cost?
DataRobot uses custom enterprise pricing with typical starting costs around $2,500 per month for smaller organizations. For 10 users, monthly costs range from $15,000 to $20,000. Implementation and professional services are 20-40% of first-year contract value.
SourceDataRobot: Does DataRobot support generative AI?
Yes, DataRobot offers generative AI capabilities with API-first integrations for LLMs, vector databases, and embedding models.
SourceDataRobot: Can DataRobot handle unstructured data?
Yes, DataRobot supports machine learning on both structured and unstructured data, including deep learning, NLP, and image analysis.
SourceRelated pages
More on Together AI
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- Together AI vs Murf
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- Together AI vs Pi
- Together AI vs Play.ht
- Together AI vs Replicate
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