GPT-6.1 Sol TTFT scaling
Epoch AI's small multiples drew 16.1K views on X: 3.0x @epochairesearch's median post and #745 of 1,162 AI chart posts we hold by views. Read Oct 14, 2026.
A new architecture for GPT-6.1 Sol?
Why it spread
This post spread because it landed at launch timing for a new architecture question about GPT-6.1 Sol, from an independent author, and it paired a concrete price claim, OpenAI halved its cached-input price compared with GPT-6 Sol, with a chart showing GPT-6.1 Sol scales time to first token more efficiently than earlier models, drawing 353 likes, 26 reposts, 6 quotes, 57 saves and 15,515 views against the account's typical 114 likes.
What worked
- The post text leads with a question about a new architecture for GPT-6.1 Sol, which invites speculation and discussion rather than just stating a result.
- The chart is a small-multiples form with medium design polish, medium self-labelling, low unusual form, a branded look and a source line, so it reads as credible and easy to scan while still feeling like the team's own work.
- The framing combines a price comparison, OpenAI halved its cached-input price compared with GPT-6 Sol, with a speed claim about long prompts, giving readers two concrete reasons to share it.
What to borrow
We could use the same small-multiples form and launch-timing framing by pairing one clear cost or price comparison with one performance claim in the post text, then letting the chart show how our model scales on a specific measure, with a source line and our own branding.
Careful
Do not over-read the quote rate, which is below average, or treat the view and like counts as proof that the chart design alone drove the spread, since launch timing and independent authorship are listed as the main reasons and the account's typical likes were 114.
Written by our analysis model from the measured numbers above, not by Epoch AI.
Make it yours
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Starts from the real numbers of "GPT-6.1 Sol's TTTF scales more efficiently than earlier Sol API models" by Epoch AI. Replace every number with yours before you post. Make one like this, step by step
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API · Max
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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 6836bc89b7b2.
| Path | Returns | Plan | |
|---|---|---|---|
| GET | /api/v1/charts/6836bc89b7b2 | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/6836bc89b7b2/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/6836bc89b7b2/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/6836bc89b7b2/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 "GPT-6.1 Sol TTFT scaling" chart travel?
16,309 views, 357 likes, 27 reposts and 56 saves on X, read Oct 14, 2026. A normal post from @EpochAIResearch gets about 68.2K views.
What kind of chart is it?
A small multiples. GPT-6.1 Sol scales time to first token more efficiently than earlier models.
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.