vioscale
Comparison

Baseten vs MLflow

On the evidence we track, Baseten leads this comparison with a composite score of 83/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Baseten full profile →MLflow full profile →
Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Attribute comparison across 2 tools
Attribute83BasetenLeader79MLflow
Vioscale score83 / 100low · 47%79 / 100low · 47%
Commits last 30d-100
Github stars-27,317
Package downloads weekly-9,366,011
Options{"cloud":true,"hybrid":true,"on_prem":true,"self_hosted":true}{"self_hosted":true}
LongAn inference platform for deploying open-source, custom, and fine-tuned AI models in production with high-performance infrastructure, cross-cloud availability, and seamless developer workflows.Open source platform for debugging, evaluating, monitoring, and optimizing AI agents and LLM applications with production-grade tracing, evaluation, prompt management, and experiment tracking. Also supports full machine learning lifecycle management including model training and deployment.
Capabilities{"role":"serving","managed_cloud":true,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"framework_agnostic":true}{"role":"framework","evaluation":true,"managed_cloud":false,"model_serving":true,"self_hostable":true,"multi_provider":true,"vpc_deployment":true,"otel_compatible":true,"llm_observability":true,"prompt_management":true,"framework_agnostic":true,"experiment_tracking":true}
Count-3
List-[{"name":"OpenTelemetry"},{"name":"LLM providers (any)"},{"name":"Agent frameworks (any)"}]
Primary-Python
Spdx-Apache-2.0
Support{"cli":true,"web":true}{"cli":true,"web":true}
Pricing{"type":"usage","plans":[{"free":true,"name":"Basic","summary":"$0/month base + usage","features":["Dedicated deployments","Model APIs","Training","Fast cold starts","SOC 2 Type II certified","HIPAA compliant","Email and in-app chat support"],"description":"Deploy custom, fine-tuned, and open-source models with dedicated deployments, Model APIs, training, and SOC 2 Type II and HIPAA compliance.","contactSales":false},{"free":false,"name":"Pro","summary":"Volume discounts available","features":["Everything in Basic","Priority access to high-demand GPUs","Dedicated compute","Higher Model API rate limits","Hands-on engineering expertise","Dedicated Slack and Zoom support"],"description":"Everything in Basic plus priority GPU access, dedicated compute, higher Model API rate limits, engineering expertise, and dedicated support.","contactSales":true},{"free":false,"name":"Enterprise","summary":"Volume discounts available","features":["Everything in Pro","Custom SLAs","Self-hosted deployments","On-demand flex compute","Use existing cloud commitments","Full data residency control","Advanced security and compliance","Custom global regions","Advanced RBAC with Teams"],"description":"Everything in Pro plus custom SLAs, self-hosted deployments, on-demand flex compute, data residency control, advanced security, and custom global regions.","contactSales":true}],"summary":"Pay-as-you-go from $0/month. Free credits for new accounts. Model API pricing from $0.10–$3.00 per 1M input tokens depending on model; compute instances from $0.00058–$0.16633 per minute.","currency":"USD","freeTier":true,"sourceUrl":"https://baseten.co","retrievedAt":"2026-08-03T22:45:11.653Z","billingPeriods":["month"]}{"type":"open_source","freeTier":true,"sourceUrl":"https://mlflow.org","retrievedAt":"2026-08-01T15:18:38.042Z"}
Free tierYesYes
Modelcommercialcommercial
Price levellowfree
TransparentYesYes
Cadence days-10
Sla pct99.99-
Status pageYes-
Disclosure policyYes-
GdprYes-
HipaaYes-
PciYes-
Soc2Yes-

Capabilities

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

Capability comparison for MLOps & LLMOps Tools
CapabilityBasetenMLflow
Core
Tool roleModel servingAgent / RAG framework
Deployment
Self-hostable / OSS core✓✓
Managed cloud available✓✗
On-prem / VPC deployment✓✓
Observability
LLM tracing / observability-✓
Evaluation (offline / LLM-judge / human)-✓
Dev
Prompt management + versioning-✓
Tracking
Experiment tracking / model registry-✓
Serving
Model serving / inference endpoint✓✓
Interop
OpenTelemetry / OpenLLMetry compatible-✓
Framework-agnostic✓✓
Gateway
Multi-provider model support✓✓
Data
No-train-on-customer-data guarantee--

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