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- Artificial Analysis
- AI model benchmark comparison

AI model benchmark comparison
Artificial Analysis's scatter plot drew 552.5K views on X: 10x its typical post and #9 of 123 Artificial Analysis charts we track by views. Read Oct 10, 2026.
Anthropic has released Claude Haiku 5.5, scoring 43 on the Artificial Analysis Intelligence Index - up 26 points one year after the last Haiku release
Why it spread
This post spread because it paired a clear news hook, a new Claude Haiku 5.5 scoring 43 on the Artificial Analysis Intelligence Index and up 26 points one year after the last Haiku release, with a scatter chart that explains itself and drew 1,971 likes, 136 reposts, 105 quotes, 259 saves and 552,521 views.
What worked
- The chart is a scatter plot showing the tradeoff between intelligence index and output tokens, which explains itself without extra reading.
- The post is highly self labelling and branded with a source line, so viewers immediately know what they are looking at and where it came from.
- The quote rate sits in the top quarter, and the 105 quotes show the chart gave people a concrete artifact to debate and share.
What to borrow
We could take a timely model release, plot our own intelligence against output token tradeoff as a scatter, label it clearly with our brand and source line, and let the chart carry the comparison.
Careful
Do not over-read the spread as proof that scatter charts always work, since this result also depends on the news hook, the account reach and the top quarter quote rate, and the post text is cut off.
Written by our analysis model from the measured numbers above, not by Artificial Analysis.
Make it yours
Your numbers, the bar chart way.
Starts from the real numbers of "Intelligence Index vs. Output Tokens per Intelligence Index Task" by Artificial Analysis. Replace every number with yours before you post. Make one like this, step by step
Free pictures carry a small "Made with ViralChart" line. That line is how other people find us.
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 df2128b383fc.
Approximate values. Our two readings of this chart agreed only in part (confidence 0.30 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.
| Path | Returns | Plan | |
|---|---|---|---|
| GET | /api/v1/charts/df2128b383fc | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/df2128b383fc/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/df2128b383fc/render?view=1 | The draw-only view this page uses | Open |
| POST | /mcp | Tool get_chart_data with this id, for Claude, Cursor and other agents | Max |
curl -s https://viral-chart.com/api/v1/charts/df2128b383fc/data \
-H "Authorization: Bearer $VIRALCHART_KEY"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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How far did Artificial Analysis's "AI model benchmark comparison" chart travel?
552,521 views, 1,971 likes, 136 reposts and 259 saves on X, read Oct 10, 2026. A normal post from @ArtificialAnlys gets about 54.2K views.
What kind of chart is it?
A scatter plot. AI models show tradeoff between intelligence index and output tokens.
Can I use Artificial Analysis's chart?
Use the format, not the picture. The chart, logo and design belong to Artificial Analysis. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.


