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  2. artificial-analysis
  3. Output Tokens used Tokens used to Run all Evaluations in the
artificial-analysisBenchmark bar chart · 42 points · gpt-oss

Output Tokens used Tokens used to Run all Evaluations in the Artificial Analysis Intelligence Index

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

Estimated from the image 59%All OpenAI 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 42 points are free
GroupSeriesValue (M)SourceConf.
Magistral SmallAnswer Tokens130Estimate0.97
Grok 4Answer Tokens110Estimate0.97
Llama Nemotron Super (Reasoning)Answer Tokens100Estimate0.97
Qwen3 235B A22B (Reasoning)Answer Tokens98Estimate0.97
GLM-4.5Answer Tokens96Estimate0.97
DeepSeek-R1 0528Answer Tokens92Estimate0.97
EXONE 4.0 37B (Reasoning)Answer Tokens~91Estimate0.50
Gemini 2.5 ProAnswer Tokens86Estimate0.97
Gemini 2.5 Flash (high)Answer Tokens76Estimate0.97
o4-mini (high)Answer Tokens70Estimate0.97

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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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Solar Pro 2 (Reasoning)Answer Tokens49Estimate0.97
o3Answer Tokens47Estimate0.97
gpt-oss-20b (high)Answer Tokens~43Estimate0.30
Claude 4 Sonnet ThinkingAnswer Tokens36Estimate0.97
Kimi K2Answer Tokens~29Estimate0.30
gpt-oss-120b (high)Answer Tokens~21Estimate0.30
Llama 4 MaverickAnswer Tokens~11Estimate0.50
GPT 4.1Answer Tokens~6.8Estimate0.50
MiniMax M1 80kAnswer Tokens~5.2Estimate0.50
Nova PremierAnswer Tokens~5Estimate0.50
Magistral SmallReasoning Tokens~140Estimate0.30
Grok 4Reasoning Tokens~110Estimate0.30
Llama Nemotron Super (Reasoning)Reasoning Tokens~110Estimate0.30
Qwen3 235B A22B (Reasoning)Reasoning Tokens~110Estimate0.30
GLM-4.5Reasoning Tokens~100Estimate0.30
DeepSeek-R1 0528Reasoning Tokens~99Estimate0.30
EXONE 4.0 37B (Reasoning)Reasoning Tokens~99Estimate0.50
Gemini 2.5 ProReasoning Tokens~98Estimate0.30
Gemini 2.5 Flash (high)Reasoning Tokens~91Estimate0.30
o4-mini (high)Reasoning Tokens~74Estimate0.30
Solar Pro 2 (Reasoning)Reasoning Tokens~55Estimate0.30
o3Reasoning Tokens~50Estimate0.30
gpt-oss-20b (high)Reasoning Tokens~42Estimate0.30
Claude 4 Sonnet ThinkingReasoning Tokens~42Estimate0.30
Kimi K2Reasoning Tokens~29Estimate0.30
gpt-oss-120b (high)Reasoning Tokens~16Estimate0.30
Llama 4 MaverickReasoning Tokens11Estimate0.97
GPT 4.1Reasoning Tokens6.8Estimate0.97
MiniMax M1 80kReasoning Tokens5.2Estimate0.97
Nova PremierReasoning Tokens5Estimate0.97
EXONE 4.0 32B (Reasoning)Answer Tokens~91Estimate0.50
EXONE 4.0 32B (Reasoning)Reasoning Tokens~8Estimate0.30
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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 35206c1921e3.

PathReturnsPlan
GET/api/v1/charts/35206c1921e3Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/35206c1921e3/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/35206c1921e3/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/35206c1921e3/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 0.59 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 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/35206c1921e3.json and /api/charts/35206c1921e3.skill.md.