Software · head to head
Replicate vs CoreWeave
The short version
- Only Replicate has a free tier, so it costs nothing to try first.
- Each has a real cost: Replicate private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing; 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
- They diverge on capability: Replicate covers Model hosting, CoreWeave covers NVIDIA H100/A100.
Where they differ
Only the attributes on which Replicate and CoreWeave actually diverge.
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 Replicate
- Model hosting
- Simple API
- Auto-scaling
- Custom models
- REST API
- Python client
- JavaScript client
- Api support
Only in CoreWeave
- NVIDIA H100/A100
- Kubernetes native
- High bandwidth
- Object storage
- Kubernetes
- Terraform
- Cloud APIs
Both cover
- Cloud support
What people use each for
The jobs each tool is most often brought in to do.
Replicate
- Running open source machine learning models through a hosted API without managing GPUsnot CoreWeave
- Deploying and serving a custom or fine tuned model on rented GPU hardwarenot CoreWeave
- Per second billed batch image, video and language model inferencenot CoreWeave
CoreWeave
- Renting GPU compute for model training and inferencenot Replicate
- Running large scale AI workloads without buying hardwarenot Replicate
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Replicate
- Private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
- Multi-GPU A100, H100, H200 and L40S capacity beyond the listed configurations is only available with a committed spend contract
- The pricing page publishes no free tier allowance
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
Pricing, plan by plan
Replicate
Free- FreeFree
- Limited free credits
- Public models
- Pay-per-use$0.000225/per-second
- All models
- Private models
CoreWeave
$0.35/per-hour- Standard$0.35/per-hour
- Various GPU types
- Kubernetes
- EnterpriseFree
- Dedicated clusters
- Custom solutions
Which should you pick?
Choose Replicate if
- You need model hosting.
- You want to start without paying.
- You work on Api, Cloud.
- You also want simple api.
Choose CoreWeave if
- You need nvidia h100/a100.
- You work on Cloud.
- You also want kubernetes native.
Questions people ask
- Is Replicate or CoreWeave better?
- Neither clearly leads. Replicate starts at Free and CoreWeave at $0.35/per-hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Replicate or CoreWeave?
- Replicate has a free tier; the other does not. Paid plans start at Free for Replicate and $0.35/per-hour for CoreWeave.
- Does Replicate or CoreWeave run on more platforms?
- Replicate runs on Api, Cloud. CoreWeave runs on Cloud.
- Can I use Replicate for free?
- Yes. Replicate has a free tier, so you can try it without paying. CoreWeave starts at $0.35/per-hour.
- What is Replicate best used for?
- Replicate is most often used for running open source machine learning models through a hosted api without managing gpus, deploying and serving a custom or fine tuned model on rented gpu hardware, per second billed batch image, video and language model inference. Of those, running open source machine learning models through a hosted api without managing gpus and deploying and serving a custom or fine tuned model on rented gpu hardware are not what CoreWeave is typically brought in for.
- What can Replicate do that CoreWeave cannot?
- Replicate covers Model hosting, Simple API, Auto-scaling, Custom models. CoreWeave covers NVIDIA H100/A100, Kubernetes native, High bandwidth, Object storage. Both handle Cloud support.