- Chart data
- artificial-analysis
- Cost (USD) to Run all Evaluations in the Artificial Analysis
Cost (USD) to Run all Evaluations in the Artificial Analysis Intelligence Index
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 78 points are free| Group | Series | Value (USD) | Source | Conf. |
|---|---|---|---|---|
| Grok 4 (Turbo endpoint) | Input Cost | ~1725 | Estimate | 0.30 |
| Grok 4 Fast | Output Cost | ~48 | Estimate | 0.30 |
| Grok 4 | Reasoning Cost | ~934 | Estimate | 0.30 |
| Kimi K2 Thinking | Input Cost | ~1063 | Estimate | 0.30 |
| Kimi K2 Thinking | Output Cost | ~134 | Estimate | 0.65 |
| Kimi K2 Thinking | Reasoning Cost | ~0 | Estimate | 0.30 |
| Gemini 2.5 Pro | Input Cost | ~888 | Estimate | 0.30 |
| Gemini 2.5 Pro | Output Cost | ~284 | Estimate | 0.30 |
| Gemini 2.5 Pro | Reasoning Cost | ~0 | Estimate | 0.30 |
| Qwen3-2350-A22B (high) | Input Cost | ~934 | Estimate | 0.50 |
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The full table, the JSON, a CSV and the agent skill file for this chart. These are Max in the plan; while this is a prototype your email unlocks them.
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| Qwen3-2350-A22B (high) | Output Cost | ~0 | Estimate | 0.30 |
|---|---|---|---|---|
| Qwen3-2350-A22B (high) | Reasoning Cost | ~0 | Estimate | 0.30 |
| GPT-5.1 (high) | Input Cost | ~823 | Estimate | 0.30 |
| GPT-5.1 (high) | Output Cost | ~111 | Estimate | 0.30 |
| GPT-5.1 (high) | Reasoning Cost | ~0 | Estimate | 0.30 |
| Grok 4.5 (high) | Input Cost | ~829 | Estimate | 0.50 |
| Grok 4.5 (high) | Output Cost | ~0 | Estimate | 0.30 |
| Grok 4.5 (high) | Reasoning Cost | ~0 | Estimate | 0.30 |
| Claude 4.5 Sonnet | Input Cost | ~748 | Estimate | 0.30 |
| Claude 4.5 Sonnet | Output Cost | ~69 | Estimate | 0.30 |
| Claude 4.5 Sonnet | Reasoning Cost | ~0 | Estimate | 0.30 |
| Mistral Medium 3.1 | Input Cost | ~516 | Estimate | 0.50 |
| Mistral Medium 3.1 | Output Cost | ~0 | Estimate | 0.30 |
| Mistral Medium 3.1 | Reasoning Cost | ~0 | Estimate | 0.30 |
| DeepSeek R1-0528 | Input Cost | ~497 | Estimate | 0.30 |
| DeepSeek R1-0528 | Output Cost | ~0 | Estimate | 0.30 |
| DeepSeek R1-0528 | Reasoning Cost | ~0 | Estimate | 0.30 |
| Claude 4.5 Opus | Input Cost | ~382 | Estimate | 0.50 |
| Claude 4.5 Opus | Output Cost | ~0 | Estimate | 0.30 |
| Claude 4.5 Opus | Reasoning Cost | ~0 | Estimate | 0.30 |
| GLM-4.6 | Input Cost | ~317 | Estimate | 0.30 |
| GLM-4.6 | Output Cost | ~0 | Estimate | 0.30 |
| GLM-4.6 | Reasoning Cost | ~0 | Estimate | 0.30 |
| Gemini 2.5 Flash | Input Cost | ~262 | Estimate | 0.30 |
| Gemini 2.5 Flash | Output Cost | ~0 | Estimate | 0.30 |
| Gemini 2.5 Flash | Reasoning Cost | ~0 | Estimate | 0.30 |
| MiniMax-M2 | Input Cost | ~225 | Estimate | 0.30 |
| MiniMax-M2 | Output Cost | ~0 | Estimate | 0.30 |
| MiniMax-M2 | Reasoning Cost | ~0 | Estimate | 0.30 |
| EXAONE-4.0 | Input Cost | ~192 | Estimate | 0.30 |
