Machine Learning · head to head
Comet ML vs Devin

Comet ML
Machine Learning
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -

Devin
Software Development
Autonomous AI software engineer planning and executing code in its own environment
- From
- On request
- Rated
- -
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; Devin pricing not published; specific costs and plan tiers require signup or contact with sales
Where they differ
Only the attributes on which Comet ML and Devin 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 Comet ML
- Experiment tracking
- Code versioning
- Model registry
- Hyperparameter optimization
- Production monitoring
- PyTorch
- TensorFlow
- Keras
Only in Devin
Nothing recorded that Comet ML does not also cover.
What people use each for
The jobs each tool is most often brought in to do.
Comet ML
- LLM observability and monitoringnot Devin
- AI agent testing and debuggingnot Devin
- Experiment tracking for machine learningnot Devin
- Model registry and version managementnot Devin
- ML model training monitoringnot Devin
Devin
- Feature implementation and ticket resolution in established codebasesnot Comet ML
- Code migrations and refactoring at scale across repositoriesnot Comet ML
- Bug fixing and debugging with test-driven verificationnot Comet ML
- Rapid prototyping and proof-of-concept developmentnot Comet ML
- Repetitive implementation tasks freeing human engineers for complex designnot 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
Devin
- Pricing not published; specific costs and plan tiers require signup or contact with sales
- Cannot handle extremely difficult tasks reliably; success rate decreases with task complexity
- Requires clear, well-scoped task descriptions; ambiguous requirements reduce effectiveness
- Requires human oversight and integration into existing workflows; not fully autonomous
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
Devin
On requestNo published plan breakdown. See the Devin review.
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.
Questions people ask
- Is Comet ML or Devin better?
- Neither clearly leads. Comet ML starts at Free and Devin at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or Devin?
- Comet ML has a free tier; the other does not. Paid plans start at Free for Comet ML and On request for Devin.
- Does Comet ML or Devin run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. Devin runs on Desktop, Windsurf integration, Web.
- Can I use Comet ML for free?
- Yes. Comet ML has a free tier, so you can try it without paying. Devin starts at On request.
- 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 Devin is typically brought in for.
- What can Comet ML do that Devin cannot?
- Comet ML covers Experiment tracking, Code versioning, Model registry, Hyperparameter optimization.
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.
SourceDevin: What does Devin cost?
Devin's pricing is not publicly listed on their website. Interested parties must request a demo to discuss pricing and availability.
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.
SourceDevin: How do I get access to Devin?
Devin is accessed by requesting a demo. There is no information about self-service signup, trial, or pricing on the public website.
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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- Comet ML vs Baseten
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- Comet ML vs Flagsmith
- Comet ML vs Unleash
- Comet ML vs Bun
- Comet ML vs Cline
- Comet ML vs Factory
- Comet ML vs Humanloop
- Comet ML vs Langfuse
- Devin vs AWS SageMaker
- Devin vs Google Vertex AI
- Devin vs Azure Machine Learning
- Devin vs DataRobot
- Devin vs MLflow
- Devin vs Snowflake
- Devin vs TensorFlow
- Devin vs Jupyter
- Devin vs LangChain
- Devin vs Pinecone
- Devin vs Python
- Devin vs PyTorch
- Devin vs scikit-learn
- Devin vs Apache Spark MLlib
- Devin vs Weaviate
- Devin vs Weights & Biases
- Devin vs Alteryx
- Devin vs Anaconda
- Devin vs Cursor
- Devin vs Windsurf
- Devin vs Zed
- Devin vs Amp
- Devin vs Braintrust
- Devin vs Codacy
- Devin vs DeepSource
- Devin vs SonarQube Cloud
- Devin vs Augment Code
- Devin vs Baseten
- Devin vs Drizzle ORM
- Devin vs Flagsmith
- Devin vs Unleash
- Devin vs Bun
- Devin vs Cline
- Devin vs Factory
- Devin vs Humanloop
- Devin vs Langfuse
