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- AI model hallucination vs output
AI model hallucination vs output
Artificial Analysis's scatter plot drew 3.7K views on X: 0.3x @artificialanlys's median post and #1,003 of 1,162 AI chart posts we hold by views. Read Oct 12, 2026.
Generating more output tokens doesn’t necessarily translate to a higher score. GPT-6 Astra (max) scores 8.6% on ~81k output tokens per task, under half the ~180k of Grok 4.7 (xhigh). Three Claude models generated the most output tokens (~20
Why it spread
The post spread because it came from an independent author at launch timing, and its scatter chart made a counterintuitive point that more output tokens do not guarantee a higher score, with GPT-6 Astra (max) at 8.6% on about 81k output tokens per task versus Grok 4.7 (xhigh) at about 180k, while three Claude models generated about 202k to about 562k per task and scored 2.8% to 6.4%, drawing 20 likes, 1 repost, 3 saves and 3,681 views against the account's typical 16 likes.
What worked
- The chart type was a scatter that showed hallucination rate decreasing as output tokens increase, which framed a simple visual relationship between two measures.
- The post text used concrete model names and measured ranges, such as 8.6% on about 81k output tokens per task and about 202k to about 562k per task, to support the claim that more output tokens do not necessarily mean a higher score.
- The combination of launch timing and an independent author gave the post timeliness and credibility, and it reached the top quarter for source reach even though its quote rate was in the bottom quarter.
What to borrow
We could use the same scatter form and framing to show a counterintuitive relationship in our own data, pairing a rate on one axis with a volume measure on the other and labeling each point with a model name and its measured range.
Careful
Do not copy the lack of a source line or over-read the low quote rate and modest saves as proof of deep engagement, and do not treat the account's typical likes as a benchmark for every post.
Written by our analysis model from the measured numbers above, not by Artificial Analysis.
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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 8cf89de8c3d8.
Approximate values. Our two readings of this chart agreed only in part (confidence 0.38 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/8cf89de8c3d8 | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/8cf89de8c3d8/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/8cf89de8c3d8/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/8cf89de8c3d8/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 Artificial Analysis's "AI model hallucination vs output" chart travel?
3,699 views, 20 likes, 1 reposts and 3 saves on X, read Oct 12, 2026. A normal post from @ArtificialAnlys gets about 54.2K views.
What kind of chart is it?
A scatter plot. Hallucination rate decreases as output tokens increase across AI 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.