| EXAONE-4.0 | Output Cost | ~0 | Estimate | 0.30 |
| EXAONE-4.0 | Reasoning Cost | ~0 | Estimate | 0.30 |
| GPT-5 (mini) | Input Cost | ~159 | Estimate | 0.30 |
| GPT-5 (mini) | Output Cost | ~0 | Estimate | 0.30 |
| GPT-5 (mini) | Reasoning Cost | ~0 | Estimate | 0.30 |
| Kimi K2 | Input Cost | ~132 | Estimate | 0.50 |
| Kimi K2 | Output Cost | ~0 | Estimate | 0.30 |
| Kimi K2 | Reasoning Cost | ~0 | Estimate | 0.30 |
| Kimi K2 0905 | Input Cost | ~117 | Estimate | 0.50 |
| Kimi K2 0905 | Output Cost | ~0 | Estimate | 0.30 |
| Kimi K2 0905 | Reasoning Cost | ~0 | Estimate | 0.30 |
| gpt-oss-120b | Input Cost | ~108 | Estimate | 0.30 |
| gpt-oss-120b (low) | Output Cost | ~21 | Estimate | 0.30 |
| gpt-oss-120b | Reasoning Cost | ~0 | Estimate | 0.30 |
| gpt-oss-20b | Input Cost | ~76 | Estimate | 0.30 |
| gpt-oss-20b (low) | Output Cost | ~35 | Estimate | 0.30 |
| gpt-oss-20b | Reasoning Cost | ~0 | Estimate | 0.30 |
| Nebius Qwen3 30B A3B | Input Cost | ~48 | Estimate | 0.50 |
| Nebius Qwen3 30B A3B | Output Cost | ~0 | Estimate | 0.30 |
| Nebius Qwen3 30B A3B | Reasoning Cost | ~0 | Estimate | 0.30 |
| Llama 4.1 Maverick | Input Cost | ~41 | Estimate | 0.30 |
| Llama 4.1 Maverick | Output Cost | ~0 | Estimate | 0.30 |
| Llama 4.1 Maverick | Reasoning Cost | ~0 | Estimate | 0.30 |
| DeepSeek V3.2 Exp | Input Cost | ~40 | Estimate | 0.30 |
| DeepSeek V3.2 Exp | Output Cost | ~0 | Estimate | 0.30 |
| DeepSeek V3.2 Exp | Reasoning Cost | ~0 | Estimate | 0.30 |
| Grok 4 Fast | Input Cost | ~35 | Estimate | 0.50 |
| Grok 4 Fast | Output Cost | ~0 | Estimate | 0.30 |
| Grok 4 Fast | Reasoning Cost | ~0 | Estimate | 0.30 |
| Qwen3-2350-A22B (high) | Input Cost | ~21 | Estimate | 0.50 |
| Qwen3-2350-A22B (high) | Output Cost | ~0 | Estimate | 0.30 |
| Qwen3-2350-A22B (high) | Reasoning Cost | ~0 | Estimate | 0.30 |
| Qwen3 235B A22B (high) | ~1063 | Estimate | 0.50 | |
| GPT-5.1 (medium) | ~823 | Estimate | 0.50 | |
| Mistral Medium 3 | ~748 | Estimate | 0.50 | |
| Claude 4.5 Haiku | ~497 | Estimate | 0.50 | |
| Nemotron Super 49B v1.5 | ~117 | Estimate | 0.50 | |
| Llama 4.1 Scout | ~41 | 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 99f9f834dd02.
Approximate values. Our two readings of this chart agreed only in part (confidence 0.34 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/99f9f834dd02 | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/99f9f834dd02/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/99f9f834dd02/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/99f9f834dd02/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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More data from Kimi (Moonshot AI)
All chart dataQuestions people ask
How accurate are these numbers?
They are estimated from the image by two independent passes, with confidence 0.34 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/99f9f834dd02.json and /api/charts/99f9f834dd02.skill.md.