Comparison of Free LLMs: Claude, Perplexity, ChatGPT, Mistral and DeepSeek

AILLMNLPLanguage ModelsAI Tools

Comparative analysis of free versions of major Large Language Models, focusing on features, limitations and optimal use cases for each solution.

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Elements

  • Context window and token management
  • Multimodal capabilities (text, images, documents)
  • Web search integration
  • Processing speed
  • Multilingual support

Models and Architectures

  • Claude 2 with 100k token context window
  • Perplexity with integrated web search
  • GPT-3.5 base with Bing functionality
  • Mistral 7B with optimized architecture
  • DeepSeek V3 with Mixture-of-Experts

Results

  • Claude.AI: Excellent for long document analysis with 40-50 messages/day limit
  • Perplexity.AI: Great for quick searches with source citations, 5 Pro searches/day
  • ChatGPT: Versatile with unlimited GPT-3.5, rate-limited GPT-4
  • Mistral.AI: Performant and open-source, ideal for local deployment
  • DeepSeek: Complete and unlimited, optimized for English and Chinese

    • Comparison of Free Versions of Claude, Perplexity, ChatGPT, Mistral, and DeepSeek

    1. General Introduction

    In recent years, conversational artificial intelligence models have seen rapid diffusion, becoming tools used daily to answer questions, generate texts, assist in programming, and much more. Currently, there are several free solutions that allow access to powerful Large Language Models (LLMs) without initial costs. In this article, we will delve into five of the most well-known and widespread AI systems in their free versions:

    We will try to understand their differences, strengths, limitations, and respective characteristics, so that you can choose the solution that best suits your needs.

    2. Claude.AI

    Claude.AI is a model developed by Anthropic, a company founded by former OpenAI members with the goal of creating an AI that is “helpful, honest, and harmless”. The current version, Claude 2, stands out for its large context window, which can reach up to 100,000 tokens. This means it can handle very long texts, such as entire documents or extensive conversations, offering coherent analysis and responses even on extended inputs.

    Detailed Comparison

    Each model presents distinctive characteristics that make it suitable for specific use cases. Claude excels in analyzing long documents thanks to its wide context window. Perplexity offers real-time web searches with source citation. ChatGPT ensures versatility with GPT-3.5 and beta functionalities like DALL·E 3. Mistral focuses on efficiency and local deployment. DeepSeek stands out for its lack of limitations and OCR capabilities.

    Selection Criteria

    Selecting the ideal model depends on specific needs. For long document analysis, Claude is the best choice. For quick searches with verifiable sources, Perplexity is optimal. ChatGPT remains excellent for general use. Mistral is perfect for local deployment and customization. DeepSeek is ideal for those who need complete functionality without usage limits, especially in English and Chinese.

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