Gemini model benchmarks
Google's table chart drew 1.1M views on X: 2.0x its typical post and #6 of 15 Google charts we track by views. Read Oct 10, 2026.
We’re kicking off the start of our Gemini 2.0 era with Gemini 2.0 Flash, which outperforms 1.5 Pro on key benchmarks at 2X speed (see chart below). I’m especially excited to see the fast progress on coding, with more to come.
Why it spread
The post spread because it announced a launch at the right time and drew many quotes, reaching 7,146 likes, 719 reposts, 258 quotes, 1,084 saves, and 1,133,456 views, which is 1.6x the account's typical likes of 4,569.
What worked
- The post pairs a clear launch message with a chart that shows Gemini 2.0 Flash outperforming 1.5 Pro on key benchmarks at 2X speed.
- The framing highlights fast progress on coding, which gives developers a concrete reason to try the experimental version in AI Studio and Vertex AI.
- The launch timing and the many quotes helped the post travel beyond the account's usual audience, as shown by the above average quote rate and top quarter source reach.
What to borrow
We could use the same form by tying our own chart to a product or feature launch, stating one clear performance claim, and pointing viewers to a place where they can try it.
Careful
Do not copy the exact benchmark claim or assume the same lift, since the results here depend on this account's launch timing, its large existing audience, and the specific Gemini 2.0 Flash comparison.
Written by our analysis model from the measured numbers above, not by Google.
Make it yours
Your numbers, in this table chart.
Starts from the real numbers of "Gemini Model Capability Comparison" by Google. 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 2545a2530f75.
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/2545a2530f75 | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/2545a2530f75/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/2545a2530f75/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/2545a2530f75/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 Google's "Gemini model benchmarks" chart travel?
1,133,456 views, 7,146 likes, 719 reposts and 1,084 saves on X, read Oct 10, 2026. A normal post from @sundarpichai gets about 567.3K views.
What kind of chart is it?
A table chart. Gemini 2.0 outperforms previous models across benchmarks.
Can I use Google's chart?
Use the format, not the picture. The chart, logo and design belong to Google. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.