LLM Status vs MLflow: Pricing and Ratings Compared (2026)
Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for LLM Status and MLflow side by side. This page compares data; it is not a hands-on review.
On the data: On the data below the two are close or not directly comparable, so we do not name a winner for this pair.
Short on time? Here's the quick answer
Based on published vendor pricing and features and on public review data, here's who should pick what:
LLM Status
Find and track AI model IDs in your codebase and infra
Best for you if:
- • You want free and local-first: the CLI runs with no account, no API key, and nothing uploaded
MLflow
Manage your ML lifecycle: track, register, and deploy models
Best for you if:
- • You want a fully free tool (LLM Status requires payment)
| At a Glance | LLM Status | MLflow |
|---|---|---|
Starts at | Free plan | Free 100% free |
Category | Developer Tools DevOps | Analytics Developer Tools |
Rating | n/a | 4.3/5 SourceForge 4.3 67 reviews |
Free plan | Yes | Yes |
Choose LLM Status or MLflow?
Choose LLM Status if
- You want free and local-first: the CLI runs with no account, no API key, and nothing uploaded
- You want catches deprecated or retired model IDs before they break production
- You work in developer tools, not analytics
Choose MLflow if
- You want a fully free tool (LLM Status requires payment)
- You want open source
- You want experiment tracking
- You work in analytics, not developer tools
In-Depth Analysis
LLM Status
Find and track AI model IDs in your codebase and infra
The pricing for LLM Status is exceptionally generous, especially the Lifetime tier at $29.
Strengths
- Pro: Free and local-first: the CLI runs with no account, no API key, and nothing uploaded.
- Pro: Catches deprecated or retired model IDs before they break production.
- Pro: Scans many sources (code, Vercel, Supabase, GitHub Actions, AWS Lambda, Kubernetes) and plugs into GitHub PRs.
Weaknesses
- Con: Alert channels beyond email/in-app (Slack, SMS, webhook) and unlimited tracking need the paid plan.
- Con: Lifecycle coverage depends on the model registry, so brand-new or private/self-hosted models may not have dates yet.
Key features
MLflow
Manage your ML lifecycle: track, register, and deploy models
MLflow's open-source offering is exceptionally generous, being completely free ($0) for self-hosting.
Strengths
- Pro: Open source
- Pro: Experiment tracking
- Pro: Model registry
- Pro: Deployment support
- Pro: Self-hostable
Weaknesses
- Con: UI basic
- Con: Scale limitations
- Con: Setup required
- Con: Databricks dependency growing
- Con: Less modern feel
Key features
Plans and prices: LLM Status vs MLflow
| Tool | Plans and prices | Source |
|---|---|---|
| LLM Status |
| llmstatus.ai read Oct 17, 2026 |
| MLflow |
| mlflow.org read Sep 30, 2026 |
Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on LLM Status pricing and MLflow pricing.
Key Takeaways
LLM Status
- Choose if you want find and track AI model IDs in your codebase and infra
MLflow
- Choose if you want manage your ML lifecycle: track, register, and deploy models
What the data shows
On the data below the two are close or not directly comparable, so we do not name a winner for this pair.
- Only MLflow has a published user rating (4.3/5 from 67 reviews); LLM Status has none we can show.
- Both have a free plan.
Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate
Frequently Asked Questions
How do LLM Status and MLflow compare in 2026?
On the data below the two are close or not directly comparable, so we do not name a winner for this pair. Only MLflow has a published user rating (4.3/5 from 67 reviews); LLM Status has none we can show. Both have a free plan.
What are LLM Status and MLflow used for?
LLM Status: Find and track AI model IDs in your codebase and infra. MLflow: Manage your ML lifecycle: track, register, and deploy models.
What does LLM Status cost vs MLflow?
LLM Status has no public paid-plan price on file. MLflow is free. Prices read on the vendors' pricing pages, latest check Oct 17, 2026.
What's the main difference between LLM Status and MLflow?
LLM Status's main strength: free and local-first: the CLI runs with no account, no API key, and nothing uploaded. MLflow's main strength: open source.