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GoogleTable chart · 88 points · Gemini 4

Gemini 4 Argon Benchmark Comparison

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

Estimated from the image 59%Gemini 4All Google modelsAll chart data
Chart by Google. Source: x.com

Our replica

Look-alike score 9.2 of 10
The original, Google
Our replica. Look-alike score 9.2 of 10Swipe sideways to read the labels.

Drawn by us in your browser from the numbers below, in the same layout, palette and label style as the original. Values marked with ~ in the table are estimates. A replica needs 7 of 10 from our judges to be shown.

The numbers

First 10 of 88 points are free
GroupSeriesValueSourceConf.
Knowledge workGemini 4 Argon68.9%Estimate0.97
Knowledge workAstra63.1%Estimate0.97
Knowledge workGPT-665.8%Estimate0.50
Knowledge workClaude Opus 5.566.4%Estimate0.90
Knowledge workGemini 4 Argon51.3%Estimate0.30
Knowledge workAstra41.4%Estimate0.30
Knowledge workGPT-631.4%Estimate0.50
Knowledge workClaude Opus 5.542.5%Estimate0.30
Knowledge workGemini 4 Argon19.6%Estimate0.97
Knowledge workAstra5.4%Estimate0.97

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Knowledge workGPT-66.7%Estimate0.50
Knowledge workClaude Opus 5.53.8%Estimate0.30
Agentic codingGemini 4 Argon55%Estimate0.97
Agentic codingAstra74.1%Estimate0.97
Agentic codingGPT-667.4%Estimate0.50
Agentic codingClaude Opus 5.574.2%Estimate0.30
Agentic codingGemini 4 Argon77.9%Estimate0.30
Agentic codingAstra65.5%Estimate0.30
Agentic codingGPT-656.3%Estimate0.50
Agentic codingClaude Opus 5.562.3%Estimate0.30
Agentic codingGemini 4 Argon91.9%Estimate0.30
Agentic codingAstra89.6%Estimate0.97
Agentic codingGPT-690.3%Estimate0.50
Agentic codingClaude Opus 5.590.3%Estimate0.97
Agentic codingGemini 4 Argon57.4%Estimate0.50
Agentic codingAstra58.2%Estimate0.50
Agentic codingGPT-657.9%Estimate0.50
Agentic codingClaude Opus 5.566.4%Estimate0.50
ML engineeringGemini 4 Argon45.3%Estimate0.97
ML engineeringAstra44.3%Estimate0.97
ML engineeringGPT-640.2%Estimate0.50
ML engineeringClaude Opus 5.549.3%Estimate0.30
Science and mathGemini 4 Argon57.6%Estimate0.50
Science and mathAstra68.1%Estimate0.50
Science and mathGPT-652.6%Estimate0.50
Science and mathClaude Opus 5.563.3%Estimate0.50
Science and mathGemini 4 Argon88.8%Estimate0.50
Science and mathAstra85.4%Estimate0.50
Science and mathGPT-668.6%Estimate0.50
Science and mathClaude Opus 5.573.1%Estimate0.50
Long contextGemini 4 Argon76%Estimate0.97
Long contextAstra72%Estimate0.97
Long contextGPT-665.6%Estimate0.50
Long contextClaude Opus 5.569.6%Estimate0.30
Long contextGemini 4 Argon99.7%Estimate0.97
Long contextAstra98.7%Estimate0.97
Long contextGPT-691.4%Estimate0.50
Long contextClaude Opus 5.591%Estimate0.97
Computer useGemini 4 Argon39.5%Estimate0.97
Computer useAstra34.2%Estimate0.97
Computer useClaude Opus 5.538.2%Estimate0.50
Multimodal understandingGemini 4 Argon70.4%Estimate0.90
Multimodal understandingAstra71.8%Estimate0.90
Multimodal understandingGemini 4 Argon71.6%Estimate0.50
Multimodal understandingAstra71%Estimate0.50
Multimodal understandingGPT-646.2%Estimate0.50
Multimodal understandingClaude Opus 5.566.3%Estimate0.30
Multimodal understandingGemini 4 Argon91.7%Estimate0.50
Multimodal understandingAstra87.5%Estimate0.50
Multimodal understandingGPT-679.7%Estimate0.50
Multimodal understandingClaude Opus 5.583.7%Estimate0.50
CybersecurityGemini 4 Argon68%Estimate0.97
CybersecurityAstra68%Estimate0.97
CybersecurityGPT-658%Estimate0.50
CybersecurityClaude Opus 5.567%Estimate0.30
ML engineering math - Terminal-Bench Science 0.1Gemini 4 Argon57.6%Estimate0.50
ML engineering math - LABBench 2Gemini 4 Argon88.8%Estimate0.50
Computer use - OSWorld-2.0Gemini 4 Argon69.2%Estimate0.50
ML engineering math - Terminal-Bench Science 0.1Astra68.1%Estimate0.50
ML engineering math - LABBench 2Astra85.4%Estimate0.50
Computer use - OSWorld-2.0Astra72.6%Estimate0.50
ML engineering math - PostTrainBenchClaude40.2%Estimate0.50
ML engineering math - LABBench 2Claude68.6%Estimate0.50
Knowledge work - Vals IndexOpus 5.567%Estimate0.50
Knowledge work - Automation Finance Agent v2Opus 5.558.6%Estimate0.50
Knowledge work - Harvey's Legal Agent BenchmarkOpus 5.53.8%Estimate0.50
Agentic coding - FrontierSWE v1.1Opus 5.574.2%Estimate0.50
Agentic coding - Vibe Code BenchOpus 5.562.3%Estimate0.50
Agentic coding - Terminal-bench 4.0Opus 5.566.4%Estimate0.50
ML engineering math - PostTrainBenchOpus 5.549.3%Estimate0.50
ML engineering math - Terminal-Bench Science 0.1Opus 5.573.1%Estimate0.50
ML engineering math - LABBench 2Opus 5.569.6%Estimate0.50
Long context - RiemannBenchOpus 5.569.6%Estimate0.50
Long context - GraphWalksOpus 5.590.6%Estimate0.50
Computer use - Agent's Last ExamOpus 5.538.2%Estimate0.50
Computer use - OSWorld-2.0Opus 5.566.3%Estimate0.50
Multimodal understanding - ChartographyOpus 5.583.7%Estimate0.50
Cybersecurity - CWE-bench v1Opus 5.567%Estimate0.50
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API · Max

Use this chart via API

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 4f90cd620777.

See the Max planAPI docs
PathReturnsPlan
GET/api/v1/charts/4f90cd620777Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/4f90cd620777/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/4f90cd620777/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/4f90cd620777/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

All chart data
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Questions people ask

How accurate are these numbers?

They are estimated from the image by two independent passes, with confidence 0.59 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 Google 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/4f90cd620777.json and /api/charts/4f90cd620777.skill.md.