This article was originally published on LinkedIn.

I was curious to see if I could get ChatGPT to recommend the best large language model for doing NetSuite financial analysis.

But instead of just asking for an opinion, I gave it a role - an independent AI systems analyst - and a challenge: Figure out which model truly fits the job.

It didn't just spit out an answer. It started asking me questions - thoughtful questions that helped it figure out what actually mattered for my use case.

How would the AI connect to NetSuite? Would users run it inside ChatGPT or through a private deployment? Should the outputs be tightly structured or more narrative? Would accuracy matter more than tone or style? How often would these reports be generated?

By the end of the exchange, the goal was clear: a system capable of producing accurate, board-ready financial reports - complete with Chart.js visualizations and polished HTML formatting - all powered by live NetSuite data via an MCP connection.

Then it gave me its opinion. Here it is...

The Top AI Models for NetSuite Financial Analysis

1. OpenAI GPT-4o

If presentation quality and integration reliability matter most, GPT-4o is hard to beat.

It combines strong financial reasoning with top-tier HTML and Chart.js generation. It handles structured output well, supports long contexts (128K), and integrates smoothly with NetSuite through the MCP connector.

  • Excellent at turning raw NetSuite data into clear, accurate, and visually polished reports
  • Robust at generating Chart.js and HTML code
  • Entirely cloud-hosted (no private deployment option)

Best for: Teams who prioritize precision and presentation quality and are comfortable with cloud processing through the MCP connection.

2. Anthropic Claude 3.5 (Sonnet / Opus)

If accuracy, explainability, and conservative reasoning matter more than visual polish, Claude 3.5 is a strong contender.

It's particularly good at following instructions like "use only the data provided" - reducing hallucination risk in financial contexts. The narrative tone is formal and CFO-friendly.

  • Excellent factual reliability and summarization
  • Strong adherence to structured prompts and data boundaries
  • HTML / Chart.js generation isn't quite as refined as GPT-4o

Best for: Teams that value accuracy, transparency, and careful, data-driven reporting.

The Trade-Offs

In short:

  • GPT-4o is best when you need data-driven stories that look great.
  • Claude 3.5 is best when you need stories that stay grounded and conservative.

Why This Matters

For anyone building NetSuite-connected AI workflows - especially for financial analysis - model choice is extremely important. The model needs to be able to balance reasoning depth, accuracy, and trust.

Whether you're generating a variance report, a board summary, or a working-capital dashboard, these models can transform raw NetSuite data into meaningful insight - but only if you guide them with the right prompts, structure, and guardrails.