
Best LLMs For Data Analysis: Overview, Tables and Costs
As someone deeply interested in AI and data analysis, I've been watching the LLM space evolve rapidly. While I haven't personally tested all these models (hey, who has the budget for that?), I've compiled this guide based on comprehensive research and available data to help you navigate the current landscape of LLMs for data analysis.
What are the best LLMs for Data Analysis?
When it comes to crunching numbers and making sense of data, not all LLMs are created equal. You'll want something that can handle large datasets, understand context, and provide accurate insights. Here's what I found to be the top contenders in the current market:
Model | Context Window | Price (Input/Output) | Best For |
---|---|---|---|
Claude 3 Opus | 200K tokens | $15/$75 per 1M tokens | Enterprise-level analysis |
Gemini 1.5 Pro Preview | 1M tokens | $0.08/$0.31 per 1M tokens | Large dataset analysis |
Mistral Large Latest | 128K tokens | $3/$9 per 1M tokens | Mid-size projects |
Claude 3 Haiku | 200K tokens | $0.25/$1.25 per 1M tokens | Quick analysis |
GPT-4O Mini | 128K tokens | $0.15/$0.6 per 1M tokens | Routine tasks |

Anthropic - Claude 3 Opus
Think of Claude 3 Opus as the premium sports car of LLMs. It's not cheap, but it's built for performance. With a massive 200K token context window, it can handle complex data analysis tasks while maintaining high accuracy. The steep price tag ($15/$75 per 1M tokens) means you'll want to save this one for when precision really matters.
Context Window | 200K tokens |
Input Cost | $15 per 1M tokens |
Output Cost | $75 per 1M tokens |
Key Strength | Complex reasoning |

Google - Gemini 1.5 Pro Preview
Now here's a pleasant surprise - Gemini 1.5 Pro Preview offers an enormous 1M token context window at a fraction of the cost of its competitors. At $0.08/$0.31 per 1M tokens, it's like finding a luxury car at economy prices. This makes it particularly attractive for analyzing large datasets that would otherwise need to be broken into chunks.
Context Window | 1M tokens |
Input Cost | $0.08 per 1M tokens |
Output Cost | $0.31 per 1M tokens |
Key Strength | Large dataset handling |

Mistral - Mistral Large Latest
Mistral Large Latest sits comfortably in the middle ground. With a 128K token context window and moderate pricing ($3/$9 per 1M tokens), it's like a reliable mid-range car that gets the job done without breaking the bank. It's particularly well-suited for medium-sized data analysis projects where you need a balance of power and cost-effectiveness.
Context Window | 128K tokens |
Input Cost | $3 per 1M tokens |
Output Cost | $9 per 1M tokens |
Key Strength | Balanced performance |

Anthropic - Claude 3 Haiku
Claude 3 Haiku is the nimble younger sibling of Opus. With the same impressive 200K token context window but at a much lower price point ($0.25/$1.25 per 1M tokens), it's perfect for quick data exploration and initial analysis. Think of it as your daily driver - reliable, efficient, and easy on the wallet.
Context Window | 200K tokens |
Input Cost | $0.25 per 1M tokens |
Output Cost | $1.25 per 1M tokens |
Key Strength | Rapid prototyping |

OpenAI - GPT-4O Mini
GPT-4O Mini proves that good things can come in affordable packages. With a solid 128K token context window and very reasonable pricing ($0.15/$0.6 per 1M tokens), it's great for routine data analysis tasks. It's like having a dependable compact car - it might not turn heads, but it'll get you where you need to go efficiently.
Context Window | 128K tokens |
Input Cost | $0.15 per 1M tokens |
Output Cost | $0.6 per 1M tokens |
Key Strength | Routine analysis |
Remember, the "best" LLM for data analysis really depends on your specific needs. If you're working with massive datasets and need deep insights, Gemini 1.5 Pro Preview offers incredible value. For mission-critical analysis where accuracy is paramount, Claude 3 Opus might be worth the investment. And if you're just getting started or need to run frequent but straightforward analyses, Claude 3 Haiku or GPT-4O Mini could be your best bet.
Just keep in mind that the LLM landscape is constantly evolving, with new models and pricing updates appearing regularly. It's always worth checking the latest offerings and performance metrics before making your final decision.