183 models ranked for analytics and BI. Scored with bonuses for reasoning (data interpretation), JSON mode (structured output), vision (chart analysis), large context, function calling, and streaming.
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.7 (Fast)Anthropic | 95 |
| 2 | Claude Opus 4.7Anthropic | 95 |
| 3 | GPT-5.5OpenAI | 93 |
| 4 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 92 |
| 5 | Gemini 3.1 Pro PreviewGoogle | 92 |
| 6 | GPT-5.4 ProOpenAI | 92 |
| 7 | GPT-5.4OpenAI | 92 |
| 8 | GPT-5.5 ProOpenAI | 91 |
| 9 | GPT-5.2 ProOpenAI | 91 |
| 10 | Claude Opus 4.6 (Fast)Anthropic | 90 |
| 11 | Claude Opus 4.6Anthropic | 90 |
| 12 | GPT-5.2-CodexOpenAI | 90 |
| 13 | GPT-5.2OpenAI | 90 |
| 14 | Grok 4.20xAI | 89 |
| 15 | GPT-5.3-CodexOpenAI | 89 |
| 16 | GPT-5 ProOpenAI | 89 |
| 17 | Gemini 3 Flash PreviewGoogle | 88 |
| 18 | Grok 4xAI | 88 |
| 19 | GPT-5.1-Codex-MaxOpenAI | 88 |
| 20 | GPT-5 CodexOpenAI | 88 |
| 21 | GPT-5OpenAI | 88 |
| 22 | GPT-5.1OpenAI | 87 |
| 23 | GPT-5.1-CodexOpenAI | 87 |
| 24 | GPT-5.1-Codex-MiniOpenAI | 87 |
| 25 | o3 Deep ResearchOpenAI | 87 |
| 26 | o3 ProOpenAI | 87 |
| 27 | o3OpenAI | 87 |
| 28 | Claude Sonnet 4.6Anthropic | 85 |
| 29 | Claude Opus 4.5Anthropic | 85 |
| 30 | Grok 4.20 Multi-AgentxAI | 88 |
Generate complex SQL queries, optimize slow queries, and translate natural language questions into database queries. Reasoning models explain query plans and suggest indexes.
Vision models analyze charts and dashboards to extract trends, anomalies, and actionable insights. Upload a screenshot and get a detailed analysis.
Build forecasting models, analyze trends, and generate statistical summaries. JSON mode produces structured predictions compatible with BI tools.
Generate executive summaries, KPI reports, and data narratives. Function calling integrates with data sources to pull live metrics into reports.
AI models complement rather than replace BI tools. They excel at natural language querying ("show me Q4 revenue by region"), generating SQL from plain English, and explaining trends in narrative form. Use them alongside BI platforms for the best of both worlds.
Reasoning is critical for multi-step analysis and statistical inference. JSON mode enables structured output that feeds directly into dashboards. Function calling allows querying databases and APIs programmatically. Large context windows handle big datasets in a single prompt.
AI models handle descriptive statistics, trend identification, and pattern recognition well. For complex statistical tests (regression, hypothesis testing), verify results against dedicated tools like R or Python scipy. Models with reasoning show higher accuracy on multi-step calculations.
Models with code generation capabilities can produce Python matplotlib, D3.js, or Vega-Lite chart code. Some vision-capable models can also analyze existing charts and suggest improvements. For automated dashboards, combine function calling with charting libraries.