Machine Learning · head to head
Neptune.ai vs Replicate
The short version
- Each has a real cost: Neptune.ai free tier limited to 100 hours per month, exhausted quickly with serious ML work; Replicate private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
- They diverge on capability: Neptune.ai covers Experiment tracking, Replicate covers Model hosting.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Neptune.ai and Replicate actually diverge.
| Attribute | Neptune.ai | Replicate |
|---|---|---|
| Pricing model | Unknown | usage-based |
| Platforms | Web, Self-hosted | Api, Cloud |
| Category | Machine Learning | AI |
| Founded | 2017 | 2019 |
Identical on both: starting price (Free), free tier (Yes), 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 Neptune.ai
- Experiment tracking
- Model registry
- Metadata logging
- Comparison views
- Custom dashboards
- PyTorch
- TensorFlow
- Keras
Only in Replicate
- Model hosting
- Simple API
- Auto-scaling
- Custom models
- REST API
- Python client
- JavaScript client
- Api support
What people use each for
The jobs each tool is most often brought in to do.
Neptune.ai
- Machine learningnot Replicate
- Data analysisnot Replicate
- Model trainingnot Replicate
- Predictive analyticsnot Replicate
Replicate
- Running open source machine learning models through a hosted API without managing GPUsnot Neptune.ai
- Deploying and serving a custom or fine tuned model on rented GPU hardwarenot Neptune.ai
- Per second billed batch image, video and language model inferencenot Neptune.ai
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Neptune.ai
- Free tier limited to 100 hours per month, exhausted quickly with serious ML work
- Lacks hyperparameter sweeps compared to Weights and Biases
- No pipeline orchestration or broader MLOps lifecycle management
- Dashboard visualization limitations - automatic resizing affects visualization order and size
- Cloud-based SaaS only (as of last available service) requires internet connectivity
Replicate
- Private model deployments are billed for all the time instances are online, including setup and idle time, not only for processing
- Multi-GPU A100, H100, H200 and L40S capacity beyond the listed configurations is only available with a committed spend contract
- The pricing page publishes no free tier allowance
Pricing, plan by plan
Neptune.ai
FreeNo published plan breakdown. See the Neptune.ai review.
Replicate
Free- Pay-as-you-go$null/usage
- Billed by execution time for public models
- CPU Small: $0.000025/second ($0.09/hour)
- 8x Nvidia A100 GPUs: $0.0112/second ($40.32/hour)
- Enterprise$null/custom
- Dedicated account manager
- Priority support
- Higher GPU limits
Which should you pick?
Choose Neptune.ai if
- You need experiment tracking.
- You want to start without paying.
- You work on Web, Self-hosted.
- You also want model registry.
Choose Replicate if
- You need model hosting.
- You want to start without paying.
- You work on Api, Cloud.
- You also want simple api.
Questions people ask
- Is Neptune.ai or Replicate better?
- Neither clearly leads. Neptune.ai starts at Free and Replicate at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Neptune.ai or Replicate?
- Neptune.ai starts at Free and Replicate at Free.
- Does Neptune.ai or Replicate run on more platforms?
- Neptune.ai runs on Web, Self-hosted. Replicate runs on Api, Cloud.
- Can I use Neptune.ai for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Neptune.ai best used for?
- Neptune.ai is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what Replicate is typically brought in for.
- What can Neptune.ai do that Replicate cannot?
- Neptune.ai covers Experiment tracking, Model registry, Metadata logging, Comparison views. Replicate covers Model hosting, Simple API, Auto-scaling, Custom models.
Answered from the vendors’ own pages
Neptune.ai: Does Neptune.ai support self-hosting?
Yes. Neptune can be self-hosted on a Kubernetes cluster with ClickHouse, MySQL, and Redis dependencies, allowing organizations to maintain full data control.
SourceReplicate: How much does Replicate cost?
Replicate uses pay-as-you-go pricing based on model execution time and compute type. Costs range from $0.09/hour for CPU (Small) to $40.32/hour for 8x Nvidia A100 GPUs. Some models charge per input/output tokens instead of time.
SourceNeptune.ai: What machine learning frameworks does Neptune integrate with?
Neptune integrates with PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Hugging Face Transformers, and Optuna for hyperparameter optimization.
SourceReplicate: Does Replicate offer a free tier?
Yes, Replicate is free to start with pay-as-you-go pricing. There are no subscription tiers or minimum commitments; you pay only for what you use.
SourceNeptune.ai: What is the cost for a team of 10 data scientists?
Neptune's Team plan costs $49 per user per month, resulting in $490/month for 10 users, comparable to Weights and Biases at $50/user.
SourceReplicate: What is the difference between public and private models?
Public models are billed by execution time. Private models are billed for all instance uptime including setup, idle, and active processing time, except for fast-booting fine-tunes which are billed only during active processing.
SourceNeptune.ai: When is Neptune.ai shutting down?
Neptune.ai is shutting down its external SaaS service on March 5, 2026, following its acquisition by OpenAI in December 2025. Customers must export and migrate data before that date.
SourceRelated pages
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