1. Chart data
  2. Output Tokens used to Run all Evaluations in the Artificial
artificial-analysisBenchmark bar chart · 33 points · Mistral Small

Output 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 39%Mistral SmallAll 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 33 points are free
GroupSeriesValue (M)SourceConf.
Qwen3.5-58B Q4Reasoning Tokens~190Estimate0.50
NVIDIA Nemotron 3 NanoReasoning Tokens140Estimate0.97
NVIDIA Nemotron 3 SuperReasoning Tokens~110Estimate0.30
Qwen3.5-235B A28BReasoning Tokens~100Estimate0.50
Qwen3.5-235B A70BReasoning Tokens~90Estimate0.50
Claude 4.5 HaikuReasoning Tokens~82Estimate0.30
gpt-oss-120B (high)Reasoning Tokens~79Estimate0.30
GLM-4.7-FlashReasoning Tokens~78Estimate0.30
gpt-oss-20B (high)Reasoning Tokens~64Estimate0.30
Mistral Small 4Reasoning Tokens~61Estimate0.30

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See all 33 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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Claude 4.5 HaikuAnswer Tokens~56Estimate0.30
Mistral Large 3Answer Tokens~52Estimate0.30
Mistral Small 3.2Answer Tokens~49Estimate0.30
Mistral Small 4Answer Tokens~8.3Estimate0.30
Mistral Large 3Answer Tokens~5.2Estimate0.50
Mistral Small 3.2Answer Tokens~4.5Estimate0.50
Mistral Small 4Answer Tokens~3.9Estimate0.30
OpenAI o3 (high)Reasoning Tokens~190Estimate0.50
OpenAI o3 (high)Reasoning Tokens~90Estimate0.50
OpenAI o3 (high)Reasoning Tokens~82Estimate0.50
Claude 4.5 SonnetReasoning Tokens~8.3Estimate0.50
Mistral Large 3Reasoning Tokens~5.2Estimate0.50
Mistral Small 3.2Reasoning Tokens~4.5Estimate0.50
Mistral Small 4Reasoning Tokens~3.9Estimate0.50
OpenAI o3 (high)Answer Tokens~10Estimate0.30
NVIDIA Nemotron NanoAnswer Tokens~0Estimate0.30
NVIDIA Nemotron SuperAnswer Tokens~10Estimate0.30
OpenAI o3 (high)Answer Tokens~10Estimate0.30
OpenAI o3 (high)Answer Tokens~9Estimate0.30
GPT-oss-120B (high)Answer Tokens~5Estimate0.30
GLM-4.7-FlashAnswer Tokens~8Estimate0.30
GPT-oss-20B (high)Answer Tokens~3Estimate0.30
Claude 4.5 SonnetAnswer Tokens~0Estimate0.30
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JSONAgent skill file

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 ae77fadbda6a.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.39 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/ae77fadbda6aTitle, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/ae77fadbda6a/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/ae77fadbda6a/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/ae77fadbda6a/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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A simplified form: our own look, not the look of the original. Your numbers start from this chart's 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 0.39 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/ae77fadbda6a.json and /api/charts/ae77fadbda6a.skill.md.