1. Chart data
  2. artificial-analysis
  3. Intelligence vs. Total Parameters
artificial-analysisScatter plot · 49 points · Gemma 4

Intelligence vs. Total Parameters

The numbers behind a chart artificial-analysis published, redrawn natively. Check the original, study the data, then make your own.

Estimated from the image 50%All Google modelsAll chart data
Chart by artificial-analysis. Source: x.com

Simplified redraw

Drawn by us from the numbers below. Hover, tap or use the arrow keys.

A simplified redraw: it shows the numbers in our own look, not the look of the original. One accent marks what the chart is about. Values marked with ~ in the table are estimates.

The numbers

First 10 of 49 points are free
GroupSeriesxValue (Artificial Analysis Intelligence Index)SourceConf.
AlibabaQwen3.5 0.8B0.8~5Estimate0.30
AlibabaQwen3.5 2B210Estimate0.97
AlibabaQwen3.5 4B4~15Estimate0.30
AlibabaQwen3.5 8B8~20Estimate0.30
AlibabaQwen3.5 22B22~30Estimate0.30
AlibabaQwen3.5 32B32~35Estimate0.30
AlibabaQwen3.5 235B A22B235~40Estimate0.30
AlibabaQwen3.5 3B3~10Estimate0.30
AlibabaQwen3.5 30B A3B30~25Estimate0.50
AlibabaQwen3.5 30B A3B30~25Estimate0.50

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See all 49 points and download the files

The full table, the JSON, a CSV and the agent skill file for this chart. These are Max in the plan; while this is a prototype your email unlocks them.

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DeepSeekDeepSeek V3.2671~45Estimate0.30
DeepSeekDeepSeek V3.1671~40Estimate0.50
GoogleGemma 3 270M0.275Estimate0.97
GoogleGemma 3 1B1~10Estimate0.30
GoogleGemma 3 4B4~15Estimate0.50
GoogleGemma 3 12B12~20Estimate0.50
GoogleGemma 3 27B27~25Estimate0.30
GoogleGemma 3 27B27~25Estimate0.30
KimiKimi K2.51000~50Estimate0.30
KimiKimi K2 Thinking1000~35Estimate0.30
KimiKimi K21000~30Estimate0.30
LG AI ResearchEXAONE 3.5100~25Estimate0.50
Liquid AILFM 1.3B1.3~5Estimate0.30
Liquid AILFM 3B310Estimate0.97
MBZUAI Institute of Foundation ModelsK2 Think V2200~15Estimate0.50
MetaLlama 4 Maverick40010Estimate0.97
MiniMaxMiniMax-M2.720045Estimate0.97
NVIDIANVIDIA Nemotron 3 Super20030Estimate0.97
OpenAIgpt-oss-120B (high)120~20Estimate0.30
OpenAIgpt-oss-20B (high)2015Estimate0.97
Z AIGLM-4.5355~35Estimate0.50
Z AIGLM-4.6355~40Estimate0.50
Z AIGLM-4.5 Air106~25Estimate0.50
DeepSeekDeepSeek V3.2 A10B300~35Estimate0.50
DeepSeekDeepSeek V3.2 A1B300~25Estimate0.50
GoogleGemma 4 E2B2~12Estimate0.50
GoogleGemma 4 E4B4~18Estimate0.50
GoogleGemma 4 27B27~30Estimate0.50
LG AI ResearchLG AI Research100~35Estimate0.30
MBZUAI Institute of Foundation ModelsK2 EXAONE200~20Estimate0.50
MiniMaxMiniMax-M2.1200~40Estimate0.50
NVIDIAgpt-oss-120B (high)120~25Estimate0.50
NVIDIAgpt-oss-20B (high)20~15Estimate0.50
Z AIQwen3.5 3B A3B3~15Estimate0.50
Z AIQwen3.5 4B A4B4~20Estimate0.50
Z AIQwen3.5 8B A8B8~25Estimate0.50
Z AIQwen3.5 22B A10B22~35Estimate0.50
Z AIQwen3.5 32B A3B32~40Estimate0.50
Z AIQwen3.5 235B A22B235~45Estimate0.50
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On the Max plan you can pull this chart's numbers with the provenance of each one, as JSON or CSV, with its redraw spec, or call it from an agent over MCP. Chart id 7c0bdee628df.

See the Max planAPI docs
PathReturnsPlan
GET/api/v1/charts/7c0bdee628dfTitle, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/7c0bdee628df/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/7c0bdee628df/render?view=1The draw-only view this page usesOpen
POST/mcpTool get_chart_data with this id, for Claude, Cursor and other agentsMax
curlMax
curl -s https://viral-chart.com/api/v1/charts/7c0bdee628df/data \
  -H "Authorization: Bearer $VIRALCHART_KEY"
Claude CodeMax
claude mcp add --transport http viralchart https://viral-chart.com/mcp \
  --header "Authorization: Bearer $VIRALCHART_KEY"

60 requests a minute per key; over that you get 429 with Retry-After. Up to 5 keys per account, made on your account page and shown once. Without Max, the data route answers 402 with a link to the plans. The numbers describe a chart its publisher owns, and every file carries a license note.

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More data from Google

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Questions people ask

How accurate are these numbers?

They are estimated from the image by two independent passes, with confidence 0.50 on a 0 to 1 scale. Printed numbers read well; values read off an axis can be a few percent off.

Can I reuse this data?

The numbers describe a chart that artificial-analysis published. The image, layout and styling belong to them. Use the numbers with a credit to the publisher, and make your picture from your own data.

How do I get the file?

The JSON, CSV and agent skill file are under the email gate on this page. In this prototype they are static files at /api/charts/7c0bdee628df.json and /api/charts/7c0bdee628df.skill.md.