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The hottest AI models, what they do, and how to use them

TechCrunch has summarized advanced AI models released since 2024, highlighting innovations from companies like OpenAI, Cohere, and Anthropic. These models are designed for various applications from coding to image captioning. The article aims to clarify their uses amid a sea of options, emphasizing the importance of practical benchmarks over purely technical performance metrics. Updates will follow as new models are launched.

Key points

  • Cohere's Aya Vision excels at image captioning and multilingual processing; free on WhatsApp.
  • OpenAI's GPT 4.5 'Orion' is lauded for knowledge and emotional intelligence, available via a $200/month subscription.
  • Anthropic's Claude Sonnet 3.7 is the first hybrid reasoning model allowing users to control response time; costs $20/month for heavy users.
  • xAI’s Grok 3 outperforms competitors in math and coding but requires a $50/month subscription.
  • OpenAI's O3-Mini is optimized for STEM tasks and has a free version for light users; heavier usage requires a subscription.
  • Deep Research supports in-depth research with citations; requires a $200/month subscription.
  • Mistral’s Le Chat offers a fast multimodal experience but is noted for errors compared to ChatGPT.
  • OpenAI’s Operator functions like a personal intern with a $200/month subscription burden; still experimental.
  • Google's Gemini 2.0 claims superior coding skills and features a long context window, available with a Google One AI Premium subscription.
  • DeepSeek R1 is praised in Silicon Valley but is censored in content due to its Chinese origins; open-source and free.
  • Meta's Llama 3.3 70B is an advanced, efficient model and free to use.
  • OpenAI's Sora generates realistic videos from text, available on paid ChatGPT plans.
  • Anthropic’s Claude Computer Use automates computer tasks but is still in beta.

Why it matters

  • Rapid advancements in AI models since 2024 reflect the ongoing trends of increased AI adoption across industries.
  • The rise of multimodal models indicates a shift towards integrated AI systems capable of handling diverse tasks and inputs.
  • Concerns around censorship and data privacy in AI highlight the influence of political and regulatory environments on technological development.
  • Emerging AI models signal a growing competition among major tech players, reminiscent of historical tech races.

The continuous release of sophisticated AI models reflects a dynamic and rapidly evolving landscape in technology. Understanding their practical applications is key for companies to leverage these innovations effectively, while awareness of risks and limitations remains crucial for responsible usage.