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MLflow Pricing, Plans, and Availability

#1 in MLOps Platforms

by MLflow · mlflow.org ↗

Open-source platform for experiment tracking, model packaging, registry, and deployment workflows.

#1MLOps PlatformsMid-market
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Pricing at a glance

◇ Pricing model

Open source with self-hosted infrastructure costs; some AI Gateway governance and budgeting capabilities are documented without a public list price.

↻ Billing notes

MLflow does not publish a standard monthly or annual software subscription on the provided official pages. The official site presents MLflow as forever free and open source under Apache 2.0, while the gateway budget documentation describes daily, weekly, and monthly budget windows plus alert and reject actions. No public trial length, seat minimum, renewal rule, or discount schedule is disclosed in the supplied documents. For deployment, the documents indicate teams may self-host the stack and manage related infrastructure themselves.

Plans and pricing

2 tiers

MLflow core platform

Not publicly disclosed
Free
  • Experiment tracking
  • Model packaging
  • Model registry
  • Deployment workflows
  • Observability for LLM applications and agents
  • Prompt management and optimization

The official site describes MLflow as 100% open source under Apache 2.0 and says it is forever free. Public documents do not disclose a subscription fee, seat minimum, or tiered software license pricing.

MLflow AI Gateway budget policies

Not publicly disclosed
Not publicly disclosed
  • Budget alerts
  • Reject policies with HTTP 429 responses
  • Alert webhooks
  • Daily, weekly, and monthly reset windows
  • Workspace-scoped budget enforcement
  • Local or Redis budget tracking

The documents describe configurable spending thresholds and enforcement behavior, but they do not publish a separate product price for budget policies or a paid add-on fee.

Add-ons and extras

MLflow AI Gateway usage

Not publicly disclosed

The gateway is documented as the control plane for routing, tracing, budget policies, traffic splitting, and fallbacks. The materials explain how to configure endpoints and budgets, but they do not provide a public usage fee, overage rate, or seat-based add-on price.

Hidden and indirect costs

Worth budgeting for
⚠  MLflow’s public materials make clear that the software itself is open source, but they also show that teams may need to budget for the infrastructure required to run it. The comparison content says running MLflow beyond a basic local use case requires setting up a tracking server, a backing database, artifact storage, and authentication yourself. That means the real cost is usually implementation and operations rather than a software license.
⚠  The MLflow article on avoiding runaway agent costs shows that the AI Gateway can reduce cost shock, but it also implies ongoing spend on the underlying model providers. The post explicitly notes that the illustrated costs vary by provider, pricing tier, and token volumes, so your total cost depends heavily on usage patterns and third-party model pricing rather than MLflow list pricing.

What buyers actually pay

A team only needs MLflow’s core experiment tracking, registry, and observability features on a self-hosted stack.

Expected costSoftware: Free. Infrastructure and operational costs: Not publicly disclosed.
Self-hostingTracking server setupBacking databaseArtifact storageAuthentication and access control

A team uses MLflow AI Gateway to manage LLM spend with budget alerts and traffic controls.

Expected costSoftware price: Not publicly disclosed. Total cost depends on underlying model provider usage and token volume.
Provider pricing tierToken volumesBudget window sizeAlert or reject policy usageRedis or local budget tracking deployment

Pricing FAQ

Yes. The official site says MLflow is open source under Apache 2.0 and describes it as forever free, no strings attached. The supplied documents do not show a public paid license for the core platform. However, if you self-host, your organization still pays for infrastructure, maintenance, and any third-party model usage.

Not in the supplied documents. The official pages describe features such as tracing, evaluations, prompt management, and AI Gateway budgets, but they do not provide a public plan table with monthly or annual subscription amounts. If a team is looking for a quoted enterprise package, that is not publicly disclosed in the provided sources.

The gateway documentation says budgets can be set as daily, weekly, or monthly thresholds, and the system can either alert via webhook or reject subsequent requests with HTTP 429. The docs also note that budgets can be scoped to workspaces and tracked locally or through Redis. Public pricing for these controls is not disclosed.

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