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AI models are being cranked out at a dizzying pace, by everyone from Big Tech companies like Google to startups like OpenAI and Anthropic. Keeping track of the latest ones can be overwhelming. Adding to the confusion is that AI models are often promoted based on industry benchmarks. But these technical metrics often reveal little about how real people and companies actually use them. To cut through the noise, TechCrunch has compiled an overview of the most advanced AI models released since 2024, with details on how to use them and what they’re best for. We’ll keep this list updated with the latest launches, too. There are literally over a million AI models out there: HuggingFace, for example, hosts over 1.4 million. So this list might miss some models that perform better, in one way or another. AI models released in 2025 OpenAI o3-mini This is OpenAI’s latest reasoning model and is optimized for STEM-related tasks like coding, math, and science. It’s not OpenAI’s most powerful model but because it’s smaller, the company says it’s significantly lower-cost. It is available for free but requires a subscription for heavy users. OpenAI Deep Research OpenAI’s Deep Research is designed for doing in-depth research on a topic with clear citations. This service is only available with ChatGPT’s $200 per month Pro subscription. OpenAI recommends it for everything from science to shopping research, but beware that hallucinations remain a problem for AI. Mistral Le Chat Mistral has launched app versions of Le Chat, a multimodal AI personal assistant. Mistral claims Le Chat responds faster than any other chatbot. It also has a paid version with up-to-date journalism from the AFP. Tests from Le Monde found Le Chat’s performance impressive, although it made more errors than ChatGPT. OpenAI Operator OpenAI’s Operator is meant to be a personal intern that can do things independently, like help you buy groceries. It requires a $200 a month ChatGPT pro subscription. AI agents hold a lot of promise, but they’re still experimental: a Washington Post reviewer says Operator decided on its own to order a dozen eggs for $31, paid with the reviewer’s credit card. Google Gemini 2.0 Pro Experimental Google Gemini’s much-awaited flagship model says it excels at coding and understanding general knowledge. It also has a super-long context window of 2 million tokens, helping users who need to quickly process massive chunks of text. The service requires (at minimum) a Google One AI Premium subscription of $19.99 a month. AI models released in 2024 DeepSeek R1 This Chinese AI model took Silicon Valley by storm. DeepSeek’s R1 performs well on coding and math, while its open source nature means anyone can run it locally. Plus, it’s free. However, R1 integrates Chinese government censorship and faces rising bans for potentially sending user data back to China. Gemini Deep Research Deep Research summarizes Google’s search results in a simple and well-cited document. The service is helpful for students and anyone else who needs a quick research summary. However, its quality isn’t nearly as good as an actual peer-reviewed paper. Deep Research requires a $19.99 Google One AI Premium subscription. Meta Llama 3.3 7B This is the newest and most advanced version of Meta’s open source Llama AI models. Meta has touted this version as its cheapest and most efficient yet, especially for math, general knowledge, and instruction following. It is free and open source. OpenAI Sora Sora is a model that creates realistic videos based on text. While it can generate