Software Development · head to head
Amp vs Weights & Biases

Weights & Biases
Machine Learning
Developer tools for machine learning
- From
- Free
- Rated
- -
The short version
- Only Weights & Biases has a free tier, so it costs nothing to try first.
- Each has a real cost: Amp minimum $20/month subscription cost with limited orb hours (750); Weights & Biases pricing can be prohibitive for large teams without enterprise discounts
Where they differ
Only the attributes on which Amp and Weights & Biases actually diverge.
| Attribute | Amp | Weights & Biases |
|---|---|---|
| Starting price | $20/monthly | Free |
| Pricing model | subscription | Unknown |
| Free tier | No | Yes |
| Platforms | Web | Web, Python SDK, REST API |
| Category | Software Development | Machine Learning |
| Founded | Unknown | 2017 |
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 Amp
Nothing recorded that Weights & Biases does not also cover.
Only in Weights & Biases
- Experiment tracking
- Dataset versioning
- Model registry
- Hyperparameter sweeps
- Collaborative dashboards
- PyTorch
- TensorFlow
- Keras
What people use each for
The jobs each tool is most often brought in to do.
Amp
No use cases recorded yet. See the Amp review.
Weights & Biases
- Machine learningnot Amp
- Data analysisnot Amp
- Model trainingnot Amp
- Predictive analyticsnot Amp
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Amp
- Minimum $20/month subscription cost with limited orb hours (750)
- High-tier Gigawatt plan at $200/month required for ultra mode agents
- Usage limits apply after included quotas are consumed each month
- Each user limited to maximum of 2 simultaneous subscriptions
Weights & Biases
- Pricing can be prohibitive for large teams without enterprise discounts
- Limited integrations compared to some competitors
- Dashboard customization options limited on lower plans
- Requires some setup and configuration knowledge
Pricing, plan by plan
Amp
$20/monthly- Megawatt$20/monthly
- All product features
- 750 hours of orbs
- Use your ChatGPT subscription
- Gigawatt$200/monthly
- Everything in Megawatt plus: 1
- 000 hours of xxlarge orbs
- $200 included agent usage
- Education Discount$10/monthly
- For students and teachers: full access at $10/month (50% off Megawatt)
- Unconstrained$undefined/usage
- Pay for what you use at standard rates
- all agent modes
- API pricing for model tokens and orbs
Weights & Biases
Free- FreeFree
- 5 model seats
- 5 GB storage
- 1 GB/month Weave ingestion
- Pro$60/month
- 10 seats
- 100 GB storage
- Private projects
- Teams$179/month
- Team collaboration
- Advanced analytics
- Dedicated support
Which should you pick?
Choose Amp if
Nothing in the data separates Amp from Weights & Biases on the points above - pick on price and on how each one feels to use.
Choose Weights & Biases if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Python SDK, REST API.
- You also want dataset versioning.
Questions people ask
- Is Amp or Weights & Biases better?
- Neither clearly leads. Amp starts at $20/monthly and Weights & Biases at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Amp or Weights & Biases?
- Weights & Biases has a free tier; the other does not. Paid plans start at $20/monthly for Amp and Free for Weights & Biases.
- Does Amp or Weights & Biases run on more platforms?
- Amp runs on Web. Weights & Biases runs on Web, Python SDK, REST API.
- Can I use Weights & Biases for free?
- Yes. Weights & Biases has a free tier, so you can try it without paying. Amp starts at $20/monthly.
- What can Amp do that Weights & Biases cannot?
- Weights & Biases covers Experiment tracking, Dataset versioning, Model registry, Hyperparameter sweeps.
Answered from the vendors’ own pages
Amp: How much does Amp cost per month?
Amp offers two main monthly plans: Megawatt at $20/month (750 hours of orbs) and Gigawatt at $200/month (1,000 hours of xxlarge orbs). Students and teachers get a 50% education discount ($10/month). Source: https://ampcode.com/pricing
SourceWeights & Biases: Does Weights & Biases have a free plan?
