Keras vs MLServer
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Keras starts at Free and MLServer starts at Free. Check both pricing pages for current plans.
At a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Multi-backend support
- Functional and sequential APIs
- KerasHub pretrained models
- KerasTuner hyperparameter search
- Keras RS recommenders
- REST and gRPC endpoints
- V2 Inference Protocol
- Multi-model serving
- Adaptive batching
- Prebuilt framework runtimes
- Custom runtimes
| Feature | Keras | MLServer |
|---|---|---|
| Best for | Open-source deep learning library that runs on JAX, PyTorch and TF | Open-source Python server for serving ML models over REST and gRPC |
| Category | Models & APIs | Models & APIs |
| Pricing model | Free | Free |
| Starting price | Free | Free |
| Free plan | Yes, fully free | Yes, fully free |
| Made by | Keras team at Google | Seldon |
| Based in | United States | United Kingdom |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Keras starts at Free and MLServer starts at Free. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
Prices in USD, checked Oct 29, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Keras
- Free and open source
- Same code runs on three backends
- Pretrained models in KerasHub
- Thorough docs and examples
- Requires Python and ML knowledge
- Very custom research may need raw framework code
- No hosted training service
MLServer
- Standard protocol shared with KServe
- Wide range of ML framework runtimes
- Installs with pip
- Python 3.13 is not yet supported
- Docs page shows few recent updates
- Needs Kubernetes tooling for scaled deployments
Which one should you choose?
Choose Keras if you want:
- Free and open source
- Same code runs on three backends
- Pretrained models in KerasHub
Watch out: requires python and ml knowledge.
Choose MLServer if you want:
- Standard protocol shared with KServe
- Wide range of ML framework runtimes
- Installs with pip
Watch out: python 3.13 is not yet supported.
Keras vs MLServer FAQ
What is the difference between Keras and MLServer?
Keras: Open-source deep learning library that runs on JAX, PyTorch and TF. MLServer: Open-source Python server for serving ML models over REST and gRPC. Both are models & apis tools.
Is Keras or MLServer cheaper?
Keras starts at Free and MLServer starts at Free. Check both pricing pages for current plans.
Do Keras and MLServer have free plans?
Keras: Yes, fully free. MLServer: Yes, fully free.
Who makes Keras?
Keras is made by Keras team at Google, based in United States.
Who makes MLServer?
MLServer is made by Seldon, based in United Kingdom.
Which should I choose, Keras or MLServer?
Choose Keras if you value free and open source and same code runs on three backends. Choose MLServer if you value standard protocol shared with kserve and wide range of ml framework runtimes.