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- SemiAnalysis
- TCO vs Interactivity AI Models
TCO vs Interactivity AI Models
SemiAnalysis's scatter plot drew 8.3K views on X: 0.2x its typical post and #56 of 57 SemiAnalysis charts we track by views. Read Oct 24, 2026.
And vLLM on InferenceX performs extremely well. Explore our results, DSv4.1 serving results, configs, logs, and profit estimator on (4/5)
Why it spread
It spread mainly because it came from a big source: the account has a top quarter source reach, and the post drew 8,029 views, though only 30 likes, 1 repost, 0 quotes and 2 saves against the account's typical 148 likes.
What worked
- The chart used an unusual chart type, a scatter, which stood out and drew attention.
- It was branded and carried a source line, which lent it credibility from a big source.
- The post framed the chart as part of a numbered series with a clear call to explore results, configs, logs and a profit estimator.
What to borrow
We could use a scatter to show a cost efficiency and interactivity tradeoff in our own data, brand it, add a source line, and frame it as one part of a numbered series with a clear next step.
Careful
Do not over-read the engagement: likes, reposts, quotes and saves were all far below the account's typical likes, so reach came from the big source rather than strong audience response.
Written by our analysis model from the measured numbers above, not by SemiAnalysis.
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API
Not in the API yet
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Questions people ask
How far did SemiAnalysis's "TCO vs Interactivity AI Models" chart travel?
8,292 views, 31 likes, 1 reposts and 2 saves on X, read Oct 24, 2026. A normal post from @SemiAnalysis_ gets about 51K views.
What kind of chart is it?
A scatter plot. AI model cost efficiency and interactivity tradeoff.
Can I use SemiAnalysis's chart?
Use the format, not the picture. The chart, logo and design belong to SemiAnalysis. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.