Yes. The Free tier includes 5 model seats, 5 GB storage, and 1 GB/month Weave ingestion. Academic users get unlimited tracked hours, 200 GB storage, and 100 seats at no cost.
SourceAmp: What usage is included in Amp subscriptions?
At minimum, Amp subscriptions include agent usage equal to the subscription cost per month. Depending on usage patterns, you may receive additional usage beyond the base guarantee. Megawatt includes 750 orb hours and Gigawatt includes 1,000 hours of xxlarge orbs.
SourceWeights & Biases: What are the paid plans for Weights & Biases?
Pro starts at $60/month with 10 seats and 100 GB storage. Team plans start at $179/month. Enterprise pricing is custom.
SourceAmp: Can I use my own ChatGPT subscription with Amp?
Yes, Amp subscribers who link a ChatGPT subscription pay no per-token fees and can use as many tokens as their third-party subscription allows, making it ideal for users who already have ChatGPT access.
SourceWeights & Biases: What machine learning features does W&B provide?
Weights & Biases captures hyperparameters, metrics, and model outputs automatically. Features include experiment tracking, interactive Reports for sharing findings, Artifacts for managing datasets and models, advanced hyperparameter sweeps, and model deployment tools.
SourceRelated pages
More on Weights & Biases
Other head to heads
- Amp vs Cursor
- Amp vs Windsurf
- Amp vs Zed
- Amp vs Braintrust
- Amp vs Codacy
- Amp vs DeepSource
- Amp vs Devin
- Amp vs SonarQube Cloud
- Amp vs Augment Code
- Amp vs Baseten
- Amp vs Drizzle ORM
- Amp vs Flagsmith
- Amp vs Unleash
- Amp vs Bun
- Amp vs Cline
- Amp vs Factory
- Amp vs Humanloop
- Amp vs Langfuse
- Amp vs AWS SageMaker
- Amp vs Google Vertex AI
- Amp vs Azure Machine Learning
- Amp vs DataRobot
- Amp vs MLflow
- Amp vs Snowflake
- Amp vs TensorFlow
- Amp vs Comet ML
- Amp vs Jupyter
- Amp vs LangChain
- Amp vs Pinecone
- Amp vs Python
- Amp vs PyTorch
- Amp vs scikit-learn
- Amp vs Apache Spark MLlib
- Amp vs Weaviate
- Amp vs Alteryx
- Amp vs Anaconda
- Weights & Biases vs Cursor
- Weights & Biases vs Windsurf
- Weights & Biases vs Zed
- Weights & Biases vs Braintrust
- Weights & Biases vs Codacy
- Weights & Biases vs DeepSource
- Weights & Biases vs Devin
- Weights & Biases vs SonarQube Cloud
- Weights & Biases vs Augment Code
- Weights & Biases vs Baseten
- Weights & Biases vs Drizzle ORM
- Weights & Biases vs Flagsmith
- Weights & Biases vs Unleash
- Weights & Biases vs Bun
- Weights & Biases vs Cline
- Weights & Biases vs Factory
- Weights & Biases vs Humanloop
- Weights & Biases vs Langfuse
- Weights & Biases vs AWS SageMaker
- Weights & Biases vs Google Vertex AI
- Weights & Biases vs Azure Machine Learning
- Weights & Biases vs DataRobot
- Weights & Biases vs MLflow
- Weights & Biases vs Snowflake
- Weights & Biases vs TensorFlow
- Weights & Biases vs Comet ML
- Weights & Biases vs Jupyter
- Weights & Biases vs LangChain
- Weights & Biases vs Pinecone
- Weights & Biases vs Python
- Weights & Biases vs PyTorch
- Weights & Biases vs scikit-learn
- Weights & Biases vs Apache Spark MLlib
- Weights & Biases vs Weaviate
- Weights & Biases vs Alteryx
- Weights & Biases vs Anaconda
