- Chart data
- Performance comparison across internal models
Performance comparison across internal models
The numbers behind a chart Mistral AI 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 50 points are free| Group | Series | Value | Source | Conf. |
|---|---|---|---|---|
| Mistral Small 4 | Instruct | 60.1 | Estimate | 0.50 |
| Mistral Small 4 | Reasoning | 71.2 | Estimate | 0.50 |
| Mistral Small 3.2 | Instruct | 50 | Estimate | 0.50 |
| Mistral Medium 3.1 | Instruct | 65.7 | Estimate | 0.50 |
| Mistral Large 3 | Instruct | 64.1 | Estimate | 0.50 |
| Mistral Small 4 | Instruct | 73.5 | Estimate | 0.50 |
| Mistral Small 4 | Reasoning | 78 | Estimate | 0.50 |
| Mistral Small 3.2 | Instruct | 69 | Estimate | 0.50 |
| Mistral Medium 3.1 | Instruct | 76.8 | Estimate | 0.50 |
| Mistral Large 3 | Instruct | 80.9 | Estimate | 0.50 |
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| Mistral Small 4 | Instruct | 38.7 | Estimate | 0.50 |
|---|---|---|---|---|
| Mistral Small 4 | Reasoning | 48 | Estimate | 0.50 |
| Mistral Small 3.2 | Instruct | 34 | Estimate | 0.50 |
| Mistral Medium 3.1 | Instruct | 40.8 | Estimate | 0.50 |
| Mistral Large 3 | Instruct | 37.8 | Estimate | 0.50 |
| Mistral Small 4 | Instruct | 55.8 | Estimate | 0.50 |
| Mistral Small 4 | Reasoning | 58.3 | Estimate | 0.50 |
| Mistral Small 3.2 | Instruct | 43.1 | Estimate | 0.50 |
| Mistral Medium 3.1 | Instruct | 67.3 | Estimate | 0.50 |
| Mistral Large 3 | Instruct | 66.7 | Estimate | 0.50 |
| Mistral Small 4 | Instruct | 46.3 | Estimate | 0.50 |
| Mistral Small 4 | Reasoning | 60 | Estimate | 0.50 |
| Mistral Small 3.2 | Instruct | 49.1 | Estimate | 0.50 |
| Mistral Medium 3.1 | Instruct | 43.8 | Estimate | 0.50 |
| Mistral Large 3 | Instruct | 54 | Estimate | 0.50 |
| GPQA Diamond - Mistral Small 4 | Instruct | 50.1 | Estimate | 0.50 |
| MMLU Pro - Mistral Small 4 | Instruct | 73.5 | Estimate | 0.50 |
| AI2 AI2 IFBench - Mistral Small 4 | Instruct | 38.7 | Estimate | 0.50 |
| Arena Hard - Mistral Small 4 | Instruct | 55.8 | Estimate | 0.50 |
| MMMU-Pro - Mistral Small 4 | Instruct | 46.3 | Estimate | 0.50 |
| GPQA Diamond - Mistral Small 4 | Reasoning | 71.2 | Estimate | 0.50 |
| GPQA Diamond - Mistral Small 3.2 | Reasoning | 50 | Estimate | 0.50 |
| GPQA Diamond - Mistral Medium 3.1 | Reasoning | 65.7 | Estimate | 0.50 |
| GPQA Diamond - Mistral Large 3 | Reasoning | 64.1 | Estimate | 0.50 |
| MMLU Pro - Mistral Small 4 | Reasoning | 78 | Estimate | 0.50 |
| MMLU Pro - Mistral Small 3.2 | Reasoning | 69 | Estimate | 0.50 |
| MMLU Pro - Mistral Medium 3.1 | Reasoning | 76.8 | Estimate | 0.50 |
| MMLU Pro - Mistral Large 3 | Reasoning | 80.9 | Estimate | 0.50 |
| AI2 AI2 IFBench - Mistral Small 4 | Reasoning | 48 | Estimate | 0.50 |
| AI2 AI2 IFBench - Mistral Small 3.2 | Reasoning | 34 | Estimate | 0.50 |
| AI2 AI2 IFBench - Mistral Medium 3.1 | Reasoning | 40.8 | Estimate | 0.50 |
| AI2 AI2 IFBench - Mistral Large 3 | Reasoning | 37.8 | Estimate | 0.50 |
| Arena Hard - Mistral Small 4 | Reasoning | 58.3 | Estimate | 0.50 |
| Arena Hard - Mistral Small 3.2 | Reasoning | 43.1 | Estimate | 0.50 |
| Arena Hard - Mistral Medium 3.1 | Reasoning | 67.3 | Estimate | 0.50 |
| Arena Hard - Mistral Large 3 | Reasoning | 66.7 | Estimate | 0.50 |
| MMMU-Pro - Mistral Small 4 | Reasoning | 60 | Estimate | 0.50 |
| MMMU-Pro - Mistral Small 3.2 | Reasoning | 49.1 | Estimate | 0.50 |
| MMMU-Pro - Mistral Medium 3.1 | Reasoning | 43.8 | Estimate | 0.50 |
| MMMU-Pro - Mistral Large 3 | Reasoning | 54 | Estimate | 0.50 |
Max subscribers get the same data by API. API docs
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 8d82272646cb.
| Path | Returns | Plan | |
|---|---|---|---|
| GET | /api/v1/charts/8d82272646cb | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/8d82272646cb/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/8d82272646cb/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/8d82272646cb/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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Swap in your numbers
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These are this chart's numbers so you can see the shape. Replace every one with yours before you post.
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More data from Mistral AI
All chart dataQuestions people ask
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 Mistral AI 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/8d82272646cb.json and /api/charts/8d82272646cb.skill.md.