1. Chart data
  2. artificial-analysis
  3. Average Score (16K max context) vs. End-to-End Generation Ti
artificial-analysisScatter plot · 39 points · iPhone 17 Pro and 17 Pro Max

Average Score (16K max context) vs. End-to-End Generation Time

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

Estimated from the image 47%All Apple 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 39 points are free
GroupSeriesxValueSourceConf.
LFM2.5-230MLiquid AI0.526Estimate0.50
LFM2.5-350MLiquid AI127Estimate0.50
Qwen3.5 0.8B (Reasoning)Alibaba225Estimate0.30
MiniCPM5-1B (Reasoning)OpenBMB345Estimate0.50
LFM2.5-1.2B-InstructLiquid AI3.542Estimate0.50
LFM2.5-8B-A1BLiquid AI550Estimate0.50
Qwen3.5 2B (Reasoning)Alibaba5.540Estimate0.97
Gemma 4 E2B (Non-reasoning)Google648Estimate0.30
Gemma 4 E2B (Reasoning)Google6.549Estimate0.50
Ling 3.0 TinyAI9Stars760Estimate0.50

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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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Mistral 3 3BMistral841Estimate0.30
G9v3-3BAI9Stars8.552Estimate0.50
Qwen3.5 4B (Reasoning)Alibaba951Estimate0.30
Granite 4.0 MicroIBM1037Estimate0.30
LFM2.5-2.6BLiquid AI10.558Estimate0.50
Gemma 4 4B (Non-reasoning)Google1150Estimate0.50
Gemma 4 4B (Reasoning)Google1255Estimate0.50
Qwen3.5 4B (Non-reasoning)Alibaba1352Estimate0.50
Mistral 3 8BMistral1542Estimate0.30
Qwen3.5 9B (Reasoning)Alibaba1658Estimate0.30
Granite 4.1 8BIBM16.542Estimate0.50
Olmo 3 7B ThinkAllen Institute for AI1842Estimate0.50
NebeNebe1960Estimate0.50
Qwen3.5 9B (Non-reasoning)Alibaba2058Estimate0.50
Ornith-1.0-9BOrnith AI2242Estimate0.30
Falcon-H1R-7BTII UAE22.542Estimate0.30
Artificial AnalysisOther2362Estimate0.50
LFM2.5-350MAI9Stars0.527Estimate0.50
LFM2.5-1B-InstructAI9Stars2.542Estimate0.50
LFM2.5-8B-A1BAI9Stars4.552Estimate0.50
LFM2.5-2.6BAI9Stars6.562Estimate0.50
OLMo 3.7B ThinkAllen Institute for AI18.542Estimate0.50
Gemma 4 E4B (Non-reasoning)Google10.558Estimate0.50
Gemma 4 E4B (Reasoning)Google12.560Estimate0.50
MiniCPM5-1B (Reasoning)InclusionAI3.545Estimate0.50
Ling 3.0 TinyLiquid AI5.563Estimate0.50
Nanbeige4.2-3BNanbeige15.560Estimate0.50
Qwen3.5 9B (Non-reasoning)Nanbeige20.560Estimate0.50
MiniCPM5-2.6BOpenBMB7.560Estimate0.50
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JSONAgent skill file

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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 501160a1ac0f.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.47 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.

See the Max planAPI docs
PathReturnsPlan
GET/api/v1/charts/501160a1ac0fTitle, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/501160a1ac0f/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/501160a1ac0f/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/501160a1ac0f/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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Questions people ask

How accurate are these numbers?

They are estimated from the image by two independent passes, with confidence 0.47 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/501160a1ac0f.json and /api/charts/501160a1ac0f.skill.md.