vioscaleAI
Comparison

Baseten vs ZenML

On the evidence we track, Baseten leads this comparison with a composite score of 77/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Baseten full profile →ZenML full profile →
Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
★Baseten77
ZenML61
Score
vioscaleAI score
Baseten77 / 100medium · 72%
ZenML61 / 100medium · 52%
Pricing
Free tier
Baseten✓
ZenML✓
Model
Basetenfreemium
ZenMLcommercial
Price level
Basetenlow
ZenMLlow
Transparent
Baseten✓
ZenML✗
Integrations
Count
Baseten6
ZenML60
Security
Certifications
Disclosure policy
Baseten✓
ZenML–
Gdpr
Baseten✓
ZenML–
Hipaa
Baseten✓
ZenML–
Iso27001
Baseten–
ZenML✓
Pci
Baseten✓
ZenML–
Scorecard
Baseten–
ZenML6.8
Soc2
Baseten✓
ZenML✓
Trust center
Vulnerabilities
Reliability
Sla pct
Baseten99.99
ZenML–
Status page
Baseten✓
ZenML✓
Adoption
Dependent repos
Baseten–
ZenML44
Github stars
Baseten–
ZenML5,615
Activity
Commits last 30d
Baseten–
ZenML41
Release
Cadence days
Baseten–
ZenML15
History
Baseten–
ZenML20 items
License
Spdx
Baseten–
ZenMLApache-2.0
Language
Primary
Baseten–
ZenMLPython
Market
Availability
Content
Faq
Baseten7 items
ZenML7 items

Capabilities

Feature-by-feature on the axes that matter for mlops & llmops tools. “-” means undocumented, not absent.

Core
Tool role
BasetenModel serving
ZenMLEnd-to-end ML platform
Deployment
Self-hostable / OSS core
Baseten✓
ZenML✓
Managed cloud available
Baseten✓
ZenML✓
On-prem / VPC deployment
Baseten✓
ZenML✓
Observability
LLM tracing / observability
Baseten✓
ZenML✓
Evaluation (offline / LLM-judge / human)
Baseten✗
ZenML✓
Dev
Prompt management + versioning
Baseten✗
ZenML✓
Tracking
Experiment tracking / model registry
Baseten✓
ZenML✓
Serving
Model serving / inference endpoint
Baseten✓
ZenML✓
Interop
OpenTelemetry / OpenLLMetry compatible
Baseten✗
ZenML✓
Framework-agnostic
Baseten✓
ZenML✓
Gateway
Multi-provider model support
Baseten✓
ZenML✓
Data
No-train-on-customer-data guarantee
Baseten-
ZenML-

What each one is

The product in its own terms, so the numbers below have context.

Baseten

Leader

An infrastructure platform that handles serving, optimizing, and scaling machine learning models across multiple clouds. Offers both managed cloud and self-hosted deployment options with built-in performance tuning, autoscaling, and 99.99% uptime reliability.

Independently observed

ZenML

ZenML is a Python-based orchestration framework that manages machine learning pipelines and agents across any infrastructure, from local development to production Kubernetes clusters. It provides centralized artifact management, automated tracking and versioning, and enterprise-grade security compliance for reproducible AI systems.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Baseten

Leader
Usage-basedFree tier

Pay-as-you-go model inference starting free. Model API pricing from $0.10–$4.40 per 1M tokens. GPU instances from $0.00058–$0.16633 per hour.

  • BasicFree
    • Dedicated deployments
    • Model APIs
    • Training
    • Fast cold starts
    • SOC 2 Type II and HIPAA compliant
    • +1 more
  • ProContact sales
    • Priority access to high-demand GPUs
    • Dedicated compute
    • Higher Model API rate limits
    • Hands-on engineering expertise
    • Dedicated support on Slack and Zoom
    • +1 more
  • EnterpriseContact sales
    • Custom SLAs
    • Self-host deployments
    • On-demand flex compute
    • Use existing cloud commitments
    • Full control over data residency
    • +4 more
as of verify ↗

ZenML

HybridFree tier

Free open-source version; managed Pro service available

  • CommunityFree
    • experiment tracking
    • pipeline orchestration
    • artifact storage
    • model versioning
  • ProManaged service pricing not specified
    • managed control plane
    • governance
    • SSO
    • SLA support
    • audit trails
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Baseten✓
ZenML✗
macOS
Baseten✗
ZenML✓
Windows
Baseten✗
ZenML✓
Linux
Baseten✗
ZenML✓
CLI
Baseten✓
ZenML✓
Deployment
Cloud / SaaS
Baseten✓
ZenML✓
Self-hosted
Baseten✓
ZenML✓
On-premise
Baseten✓
ZenML✗
Hybrid
Baseten✓
ZenML✓

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

Baseten

Leader
9 total
  • Plotly
  • OpenAI-compatible endpoint
  • Truss
  • SageMaker
  • ComfyUI
  • Exa
  • Keenable
  • Parallel
  • You.com
Independently observed

ZenML

26 total
  • Git
  • GitHub
  • GitLab
  • Kubernetes
  • Docker
  • Poetry
  • Slack
  • ClickUp
  • MLflow
  • Databricks
  • Trackio
  • OpenAI
  • LangGraph
  • PyTorch
  • scikit-learn
  • Hugging Face
  • LlamaIndex
  • PyTorch Lightning
  • Axolotl
  • AzureML
  • AWS
  • Google Cloud
  • Azure
  • DigitalOcean
  • +2 more
Independently observed
Still deciding?

Baseten or ZenML: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.