entire scenes rather than just clips, OpenAI admits that it often generates “unrealistic physics.” It’s currently only available on paid versions of ChatGPT, starting with Plus which is $20 a month. Alibaba Qwen QwQ-32B-Preview This model is one of the few to rival OpenAI’s o1 on certain industry benchmarks, excelling in math and coding. Ironically for a ‘reasoning model,’ it has “room for improvement in common sense reasoning,” Alibaba says. It also incorporates Chinese government censorship, TechCrunch testing shows. It’s free and open source. Anthropic’s Computer Use Claude’s Computer Use is meant to take control of your computer to complete tasks like coding or booking a plane ticket, making it a predecessor of OpenAI’s Operator. Computer use, however, remains in beta. Pricing is via API: $0.80 per million tokens of input, and $4 per million tokens of output. x.AI’s Grok 2 x.AI, the Elon Musk-owned AI company, has launched an enhanced version of its flagship Grok 2 chatbot it claims is “three times faster.” Free users are limited to 10 questions every two hours on Grok, while subscribers to X’s Premium and Premium+ plans enjoy higher usage limits. x.AI also launched an image generator, Aurora, that produces highly photorealistic images, including some graphic or violent content. OpenAI o1 OpenAI’s o1 family is meant to produce better answers by “thinking” through responses through a hidden reasoning feature. The model excels at coding, math, and safety, OpenAI claims, but has issues deceiving humans, too. O1 requires subscribing to ChatGPT Plus, which is $20 a month. Anthropic’s Claude Sonnet 3.5 Claude Sonnet 3.5 is a model Anthropic claims as best-in-class. It’s become known for its coding capabilities and is considered a tech insider’s chatbot of choice. The model can be accessed for free on Claude although heavy users will need a $20 monthly Pro subscription. While it can understand images, it can’t generate them. OpenAI GPT 4o-mini OpenAI has touted GPT 4o-mini as its most affordable and fastest model yet thanks to its small size. It’s meant to enable a broad range of tasks like powering customer service chatbots. The model is available on ChatGPT’s free tier. It’s better suited for high-volume simple tasks compared to more complex ones. Cohere Command R+ Cohere’s Command R+ model excels at complex Retrieval-Augmented Generation (or RAG) applications for enterprises. That means it can find and cite specific pieces of information really well. (The inventor of RAG actually works at Cohere.) Still, RAG doesn’t fully solve AI’s hallucination problem.
注意来历不明的 AI
千万千万千万不要在不可信的第三方 deepseek 输入个人信息与机密数据。 警惕个人隐私 我看 Deepseek 这个热度是下不去了，太出圈了，尽管有硅基流动、华为、国家超算中心、字节跳动等提供代替的 Deepseek 接口， 但是恕我直言，渗透力和下沉力度肯定不足！ 我严肃的告诉你，就算是和网页上和官方的Deepseek 交流，Deepseek 也有可能在安全处理后使用你和大模型聊天的数据 DeepSeek在隐私说明明确提到，会做数据的匿名化处理，大厂的安全策略一般比较可靠！ 在对话过程中，您可以对DeepSeek所输出的内容进行反馈评价。我们将收集您的反馈信息，包括您主动提交的内容，以便不断改进DeepSeek的输出内容质量。如您拒绝我们收集和处理前述个人信息，请您谨慎输入前述信息，但因此您可能会影响您正常使用DeepSeek提供的部分或全部功能。 为向您提供连续、高质量的服务，在经安全加密技术处理、严格去标识化且无法重新识别特定个人的前提下，我们可能会将服务所收集的输入内容及对应输出的内容，用于DeepSeek服务质量的提升和优化。如您拒绝我们按照上述方式处理您的个人信息，可以通过本政策第九章的方式向我们反馈。 from : https://chat.deepseek.com/downloads/DeepSeek%E9%9A%90%E7%A7%81%E6%94%BF%E7%AD%96.html 但是就算如此， 我们也要避免过度将数据丢给 AI，要经常提醒自己，这个数据如果给 AI 学习了，AI会了，就等于大家都会。 在职场的我们，也要尽量避免把企业的重要敏感数据往大模型里面去复制粘贴。 最重要的是不要使用来历不明的免费 Deepseek！！！ 过去我们要警惕的是第三方免费或者付费的便宜的 ChatGPT、Claude。 因为这一类型的 AI 产生的数据质量比较高，很有价值，可以用于别人继续训练AI，因此被截住的可能性非常高。 现在 deepseek 强大了，这里面的门门道道肯定是不少的，用免费的 AI，别人可能把你的数据都截留了，并且用于很多你不清楚的场合。 一定要警惕使用来历不明的 AI 模型。 一定要警惕使用来历不明的 AI 模型。 一定要警惕使用来历不明的 AI 模型。 太长记不住？ 核心数据千万不要丢给 AI 重要数据千万选择大厂 AI 点赞或者点踩一定要谨慎，这些数据肯定要被重点检查的