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Llama Self-Hosting Cost Estimator

Self-hosting open models can beat API pricing at scale — if you size GPUs correctly. This estimator uses hosting profiles for Llama-class models (VRAM guidance) plus your $/hr assumptions. For API token pricing across Meta and other providers (DeepSeek, GLM, Qwen, Grok, …), use the LLM token calculator which pulls live OpenRouter rates.

Llama Self-Hosting Cost Estimator

Hosting profiles from AI model registry · 3 models

Min VRAM
40 GB
~1 x A100 80GB
GPUs
1
Monthly
$2,160
Annual
$25,920

How to Use This Tool

  1. Select the Llama (or registry) model size.
  2. Enter your GPU hourly cost and hours per month.
  3. Review estimated GPUs needed from VRAM guidance and monthly cost.

Features

  • Hosting profiles with VRAM guidance
  • VRAM-based GPU count estimate
  • Configurable $/hr and hours/month
  • Pairs with live OpenRouter API pricing tools

Example

Self-hosted GPU rough cut

Sample

Pick GPU class, batch size, and requests per day in the form.

What you get

Gets a ballpark monthly hardware + power envelope—not cloud API per-token pricing.

Frequently Asked Questions

How many GPUs does Llama 4 Maverick need?
Maverick (~400B MoE) typically needs multiple 80GB-class GPUs depending on quantization. The estimator divides listed min VRAM by 80GB as a planning heuristic — not a capacity guarantee.
When does self-hosting become cheaper than API?
Often around tens of millions of tokens per month for large MoE models, but spot pricing, utilization, and ops overhead dominate. Compare against managed APIs for your real volume.

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