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- FrontierCode L1 Score vs Time

FrontierCode L1 Score vs Time
Artificial Analysis's scatter plot drew 4.2K views on X: 0.4x @artificialanlys's median post and #984 of 1,162 AI chart posts we hold by views. Read Oct 14, 2026.
GPT-6 Luna (max), GPT-6 Astra (max), GPT-6.1 Sol (max) and Claude Opus 5.5 (max with fallback) sit on the Pareto frontier for score vs. Time per Task. We estimate Time per Task from each model's token usage and our live output speed measure
Why it spread
The post spread mainly because it arrived at launch timing from an independent author, and it reached 1,689 views while earning 8 likes against the account's typical 18 likes, with no reposts, quotes, or saves.
What worked
- It used a scatter chart to place frontier models on a performance versus time per task frontier, which is a clear and familiar comparison form.
- It named specific models and explained the time estimate came from token usage plus live output speed measurements, giving the chart a concrete method.
- It carried a source line and branded presentation, which helped an independent author look credible at launch timing.
What to borrow
We could use the same scatter framing with our own data by plotting our models on a performance versus time per task frontier wiped from our own token usage and speed measurements, then label the frontier clearly.
Careful
Do not over-read the low engagement: 8 likes against a typical 18, zero reposts, zero quotes, and zero saves suggest the reach came more from timing and author independence than from the chart itself.
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 "FrontierCode 1.1: Score vs. Time per 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 c63d2267872f.
| Path | Returns | Plan | |
|---|---|---|---|
| GET | /api/v1/charts/c63d2267872f | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/c63d2267872f/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/c63d2267872f/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/c63d2267872f/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 "FrontierCode L1 Score vs Time" chart travel?
8,733 views, 48 likes, 1 reposts and 1 saves on X, read Oct 14, 2026. A normal post from @ArtificialAnlys gets about 54.2K views.
What kind of chart is it?
A scatter plot. Model performance versus time per task across frontier models.
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.


