# Interactive site visualizes Artificial Analysis scores versus model size

Digest AI · Research · published 2026-10-21T07:50:59Z

Canonical: https://digestai.news/story/interactive-site-visualizes-artificial-analysis-scores-versus-model-si

## Summary

A new interactive website lets users plot Artificial Analysis intelligence scores against model parameter counts, highlighting which models run on specific hardware configurations. The tool distinguishes total parameters, active (Mixture‑of‑Experts) parameters, and lookup parameters, noting that the latter occupy memory but require little bandwidth and can be stored on SSDs.\n\nThe site orders model placement by memory hierarchy—first VRAM, then system RAM, and finally SSD if allowed—so a model is considered runnable when a bandwidth roofline yields a few tokens per second. Scores are derived from Artificial Analysis, with exact parameter sizes taken from Hugging Face, while lookup sizes and featured models are manually curated. Precision options include 4‑bit quantization on RTX 5000 / Blackwell and Q4\K\M elsewhere, and hosted endpoints are scored, meaning locally quantized copies may receive lower rankings.

## Key points

- Plots Artificial Analysis intelligence scores against total model parameters
- Ranks models by hardware fit: VRAM, then RAM, then SSD storage
- Shows 4‑bit precision mapping for RTX 5000 / Blackwell and Q4\K\M elsewhere

## Why it matters

The visualizer helps researchers and developers quickly assess trade‑offs between model size, speed, and hardware requirements, guiding efficient deployment decisions.

## Sources

1. [An interactive site plotting Artificial Analysis Intelligence vs parameter count](https://mr-september.github.io/artificial-analysis-weights) (mr-september.github.io, 2026-10-21)

## Cite

Digest AI, "Interactive site visualizes Artificial Analysis scores versus model size", 21 October 2026, https://digestai.news/story/interactive-site-visualizes-artificial-analysis-scores-versus-model-si

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