Software · head to head
CoreWeave vs Together AI
The short version
- Only Together AI has a free tier, so it costs nothing to try first.
- Each has a real cost: CoreWeave gPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- They diverge on capability: CoreWeave covers NVIDIA H100/A100, Together AI covers Open-source models.
Where they differ
Only the attributes on which CoreWeave and Together AI actually diverge.
| Attribute | CoreWeave | Together AI |
|---|---|---|
| Starting price | $0.35/per-hour | Free |
| Free tier | No | Yes |
| Platforms | Cloud | Api, Cloud |
| Founded | 2017 | 2022 |
Identical on both: pricing model (usage-based), 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 CoreWeave
- NVIDIA H100/A100
- Kubernetes native
- High bandwidth
- Object storage
- Kubernetes
- Terraform
- Cloud APIs
Only in Together AI
- Open-source models
- Fine-tuning
- Fast inference
- Embeddings
- REST API
- Python SDK
- OpenAI compatible
- Api support
Both cover
- Cloud support
What people use each for
The jobs each tool is most often brought in to do.
CoreWeave
- Renting GPU compute for model training and inferencenot Together AI
- Running large scale AI workloads without buying hardwarenot Together AI
Together AI
- Serverless inference against open source chat, vision, embedding, image and video modelsnot CoreWeave
- Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot CoreWeave
- Fine tuning open weight models on a per token basisnot CoreWeave
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
CoreWeave
- GPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand
- Spot pricing is roughly 40% of on demand, at $19.71 an hour for the same H100 node, so predictable capacity carries a large premium
- The newest hardware carries no published price and requires contacting sales
- Discounts of up to 60% require committed usage agreements negotiated with sales
- Only the GH200 is offered as a single GPU instance
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
CoreWeave
$0.35/per-hour- Standard$0.35/per-hour
- Various GPU types
- Kubernetes
- EnterpriseFree
- Dedicated clusters
- Custom solutions
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 CoreWeave if
- You need nvidia h100/a100.
- You work on Cloud.
- You also want kubernetes native.
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 CoreWeave or Together AI better?
- Neither clearly leads. CoreWeave starts at $0.35/per-hour and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, CoreWeave or Together AI?
- Together AI has a free tier; the other does not. Paid plans start at $0.35/per-hour for CoreWeave and Free for Together AI.
- Does CoreWeave or Together AI run on more platforms?
- CoreWeave runs on Cloud. 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. CoreWeave starts at $0.35/per-hour.
- What is CoreWeave best used for?
- CoreWeave is most often used for renting gpu compute for model training and inference, running large scale ai workloads without buying hardware. Of those, renting gpu compute for model training and inference and running large scale ai workloads without buying hardware are not what Together AI is typically brought in for.
- What can CoreWeave do that Together AI cannot?
- CoreWeave covers NVIDIA H100/A100, Kubernetes native, High bandwidth, Object storage. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings. Both handle Cloud support.
Related pages
More on Together AI
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