Machine Learning · head to head
Comet ML vs CoreWeave
Comet ML
Machine Learning
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Free plan
- Yes
The short version
- Only Comet ML has a free tier, so it costs nothing to try first.
- Each has a real cost: Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention; 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: Comet ML covers Experiment tracking, CoreWeave covers NVIDIA H100/A100.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Comet ML and CoreWeave actually diverge.
Identical on both: user rating (Not yet rated), founded (2017).
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 Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
Only in CoreWeave
- NVIDIA H100/A100
- Kubernetes native
- High bandwidth
- Object storage
- Kubernetes
- Terraform
- Cloud APIs
- Cloud support
What people use each for
The jobs each tool is most often brought in to do.
Comet ML
- LLM observability and monitoringnot CoreWeave
- AI agent testing and debuggingnot CoreWeave
- Experiment tracking for machine learningnot CoreWeave
- Model registry and version managementnot CoreWeave
- ML model training monitoringnot CoreWeave
CoreWeave
- Renting GPU compute for model training and inferencenot Comet ML
- Running large scale AI workloads without buying hardwarenot Comet ML
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Comet ML
- The free cloud tier caps data at 25,000 spans a month with 60 day retention
- Retention stays at 60 days even on the paid Pro plan, and extending it is a $29 per 100k spans add on
- Overage on Pro is $5 per additional 100,000 spans
- The free MLOps tier is a single user with 100 GB of storage and training hours governed by a fair usage policy
- Pro MLOps is $19 per user per month and caps the team at 10 users
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
Comet ML
Free- Free CloudFree
- Up to 10 team members
- 25,000 spans per month
- 60-day data retention
- Pro Cloud$19/month
- Up to 50 team members
- 100,000 spans per month
- 60-day data retention
- MLOps FreeFree
- 1 user with fair usage policy
- Experiment tracking
- Dataset management
- MLOps Pro$19/user/month
- Up to 10 users
- 1,500 training hours included
- 500GB storage included
CoreWeave
$0.35/per-hour- Standard$0.35/per-hour
- Various GPU types
- Kubernetes
- EnterpriseFree
- Dedicated clusters
- Custom solutions
Which should you pick?
Choose Comet ML if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Linux, Mac, Windows.
- You also want code versioning.
Choose CoreWeave if
- You need nvidia h100/a100.
- You work on Cloud.
- You also want kubernetes native.
Questions people ask
- Is Comet ML or CoreWeave better?
- Neither clearly leads. Comet ML 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, Comet ML or CoreWeave?
- Comet ML has a free tier; the other does not. Paid plans start at Free for Comet ML and $0.35/per-hour for CoreWeave.
- Does Comet ML or CoreWeave run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. CoreWeave runs on Cloud.
- Can I use Comet ML for free?
- Yes. Comet ML has a free tier, so you can try it without paying. CoreWeave starts at $0.35/per-hour.
- What is Comet ML best used for?
- Comet ML is most often used for llm observability and monitoring, ai agent testing and debugging, experiment tracking for machine learning, model registry and version management. Of those, llm observability and monitoring and ai agent testing and debugging are not what CoreWeave is typically brought in for.
- What can Comet ML do that CoreWeave cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization. CoreWeave covers NVIDIA H100/A100, Kubernetes native, High bandwidth, Object storage.
Answered from the vendors’ own pages
Comet ML: Does Comet.ml offer a free plan?
Yes, Comet.ml offers free tiers for both Opik (cloud observability) and MLOps platforms. Free Cloud Opik includes up to 10 team members and 25,000 spans/month. Free MLOps tier is limited to 1 user.
SourceCoreWeave: How much does CoreWeave cost?
CoreWeave does not publish pricing on its website. The company uses a quote-based pricing model and directs customers to contact their sales team directly to discuss pricing options and customized solutions.
SourceComet ML: How many team members can use the free Comet.ml tier?
Free Cloud supports up to 10 team members. The Pro Cloud plan supports up to 50 team members at $19/month.
SourceCoreWeave: How can I get a quote from CoreWeave?
To obtain CoreWeave pricing, you must contact their sales team directly through the Contact Us option on their website. They will provide a customized quote based on your specific compute and infrastructure requirements.
SourceComet ML: What is a span in Comet.ml pricing?
A span represents a single tracked operation such as model requests or function calls. Free Cloud tier includes 25,000 spans per month.
SourceComet ML: Does Comet.ml offer academic pricing?
Yes, a free Pro plan is available for academic users; verification is required via signup.
SourceRelated pages
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