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- MLCR-AA vs HealthBench

MLCR-AA vs HealthBench
Artificial Analysis's scatter plot drew 13.5K views on X: 0.4x its typical post and #141 of 202 Artificial Analysis charts we track by views. Read Oct 23, 2026.
On MLCR-AA and HealthBench Professional, Anthropic models give the most complete answers but OpenAI models are more accurate and concise
Why it spread
It spread because the post paired a clear two-benchmark comparison of 14 models with a named, branded source and landed at launch timing, drawing 74 likes against the account's typical 14, plus 4 reposts, 4 quotes, 12 saves and 13,268 views.
What worked
- The headline framing sets completeness against accuracy and conciseness, giving readers a tradeoff to argue about rather than a single ranking.
- The scatter form shows model performance across two benchmarks at once, which invites comparison and quoting.
- The post is branded and tied to a launch moment, and the quote rate sits in the top quarter, which helped it travel.
What to borrow
We can build a scatter comparing our own models on two benchmarks and lead with a plain-language tradeoff in the headline, then time the post to a launch moment.
Careful
Do not over-read the engagement: there are no comment counts and no points, the source line is not shown, and the design polish and self-labelling are only medium, so the spread reflects framing and timing as much as the chart itself.
Written by our analysis model from the measured numbers above, not by Artificial Analysis.
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API
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How far did Artificial Analysis's "MLCR-AA vs HealthBench" chart travel?
13,452 views, 74 likes, 4 reposts and 12 saves on X, read Oct 23, 2026. A normal post from @ArtificialAnlys gets about 32.6K views.
What kind of chart is it?
A scatter plot. Model performance comparison across two benchmarks.
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.


