LLM Status

Name: LLM Status
Brand: LLM Status

Claimed

Find and track AI model IDs in your codebase and infra

Free plan available

Freemium Developer Tools DevOps Terminal Tools

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Tracked since 2026

Verified vendor

The Bottom Line

Updated Oct 17, 2026

Price: Free plan available. Compare plans

Key facts

Finds every AI model ID used across your code and infrastructure.
Tracks provider deprecation and retirement dates and warns you before one breaks.
Free CLI and terminal dashboard, no account needed; optional cloud alerts via email, Slack, SMS, webhook, and GitHub PR checks.

Pros

Free and local-first: the CLI runs with no account, no API key, and nothing uploaded.
Catches deprecated or retired model IDs before they break production.
Scans many sources (code, Vercel, Supabase, GitHub Actions, AWS Lambda, Kubernetes) and plugs into GitHub PRs.

Cons

Alert channels beyond email/in-app (Slack, SMS, webhook) and unlimited tracking need the paid plan.
Lifecycle coverage depends on the model registry, so brand-new or private/self-hosted models may not have dates yet.

What is LLM Status?

LLM Status (llmstatus.ai) scans your codebase and infrastructure, filesystem, Vercel, Supabase, GitHub Actions and more, to find every AI model ID in use. It tracks provider deprecation and retirement dates and warns you before a model you depend on is removed. It runs as a free CLI and terminal dashboard with no account required; optional cloud sync adds email, Slack, SMS and webhook alerts plus GitHub pull-request checks.

Data compiled by Toolradar Pricing checked Oct 17, 2026 · How we evaluate

Source llmstatus.ai

Preview

Key Features

Scans code and infrastructure (filesystem, Vercel, Supabase, GitHub Actions, AWS Lambda, Kubernetes) for the AI model IDs in use
Tracks deprecation and retirement dates for models across AI providers in a continuously updated registry
Sends alerts before a model you use is retired, via email, Slack, SMS, or webhook
Free CLI and terminal dashboard that runs with no account, no API key, and nothing uploaded
GitHub pull-request checks that flag dying models and can open a fix PR with the replacement

Pricing Plans

Pricing checked Oct 17, 2026. Source: llmstatus.ai, read Oct 17, 2026

LLM Status plans and prices, checked October 2026
Plan	Price	Details
Free	$0	CLI with no account required Free CLI and terminal dashboard, nothing uploaded Free account adds 1 project, 15 tracked usages, and email + in-app alerts
Pro	$5/year	Unlimited tracking and all alert channels Unlimited projects and tracked usages Slack, SMS and webhook alerts plus GitHub PR checks and fix PRs
Lifetime	$29/one-time	Pay once, Pro features forever All Pro features with a single one-time payment, no renewal

Calculate your cost View full pricing

Is LLM Status worth the price?

Great value

The pricing for LLM Status is exceptionally generous, especially the Lifetime tier at $29.

The Free tier offers significant utility for individual developers, while the Pro tier at $5/year is remarkably affordable for unlimited features. This pricing is best for individual developers and small teams looking for cost-effective LLM deprecation monitoring.

Full LLM Status pricing: every plan, hidden costs and alternatives

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Still deciding?

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

All LLM Status alternatives 6+ tools ranked, pricing + verdict per pick LLM Status vs MLflow Head-to-head: features, pricing, who wins LLM Status vs HashiCorp Vault Head-to-head: features, pricing, who wins LLM Status vs Checkly Head-to-head: features, pricing, who wins

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LLM Status FAQ

How does LLM Status help developers avoid production issues?

LLM Status scans codebases and infrastructure to identify AI model IDs in use, tracking provider deprecation and retirement dates. It warns users before a model they depend on is removed, preventing potential breaks in production systems.

Which teams benefit most from using LLM Status?

Teams involved in Developer Tools and DevOps can greatly benefit from LLM Status. It helps maintain the stability of applications relying on AI models by proactively managing model lifecycle changes.

How is LLM Status priced?

LLM Status is available on a free tier, which includes the CLI and terminal dashboard without requiring an account. Paid plans offer additional usage and features, such as advanced alert channels and unlimited tracking.

What kind of limitations should users be aware of with LLM Status?

Alert channels beyond email and in-app notifications, such as Slack, SMS, and webhooks, require a paid plan. Additionally, lifecycle coverage for brand-new or private/self-hosted models may be limited if they are not yet included in the model registry.

Can LLM Status integrate with existing development workflows?

Yes, LLM Status scans various sources including code, Vercel, Supabase, GitHub Actions, AWS Lambda, and Kubernetes. It also offers optional cloud sync to plug into GitHub pull-request checks, providing alerts directly within development workflows.

How does LLM Status compare to MLflow for tracking AI models?

LLM Status specifically focuses on finding and tracking AI model IDs within your codebase and infrastructure to warn about deprecation. MLflow, in contrast, provides a platform for managing the entire machine learning lifecycle, including experimentation, reproducibility, and deployment.

Does LLM Status offer local-first operation?

Yes, LLM Status is designed to be free and local-first, with its CLI running without requiring an account, API key, or uploading any data. Optional cloud sync is available for enhanced features like email and Slack alerts.

Source: llmstatus.ai

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