Machine Learning · head to head
Comet ML vs Factory
Comet ML
Machine Learning
Platform for tracking, comparing, and optimizing ML experiments
- From
- Free
- Rated
- -
Factory
Software Development
The autonomy stack for enterprise teams
- From
- $20/month
- 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; Factory business and Enterprise plans require direct sales contact for pricing
Where they differ
Only the attributes on which Comet ML and Factory 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 Factory
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 Factory
- AI agent testing and debuggingnot Factory
- Experiment tracking for machine learningnot Factory
- Model registry and version managementnot Factory
- ML model training monitoringnot Factory
Factory
- AI agent development and deploymentnot Comet ML
- Multi-platform automationnot Comet ML
- Background task executionnot Comet ML
- Agent orchestrationnot 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
Factory
- Business and Enterprise plans require direct sales contact for pricing
- Individual plans (Pro, Plus, Max) have limited feature details
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
Factory
$20/month- Pro$20/month
- Agent-native multi-platform experience
- Desktop, CLI, and SDK access
- Cloud and local background agents
- Plus$100/month
- Everything in Pro
- Approximately 5x usage limits
- Droid Computers for remote agents
- Max$200/month
- Everything in Plus
- Approximately 10x usage limits
- Early access to new features
- Business$null/mo
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 Factory if
Nothing in the data separates Factory from Comet ML on the points above - pick on price and on how each one feels to use.
Questions people ask
- Is Comet ML or Factory better?
- Neither clearly leads. Comet ML starts at Free and Factory at $20/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Comet ML or Factory?
- Comet ML has a free tier; the other does not. Paid plans start at Free for Comet ML and $20/month for Factory.
- Does Comet ML or Factory run on more platforms?
- Comet ML runs on Web, Linux, Mac, Windows. Factory runs on Web.
- Can I use Comet ML for free?
- Yes. Comet ML has a free tier, so you can try it without paying. Factory starts at $20/month.
- 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 Factory is typically brought in for.
- What can Comet ML do that Factory 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.
SourceFactory: What is Factory.ai's pricing?
Factory.ai offers individual plans starting at USD$20 per month for Pro, USD$100 per month for Plus, and USD$200 per month for Max. Team plans including Business and Enterprise tiers are available at custom pricing based on the number of seats required.
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.
SourceFactory: What are the usage limits for each plan?
The Pro plan is the baseline tier. Plus provides approximately 5 times the usage limits of Pro, while Max provides approximately 10 times the usage limits of Pro. Exact usage limits are not specified on the pricing page.
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.
SourceFactory: What AI models are included with Factory.ai?
All Factory.ai plans include access to GPT-5, Claude Opus and Sonnet, Google Gemini, and open-weight models. Business and Enterprise plans also include dedicated compute with partitioned inference and options for on-premise deployment.
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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- Factory vs AWS SageMaker
- Factory vs Google Vertex AI
- Factory vs Azure Machine Learning
- Factory vs DataRobot
- Factory vs MLflow
- Factory vs Snowflake
- Factory vs TensorFlow
- Factory vs Jupyter
- Factory vs LangChain
- Factory vs Pinecone
- Factory vs Python
- Factory vs PyTorch
- Factory vs scikit-learn
- Factory vs Apache Spark MLlib
- Factory vs Weaviate
- Factory vs Weights & Biases
- Factory vs Alteryx
- Factory vs Anaconda
- Factory vs Cursor
- Factory vs Windsurf
- Factory vs Zed
- Factory vs Amp
- Factory vs Braintrust
- Factory vs Codacy
- Factory vs DeepSource
- Factory vs Devin
- Factory vs SonarQube Cloud
- Factory vs Augment Code
- Factory vs Baseten
- Factory vs Drizzle ORM
- Factory vs Flagsmith
- Factory vs Unleash
- Factory vs Bun
- Factory vs Cline
- Factory vs Humanloop
- Factory vs Langfuse