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ModelMap vs Proxon (2026)

A side-by-side comparison of ModelMap and Proxon on pricing, features, and fit, so you can decide which is right for you.

Last updated: August 20, 2026

Quick answer

ModelMap and Proxon are both strong choices, but they fit different needs. Choose ModelMap if you mainly need inspecting a large language model's layer structure before committing to a multi-gigabyte download — its edge is works on very large models without downloading weights, saving significant time and storage. Choose Proxon if you need auditing all ai applications in use across a large enterprise to identify shadow it risks — its edge is provides comprehensive visibility into both approved and unauthorized ai tool usage. ModelMap starts at Free; Proxon starts at On request.

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ModelMap logo
ModelMap

Visualize any Hugging Face model architecture instantly, no download needed.

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Proxon logo
Proxon

Full visibility and control over every AI tool in your organization.

PricingFree
PricingPaid
Starts atFree
Starts atOn request
Free tierAll features included, no account required
Free tierNo public free tier
RatingNot yet rated
RatingNot yet rated
Best forInspecting a large language model's layer structure before committing to a multi-gigabyte download
Best forAuditing all AI applications in use across a large enterprise to identify shadow IT risks
Key strengthWorks on very large models without downloading weights, saving significant time and storage
Key strengthProvides comprehensive visibility into both approved and unauthorized AI tool usage
Main drawbackNo public repository or license information, making self-hosting or code auditing impossible
Main drawbackPricing is not publicly available, making it difficult to budget without a sales conversation

Features compared

ModelMap

  • Interactive animated architecture maps generated from safetensors headers without downloading weights
  • Cost lens displaying MACs, activation memory, and KV cache estimates for any model
  • Full module tree and execution order visualization with tensor shape annotations
  • Zero-setup workflow - paste a Hugging Face model URL and explore instantly

Proxon

  • Automated discovery and inventory of all AI tools across an organization, including shadow AI
  • Ownership assignment and policy binding per AI system
  • Real-time spend tracking and budget attribution for each AI tool
  • Centralized compliance and governance dashboard for IT and security teams

Pros & cons

ModelMap

Pros

  • Works on very large models without downloading weights, saving significant time and storage
  • Cost lens provides practical inference metrics beyond basic layer diagrams
  • No setup, account, or installation required - just paste a URL

Cons

  • No public repository or license information, making self-hosting or code auditing impossible
  • Single-page client-rendered app is opaque to programmatic access or automated verification

Proxon

Pros

  • Provides comprehensive visibility into both approved and unauthorized AI tool usage
  • Directly links AI tools to owners, policies, and costs for clear accountability
  • Designed specifically for enterprise security and IT governance workflows

Cons

  • Pricing is not publicly available, making it difficult to budget without a sales conversation
  • May require significant onboarding effort to fully integrate with existing IT infrastructure

The verdict

Choose ModelMap if

you mainly need to inspecting a large language model's layer structure before committing to a multi-gigabyte download. Its edge: works on very large models without downloading weights, saving significant time and storage.

Choose Proxon if

you mainly need to auditing all ai applications in use across a large enterprise to identify shadow it risks. Its edge: provides comprehensive visibility into both approved and unauthorized ai tool usage.

Frequently asked questions

Is ModelMap better than Proxon?

Neither is universally better. ModelMap is stronger for inspecting a large language model's layer structure before committing to a multi-gigabyte download, with an edge in works on very large models without downloading weights, saving significant time and storage. Proxon is stronger for auditing all ai applications in use across a large enterprise to identify shadow it risks, with an edge in provides comprehensive visibility into both approved and unauthorized ai tool usage. Pick based on your main task.

Which is cheaper, ModelMap or Proxon?

ModelMap starts at Free and Proxon starts at On request. Free tier: ModelMap — All features included, no account required; Proxon — No public free tier.

What is ModelMap best for?

ModelMap is best for inspecting a large language model's layer structure before committing to a multi-gigabyte download, comparing parameter counts and computational costs across multiple model architectures, quickly auditing tensor shapes and module hierarchies for research or debugging purposes.

What is Proxon best for?

Proxon is best for auditing all ai applications in use across a large enterprise to identify shadow it risks, enforcing ai usage policies and mapping each tool to a responsible owner, tracking and controlling ai-related software spend across business units.

Do ModelMap and Proxon have free plans?

ModelMap: All features included, no account required. Proxon: No public free tier. Check each tool's pricing page for current limits, as plans change.