Best For/Best AI for Analysis
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Best AI for Analysis

GPT-5.2 (xhigh) leads AI data analysis in 2026 — Math Index 99, AIME 2025 99%. GPT-5 Codex (high) 98.7, Gemini 3 Flash Preview (Reasoning) 97 compared. Live ranking of 500+ models by Math Index, GPQA Diamond, AIME, and SciCode accuracy. Free.

Mathematical reasoningScientific accuracyData interpretationStructured output quality
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Scoring Weights for Best AI for Analysis

Models are scored using a weighted combination of benchmarks, pricing, and speed metrics relevant to this use case.

Math Index
21%
AIME 2025
14%
MATH-500
14%
GPQA Diamond
11%
SciCode
11%
Price
15%
Speed
10%
Latency
5%

💡 Tips

  • •For complex statistical analysis, prioritize models with high Math Index and AIME scores
  • •Models with strong GPQA performance handle domain-specific scientific questions better
  • •Consider using JSON mode for structured data extraction tasks

⚠️ Things to Consider

  • •Always verify numerical results — even top models can make arithmetic errors
  • •Complex multi-step analyses benefit from chain-of-thought prompting

Frequently Asked Questions

Which AI model is best for data analysis?

Models with the highest Math Index and AIME scores excel at quantitative analysis. For scientific research, also consider GPQA Diamond and SciCode performance.

Can AI models handle complex statistical analysis?

Yes, top-tier models can perform regression analysis, hypothesis testing, and data visualization code generation. However, always verify results for critical decisions.

Should I use AI for financial analysis?

AI models are great for pattern recognition, report generation, and preliminary analysis. For financial decisions, always combine AI insights with human expertise and verified data sources.

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