- Chart data
- artificial-analysis
- End-to-End Output 500 Response Time
End-to-End Output 500 Response Time
The numbers behind a chart artificial-analysis published, redrawn natively. Check the original, study the data, then make your own.
Simplified redraw
Drawn by us from the numbers below. Hover, tap or use the arrow keys.A simplified redraw: it shows the numbers in our own look, not the look of the original. One accent marks what the chart is about. Values marked with ~ in the table are estimates.
The numbers
First 10 of 58 points are free| Group | Series | Value (s) | Source | Conf. |
|---|---|---|---|---|
| Grok 4 | 'Thinking' time (reasoning models) | 3.8 | Estimate | 0.97 |
| Fast | 'Thinking' time (reasoning models) | 3.9 | Estimate | 0.97 |
| Llama 4 Maverick | 'Thinking' time (reasoning models) | 4.5 | Estimate | 0.97 |
| GPT-4.1 | 'Thinking' time (reasoning models) | 4.6 | Estimate | 0.97 |
| Mistral (minimal) | 'Thinking' time (reasoning models) | 7.7 | Estimate | 0.97 |
| Mistral Medium | 'Thinking' time (reasoning models) | ~8.4 | Estimate | 0.50 |
| Kim K2 0905 | 'Thinking' time (reasoning models) | ~9 | Estimate | 0.30 |
| Grok Code Fast 1 | 'Thinking' time (reasoning models) | ~10.7 | Estimate | 0.30 |
| gpt-oss-120b (high) | 'Thinking' time (reasoning models) | 11.8 | Estimate | 0.97 |
| gpt-oss-120b (high) | Input processing time | ~13.6 | Estimate | 0.30 |
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| gpt-oss-120b (high) | Outputting time | ~14.1 | Estimate | 0.30 |
|---|---|---|---|---|
| o3 | 'Thinking' time (reasoning models) | 16.3 | Estimate | 0.97 |
| Grok 4 | 'Thinking' time (reasoning models) | 25.5 | Estimate | 0.90 |
| DeepSeek V3.1 | 'Thinking' time (reasoning models) | 28 | Estimate | 0.97 |
| Gemini 2.5 Flash | 'Thinking' time (reasoning models) | 33.3 | Estimate | 0.97 |
| Gemini 2.5 Pro | 'Thinking' time (reasoning models) | 36.1 | Estimate | 0.97 |
| Qwen3 235B A22B | 'Thinking' time (reasoning models) | 48.4 | Estimate | 0.97 |
| Claude 4 Sonnet | 'Thinking' time (reasoning models) | 51.3 | Estimate | 0.97 |
| Claude 4.1 Opus | 'Thinking' time (reasoning models) | 60.9 | Estimate | 0.97 |
| GPT-5 (high) | 'Thinking' time (reasoning models) | 71.3 | Estimate | 0.97 |
| DeepSeek V3.1 | 'Thinking' time (reasoning models) | ~98.3 | Estimate | 0.30 |
| DeepSeek V3.1 | Input processing time | 24.9 | Estimate | 0.97 |
| DeepSeek V3.1 | Outputting time | ~26.6 | Estimate | 0.30 |
| gpt-oss-20B (high) | 'Thinking' time (reasoning models) | ~10.7 | Estimate | 0.50 |
| Grok 4 | Input processing time | ~0 | Estimate | 0.30 |
| Fast | Input processing time | ~0 | Estimate | 0.30 |
| Llama 4 Maverick | Input processing time | ~0 | Estimate | 0.30 |
| GPT-4.1 | Input processing time | ~0 | Estimate | 0.30 |
| Mistral Medium | Input processing time | ~0 | Estimate | 0.30 |
| Kim K2 0905 | Input processing time | ~0 | Estimate | 0.30 |
| Grok Code Fast 1 | Input processing time | ~0 | Estimate | 0.30 |
| gpt-oss-20B (high) | Input processing time | ~0 | Estimate | 0.30 |
| o3 | Input processing time | ~0 | Estimate | 0.30 |
| Grok 4 | Input processing time | ~11.7 | Estimate | 0.50 |
| Gemini 2.5 Flash | Input processing time | ~0 | Estimate | 0.30 |
| Gemini 2.5 Pro | Input processing time | ~0 | Estimate | 0.30 |
| Qwen3 235B A22B | Input processing time | ~0 | Estimate | 0.30 |
| Claude 4 Sonnet | Input processing time | ~0 | Estimate | 0.30 |
| Claude 4.1 Opus | Input processing time | ~0 | Estimate | 0.30 |
| GPT-5 (high) | Input processing time | ~0 | Estimate | 0.30 |
| DeepSeek V3.1 | Input processing time | ~0 | Estimate | 0.30 |
| Grok 4 | Outputting time | ~0 | Estimate | 0.30 |
| Fast | Outputting time | ~0 | Estimate | 0.30 |
| Llama 4 Maverick | Outputting time | ~0 | Estimate | 0.30 |
| GPT-4.1 | Outputting time | ~0 | Estimate | 0.30 |
| Mistral Medium | Outputting time | ~0 | Estimate | 0.30 |
| Kim K2 0905 | Outputting time | ~0 | Estimate | 0.30 |
| Grok Code Fast 1 | Outputting time | ~0 | Estimate | 0.30 |
| gpt-oss-20B (high) | Outputting time | ~0 | Estimate | 0.30 |
| o3 | Outputting time | ~0 | Estimate | 0.30 |
| Grok 4 | Outputting time | ~14.1 | Estimate | 0.50 |
| Gemini 2.5 Flash | Outputting time | ~0 | Estimate | 0.30 |
| Gemini 2.5 Pro | Outputting time | ~0 | Estimate | 0.30 |
| Qwen3 235B A22B | Outputting time | ~0 | Estimate | 0.30 |
| Claude 4 Sonnet | Outputting time | ~0 | Estimate | 0.30 |
| Claude 4.1 Opus | Outputting time | ~0 | Estimate | 0.30 |
| GPT-5 (high) | Outputting time | ~0 | Estimate | 0.30 |
| DeepSeek V3.1 | Outputting time | ~0 | Estimate | 0.30 |
Max subscribers get the same data by API. API docs
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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 9c4d4cc0d2c5.
| Path | Returns | Plan | |
|---|---|---|---|
| GET | /api/v1/charts/9c4d4cc0d2c5 | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/9c4d4cc0d2c5/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/9c4d4cc0d2c5/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/9c4d4cc0d2c5/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 accurate are these numbers?
They are estimated from the image by two independent passes, with confidence 0.50 on a 0 to 1 scale. Printed numbers read well; values read off an axis can be a few percent off.
Can I reuse this data?
The numbers describe a chart that artificial-analysis published. The image, layout and styling belong to them. Use the numbers with a credit to the publisher, and make your picture from your own data.
How do I get the file?
The JSON, CSV and agent skill file are under the email gate on this page. In this prototype they are static files at /api/charts/9c4d4cc0d2c5.json and /api/charts/9c4d4cc0d2c5.skill.md.