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Apxml

Estimate VRAM, compare GPU costs, and research model specifications and benchmarks for local or production LLM planning.

Category:AI Models Hub
freemium
Last Updated 7/31/2026

About Apxml

apxml helps engineers plan local and production LLM deployments before they commit to hardware. It brings together a VRAM calculator, GPU cost comparisons, a searchable model directory, model specifications, rankings, and benchmark data. Basic is free and covers standard calculations plus a public hardware library, so it works well for early hardware checks and single-node planning. Pro adds saved hardware profiles, concurrent-user and batch-size modeling, calculator API access, exportable fine-tuning and inference cost reports, and an ad-free interface. Pro+ includes those features with higher API limits and priority support. The site is especially useful for testing deployment assumptions and estimating GPU budget. Its numbers remain planning estimates rather than a substitute for benchmarking the exact workload and hardware. The free interface contains ads, while API access and detailed production workflows require a paid subscription.

Best for

Local LLM enthusiasts checking whether a model fits the GPUs they already own.
ML engineers comparing hardware options before committing deployment budget.
Production teams that need repeatable calculator access, saved profiles, and exports.

Best use cases

Estimate VRAM for a chosen model before purchasing or assigning a GPU.

Compare GPU cost options while planning a single-node or multi-node deployment.

Export inference or fine-tuning cost assumptions for an internal planning discussion.

Compare before choosing

The free tier suits basic VRAM checks, while paid tiers cover production modeling and API workflows.

A model directory and calculator sit together, reducing context switching during hardware research.

Results are planning estimates, so teams still need direct tests for workload-specific performance.

Features

Estimate local LLM VRAM

Model memory requirements before buying or assigning GPUs for local inference and fine-tuning.

Compare GPU deployment costs

Compare hardware choices and cost implications while planning a single-node or production deployment.

Research models and benchmarks

Browse model specifications, rankings, release details, and benchmark results in one technical directory.

Pros

  • The $0 Basic plan covers standard VRAM estimates and a public hardware library.
  • Model specifications, rankings, benchmarks, and hardware planning tools are available in one workflow.
  • Paid plans add API access, saved profiles, exports, and concurrency modeling for production work.

Cons

  • The free experience is ad-supported, which may distract from repeated planning sessions.
  • Calculator API access and exportable cost reports require a paid subscription.
  • Planning estimates cannot replace direct workload benchmarks on the exact target hardware.

Pricing Plans

Basic

$0month
  • Standard VRAM calculator
  • Public hardware library
  • Ad-supported experience

Pro

$19month
  • Unlimited saved hardware configurations and profiles
  • Concurrent user and batch size modeling
  • Calculator API and programmatic access
  • Exportable fine-tuning and inference cost reports
  • Ad-free experience

Pro+

$59month
  • Everything in the Pro plan
  • Calculator API and programmatic access with higher limits
  • Priority support

* Pricing information is for reference only. Please refer to the latest announcement on Apxml's official website.

FAQ

apxml helps engineers estimate VRAM needs, compare GPU costs, browse model specifications and benchmarks, and assess which local LLM setups may fit a workload.
Yes. Basic costs $0 per month and includes the standard VRAM calculator, the public hardware library, and an ad-supported experience.
Pro is aimed at production planning that needs saved configurations, concurrency modeling, API access, report exports, or an ad-free interface. Pro+ adds higher API limits and priority support.

Tool Information

DeveloperApxml
Release Date7/16/2026
Pricingfreemium

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