AI · head to head
Banana vs Comet ML
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: Banana banana shut down its serverless GPU infrastructure on 31 March 2024 at noon PST and told customers to migrate to another provider by that time; Comet ML the free cloud tier caps data at 25,000 spans a month with 60 day retention
- They diverge on capability: Banana covers GPU inference, Comet ML covers Experiment tracking.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Banana and Comet ML actually diverge.
Identical on both: user rating (Not yet rated).
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 Banana
- GPU inference
- Auto-scaling
- Docker deployment
- Low latency
- REST API
- Python SDK
- Cloud support
- Api support
Only in Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
What people use each for
The jobs each tool is most often brought in to do.
Banana
- Historically, serverless GPU inference for machine learning modelsnot Comet ML
- Migration reference for teams that ran models on Banana before the 2024 shutdownnot Comet ML
Comet ML
- LLM observability and monitoringnot Banana
- AI agent testing and debuggingnot Banana
- Experiment tracking for machine learningnot Banana
- Model registry and version managementnot Banana
- ML model training monitoringnot Banana
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Banana
- Banana shut down its serverless GPU infrastructure on 31 March 2024 at noon PST and told customers to migrate to another provider by that time
- The vendor's own sunset notice names limited runway, retention problems and GPU supply constraints as the reasons for closing
- The banana.dev site still displays pricing tiers, but every tier links to the sunset notice rather than to a purchase
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
Pricing, plan by plan
Banana
$1200/month- Team$1200/month
- 10 team members
- 5 projects
- 50 max parallel GPUs
- Enterprise$null/custom
- Custom seat limit
- Custom GPU configuration
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
Which should you pick?
Choose Banana if
- You need gpu inference.
- You work on Cloud, Api.
- You also want auto-scaling.
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.
Questions people ask
- Is Banana or Comet ML better?
- Neither clearly leads. Banana starts at $1200/month and Comet ML at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Banana or Comet ML?
- Comet ML has a free tier; the other does not. Paid plans start at $1200/month for Banana and Free for Comet ML.
- Does Banana or Comet ML run on more platforms?
- Banana runs on Cloud, Api. Comet ML runs on Web, Linux, Mac, Windows.
- Can I use Comet ML for free?
- Yes. Comet ML has a free tier, so you can try it without paying. Banana starts at $1200/month.
- What is Banana best used for?
- Banana is most often used for historically, serverless gpu inference for machine learning models, migration reference for teams that ran models on banana before the 2024 shutdown. Of those, historically, serverless gpu inference for machine learning models and migration reference for teams that ran models on banana before the 2024 shutdown are not what Comet ML is typically brought in for.
- What can Banana do that Comet ML cannot?
- Banana covers GPU inference, Auto-scaling, Docker deployment, Low latency. Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization.
Answered from the vendors’ own pages
Banana: How much does Banana's Team plan cost?
The Team plan costs $1,200 per month plus the cost of compute resources at cost with zero markup applied.
SourceComet 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.
SourceBanana: What is the maximum team size on Banana's Team plan?
The Team plan includes 10 team members and supports a maximum of 5 projects with up to 50 parallel GPUs.
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.
SourceBanana: Does Banana offer an Enterprise plan with custom pricing?
Banana offers an Enterprise plan with custom pricing plus at-cost compute, including SAML SSO, automation API, and dedicated support.
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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