The top AI models for creating charts, dashboards和visual reports, ranked by composite score with bonuses for vision, image generation, and structured data capabilities。
263
Viz Models
140
With Vision
6
Image Output
8
Free Models
| # | Model | Score |
|---|---|---|
| 1 | GPT-5.5 ProOpenAI | 100 |
| 2 | GPT-5.5OpenAI | 100 |
| 3 | Claude Opus 4.7Anthropic | 100 |
| 4 | Claude Opus 4.6 (Fast)Anthropic | 100 |
| 5 | Grok 4.20 Multi-AgentxAI | 100 |
| 6 | Grok 4.20xAI | 100 |
| 7 | GPT-5.4 ProOpenAI | 100 |
| 8 | GPT-5.4OpenAI | 100 |
| 9 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 100 |
| 10 | GPT-5.3-CodexOpenAI | 100 |
| 11 | Gemini 3.1 Pro PreviewGoogle | 100 |
| 12 | Claude Sonnet 4.6Anthropic | 100 |
| 13 | Claude Opus 4.6Anthropic | 100 |
| 14 | GPT-5.2-CodexOpenAI | 100 |
| 15 | Gemini 3 Flash PreviewGoogle | 100 |
| 16 | GPT-5.2 ProOpenAI | 100 |
| 17 | GPT-5.2OpenAI | 100 |
| 18 | GPT-5.1-Codex-MaxOpenAI | 100 |
| 19 | Claude Opus 4.5Anthropic | 100 |
| 20 | GPT-5.1OpenAI | 100 |
| 21 | GPT-5.1-CodexOpenAI | 100 |
| 22 | GPT-5.1-Codex-MiniOpenAI | 100 |
| 23 | o3 Deep ResearchOpenAI | 100 |
| 24 | GPT-5 ProOpenAI | 100 |
| 25 | GPT-5 CodexOpenAI | 100 |
| 26 | GPT-5OpenAI | 100 |
| 27 | Grok 4xAI | 100 |
| 28 | o3 ProOpenAI | 100 |
| 29 | o3OpenAI | 100 |
| 30 | GPT-5.3 ChatOpenAI | 99 |
AI models with image output capabilities can generate custom charts, graphs, and infographics from raw data. Describe your data and desired visualization style, and AI produces publication-ready charts as images or SVG code.
Vision-capable models can analyze existing dashboards, charts, and visual reports. Upload a screenshot or image of your dashboard to extract insights, identify trends, or get suggestions for improving layout and visual hierarchy.
Use AI to transform raw data into compelling visual narratives. Models with reasoning can suggest the most impactful chart type, highlight key insights, and help you craft data stories that resonate with your audience.
Combine AI with JSON mode to generate structured chart specifications, axis labels, color palettes, and data mappings. Export as code (D3.js, Matplotlib, Plotly) to automate report generation and visualization pipelines.
Models with 128K+ token context can process entire datasets, spreadsheets, and historical reports in a single prompt. This enables holistic visualization that captures patterns across large volumes of data without loss of context.
Compare specific models head-to-head, explore pricing details, or filter by capabilities on the full leaderboard.
模型可以为D3.js、Chart.js、Plotly和Vega-Lite生成代码来创建交互式可视化。它们编写Python matplotlib脚本用于静态图表，React组件用于Web仪表板。
具有推理能力的模型理解数据可视化原则，为不同数据关系选择合适的图表类型，避免误导性的可视化。视觉模型可以评判现有的可视化。
可以，用自然语言描述数据和目标，模型会生成完整的仪表板布局，包括SQL查询、图表配置和布局代码。
大输出容量的模型编写将数据见解融入引人入胜故事的叙述报告。它们生成执行摘要、突出关键趋势并创建演示就绪的内容。