Best LLMs For Sentiment Analysis: Overview, Tables and Costs

Best LLMs For Sentiment Analysis: Overview, Tables and Costs

November 22, 2024 Hugo Huijer

Hey there! I've been diving deep into the world of Language Models lately, specifically looking at how they handle sentiment analysis. While I haven't personally tested all these models (that would be quite the undertaking!), I've gathered data from various sources to give you a comprehensive overview of what's available right now.

What are the best LLMs for Sentiment Analysis?

When it comes to analyzing sentiment in text, not all LLMs are created equal. Some excel at understanding nuanced emotions, while others are great for processing large volumes of text quickly. I've selected five standout models that offer different advantages depending on your needs.

ModelContext WindowPrice (Input/Output)Best For
Claude-3-Haiku200K tokens$0.25/$1.25 per 1MHigh-volume, budget-conscious analysis
Gemini-1.5-Pro2M tokens$1.25/$5 per 1MLarge-scale document analysis
Command-R128K tokens$0.15/$0.6 per 1MConsistent classification tasks
Mistral-Large-Latest128K tokens$3/$9 per 1MHigh-accuracy requirements
GPT-4O-Mini128K tokens$0.15/$0.6 per 1MBalanced performance
Anthropic Logo

Anthropic - Claude-3-Haiku

If you're looking to analyze sentiment in large volumes of text without breaking the bank, Claude-3-Haiku is your friend. It's Anthropic's most affordable option, but don't let that fool you – it still packs a punch when it comes to understanding text sentiment.

Context Window200K tokens
Price (Input)$0.25 per 1M tokens
Price (Output)$1.25 per 1M tokens
Google Gemini Logo

Google - Gemini-1.5-Pro

When you need to analyze sentiment across entire documents or datasets, Gemini-1.5-Pro shines with its massive context window. It's like having a research assistant who can read and understand an entire book in one go!

Context Window2M tokens
Price (Input)$1.25 per 1M tokens
Price (Output)$5 per 1M tokens
Cohere Logo

Cohere - Command-R

Command-R is like that reliable friend who always gives you consistent advice. It's particularly good at classification tasks, making it perfect for straightforward sentiment analysis projects.

Context Window128K tokens
Price (Input)$0.15 per 1M tokens
Price (Output)$0.6 per 1M tokens
Mistral Logo

Mistral - Mistral-Large-Latest

When accuracy is your top priority and you're willing to invest a bit more, Mistral-Large-Latest is your go-to option. It's like having a sentiment analysis expert on your team.

Context Window128K tokens
Price (Input)$3 per 1M tokens
Price (Output)$9 per 1M tokens
OpenAI Logo

OpenAI - GPT-4O-Mini

Think of GPT-4O-Mini as the jack-of-all-trades in the sentiment analysis world. It offers a great balance of features at a reasonable price point, making it a solid choice for most projects.

Context Window128K tokens
Price (Input)$0.15 per 1M tokens
Price (Output)$0.6 per 1M tokens

Remember, choosing the right LLM for sentiment analysis isn't just about picking the most powerful or the cheapest option. It's about finding the right balance for your specific needs. Consider factors like your budget, the volume of text you need to analyze, and how accurate you need the results to be.

If you're just starting out, I'd recommend trying GPT-4O-Mini or Claude-3-Haiku first – they offer great value for money and are capable enough for most sentiment analysis tasks. For enterprise-level needs, you might want to look at Gemini-1.5-Pro or Mistral-Large-Latest. And if you're doing a lot of straightforward classification work, Command-R could be your best bet.

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