AI model benchmark lag
Epoch AI's line chart drew 89.6K views on X: 1.3x its typical post and #39 of 97 Epoch AI charts we track by views. Read Oct 10, 2026.
We benchmarked several open-weight Chinese models on FrontierMath. Their top scores on Tiers 1-3 lag the overall frontier by about seven months.
Why it spread
This post spread because it landed on a hot topic that week and drew many quotes, reaching 89,600 views, 253 likes, 32 reposts, 16 quotes and 68 saves, well above the account's typical 114 likes.
What worked
- It made a clear, timely claim that Chinese open models lag the frontier by about seven months, which invited discussion and quoting.
- It used a simple line chart with a source line and a branded look, so the comparison was easy to grasp at a glance.
- It framed the finding around a widely followed topic, which helped it travel beyond the account's usual audience.
What to borrow
We could take a timely comparison our own data supports, state the gap in plain time terms, and pair it with a clean line chart that carries our brand and a source line.
Careful
Do not over-read the engagement as proof the chart design alone drove the spread, since the hot topic and the many quotes likely did much of the work.
Written by our analysis model from the measured numbers above, not by Epoch AI.
Make it yours
Your numbers, in this line chart.
Starts from the real numbers of "On FrontierMath Tiers 1-3, open-weight Chinese models lag frontier models by about seven m" by Epoch AI. 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 7e3ad8679ad2.
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/7e3ad8679ad2 | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/7e3ad8679ad2/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/7e3ad8679ad2/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/7e3ad8679ad2/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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Questions people ask
How far did Epoch AI's "AI model benchmark lag" chart travel?
89,600 views, 253 likes, 32 reposts and 68 saves on X, read Oct 10, 2026. A normal post from @EpochAIResearch gets about 68.2K views.
What kind of chart is it?
A line chart. Chinese open models lag frontier models by months.
Can I use Epoch AI's chart?
Use the format, not the picture. The chart, logo and design belong to Epoch AI. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.