- Chart data
- artificial-analysis
- Score by Benchmark
Score by Benchmark
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 57 points are free| Group | Series | Value (score) | Source | Conf. |
|---|---|---|---|---|
| Codex GPT-5o Pro | DeepSWE | ~63 | Estimate | 0.50 |
| Codex GPT-5o Pro | Terminal-Bench v2 | ~80 | Estimate | 0.50 |
| Codex GPT-5o Pro | SWE-Atlas-QnA | ~84 | Estimate | 0.50 |
| Codex GPT-5.1 Sol (multi) | DeepSWE | ~63 | Estimate | 0.50 |
| Codex GPT-5.1 Sol (multi) | Terminal-Bench v2 | ~80 | Estimate | 0.50 |
| Codex GPT-5.1 Sol (multi) | SWE-Atlas-QnA | ~84 | Estimate | 0.50 |
| Claude Code Fable 5 (with fallback) | DeepSWE | ~63 | Estimate | 0.30 |
| Claude Code Fable 5 (with fallback) | Terminal-Bench v2 | ~80 | Estimate | 0.30 |
| Claude Code Fable 5 (with fallback) | SWE-Atlas-QnA | ~84 | Estimate | 0.30 |
| Codex GPT-5.5 (multi) | DeepSWE | ~63 | Estimate | 0.30 |
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| Codex GPT-5.5 (multi) | Terminal-Bench v2 | ~80 | Estimate | 0.30 |
|---|---|---|---|---|
| Codex GPT-5.5 (multi) | SWE-Atlas-QnA | ~84 | Estimate | 0.30 |
| Grok Build Grok 4.5 (high) | DeepSWE | ~63 | Estimate | 0.30 |
| Grok Build Grok 4.5 (high) | Terminal-Bench v2 | ~80 | Estimate | 0.30 |
| Grok Build Grok 4.5 (high) | SWE-Atlas-QnA | ~84 | Estimate | 0.30 |
| Codex GPT-5.6 Luna (high) | DeepSWE | ~63 | Estimate | 0.50 |
| Codex GPT-5.6 Luna (high) | Terminal-Bench v2 | ~80 | Estimate | 0.50 |
| Codex GPT-5.6 Luna (high) | SWE-Atlas-QnA | ~84 | Estimate | 0.50 |
| Claude Code Opus 4.8 (high) | DeepSWE | ~63 | Estimate | 0.30 |
| Claude Code Opus 4.8 (high) | Terminal-Bench v2 | ~80 | Estimate | 0.30 |
| Claude Code Opus 4.8 (high) | SWE-Atlas-QnA | ~84 | Estimate | 0.30 |
| Gemini CLI GLM-5.2 (high) | DeepSWE | ~63 | Estimate | 0.50 |
| Gemini CLI GLM-5.2 (high) | Terminal-Bench v2 | ~80 | Estimate | 0.50 |
| Gemini CLI GLM-5.2 (high) | SWE-Atlas-QnA | ~84 | Estimate | 0.50 |
| Cursor CLI Composer 2.5 (high) | DeepSWE | ~63 | Estimate | 0.30 |
| Cursor CLI Composer 2.5 (high) | Terminal-Bench v2 | ~80 | Estimate | 0.30 |
| Cursor CLI Composer 2.5 (high) | SWE-Atlas-QnA | ~84 | Estimate | 0.30 |
| DeepSeek V4 (high) | DeepSWE | ~63 | Estimate | 0.50 |
| DeepSeek V4 (high) | Terminal-Bench v2 | ~80 | Estimate | 0.50 |
| DeepSeek V4 (high) | SWE-Atlas-QnA | ~84 | Estimate | 0.50 |
| Claude Code Composer 2 (high) | DeepSWE | ~63 | Estimate | 0.50 |
| Claude Code Composer 2 (high) | Terminal-Bench v2 | ~80 | Estimate | 0.50 |
| Claude Code Composer 2 (high) | SWE-Atlas-QnA | ~84 | Estimate | 0.50 |
| Gemini CLI Gemini 3.1 (high) | DeepSWE | ~63 | Estimate | 0.30 |
| Gemini CLI Gemini 3.1 (high) | Terminal-Bench v2 | ~80 | Estimate | 0.30 |
| Gemini CLI Gemini 3.1 (high) | SWE-Atlas-QnA | ~84 | Estimate | 0.30 |
| Claude Code Kimi K2.6 (with fallback) | DeepSWE | ~63 | Estimate | 0.30 |
| Claude Code Kimi K2.6 (with fallback) | Terminal-Bench v2 | ~80 | Estimate | 0.30 |
| Claude Code Kimi K2.6 (with fallback) | SWE-Atlas-QnA | ~84 | Estimate | 0.30 |
| Codex GPT-5 Pro | DeepSWE | ~39 | Estimate | 0.50 |
| Codex GPT-5 Sol | DeepSWE | ~39 | Estimate | 0.50 |
| Codex GPT-5 Fast | DeepSWE | ~39 | Estimate | 0.50 |
| Gemini CLI 2.5 | DeepSWE | ~39 | Estimate | 0.50 |
| Claude Code DeepSeek V4 | DeepSWE | ~39 | Estimate | 0.50 |
| Cursor CLI 2.5 | DeepSWE | ~39 | Estimate | 0.50 |
| Codex GPT-5 Pro | Terminal-Bench v2 | ~39 | Estimate | 0.50 |
| Codex GPT-5 Sol | Terminal-Bench v2 | ~39 | Estimate | 0.50 |
| Codex GPT-5 Fast | Terminal-Bench v2 | ~39 | Estimate | 0.50 |
| Gemini CLI 2.5 | Terminal-Bench v2 | ~39 | Estimate | 0.50 |
| Claude Code DeepSeek V4 | Terminal-Bench v2 | ~39 | Estimate | 0.50 |
| Cursor CLI 2.5 | Terminal-Bench v2 | ~39 | Estimate | 0.50 |
| Codex GPT-5 Pro | SWE-Atlas-QnA | ~39 | Estimate | 0.50 |
| Codex GPT-5 Sol | SWE-Atlas-QnA | ~39 | Estimate | 0.50 |
| Codex GPT-5 Fast | SWE-Atlas-QnA | ~39 | Estimate | 0.50 |
| Gemini CLI 2.5 | SWE-Atlas-QnA | ~39 | Estimate | 0.50 |
| Claude Code DeepSeek V4 | SWE-Atlas-QnA | ~39 | Estimate | 0.50 |
| Cursor CLI 2.5 | SWE-Atlas-QnA | ~39 | 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 9c3109c55076.
Approximate values. Our two readings of this chart agreed only in part (confidence 0.43 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/9c3109c55076 | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/9c3109c55076/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/9c3109c55076/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/9c3109c55076/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.
Make one like this
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Pick the form
A simplified form: our own look, not the look of the original. Your numbers start from this chart's data.
Swap in your numbers
These are this chart's own names and numbers so you can see the shape. Type over any name or number; the preview redraws as you go. Replace every one with yours before you post.
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 OpenAI
All chart dataQuestions people ask
How accurate are these numbers?
They are estimated from the image by two independent passes, with confidence 0.43 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/9c3109c55076.json and /api/charts/9c3109c55076.skill.md.