Best Large Language Models for iPhone of 2024

Find and compare the best Large Language Models for iPhone in 2024

Use the comparison tool below to compare the top Large Language Models for iPhone on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Claude Reviews
    Claude is an artificial intelligence language model that can generate text with human-like processing. Anthropic is an AI safety company and research firm that focuses on building reliable, interpretable and steerable AI systems. While large, general systems can provide significant benefits, they can also be unpredictable, unreliable and opaque. Our goal is to make progress in these areas. We are currently focusing on research to achieve these goals. However, we see many opportunities for our work in the future to create value both commercially and for the public good.
  • 2
    ChatGPT Plus Reviews

    ChatGPT Plus

    OpenAI

    $20 per month
    1 Rating
    We've developed a model, called ChatGPT, that interacts in a conversational manner. ChatGPT can use the dialogue format to answer questions, admit mistakes, challenge incorrect premises and reject inappropriate requests. ChatGPT is the sibling model of InstructGPT. InstructGPT is trained to follow a prompt, and then provide a detailed answer. ChatGPT Plus, a subscription plan to ChatGPT, a conversational AI. ChatGPT Plus is $20/month and subscribers receive a variety of benefits. - ChatGPT is available to all users, even at peak times - Faster response time Access to GPT-4 ChatGPT plugins Chat with Web-browsingGPT - Priority access for new features and improvements ChatGPT Plus will be available to all customers in the United States. We will begin inviting people on our waitlist within the next few weeks. We plan to extend access and support to other countries and regions in the near future.
  • 3
    ChatGPT Reviews
    ChatGPT is an OpenAI language model. It can generate human-like responses to a variety prompts, and has been trained on a wide range of internet texts. ChatGPT can be used to perform natural language processing tasks such as conversation, question answering, and text generation. ChatGPT is a pretrained language model that uses deep-learning algorithms to generate text. It was trained using large amounts of text data. This allows it to respond to a wide variety of prompts with human-like ease. It has a transformer architecture that has been proven to be efficient in many NLP tasks. ChatGPT can generate text in addition to answering questions, text classification and language translation. This allows developers to create powerful NLP applications that can do specific tasks more accurately. ChatGPT can also process code and generate it.
  • 4
    Inflection-2 Reviews

    Inflection-2

    Inflection

    Free
    We are proud to announce we have completed the training on Inflection-2. It is the best model for its compute class in the entire world and the second most powerful LLM. Inflection's mission is to create an AI that is personal for everyone. Inflection-2 is a new model that is significantly more capable than Inflection-1. It has better factual knowledge, better style control, and dramatically enhanced reasoning. Inflection-2 has been trained on 5,000 NVIDIA GPUs at fp8 mixed accuracy for 1025 FLOPs. This puts Inflection-2 in the same training compute category as Google's flagship PaLM 2 Large Model. Inflection-2 also outperforms the majority of standard AI performance benchmarks including the well-known MMLU, TriviaQA, HellaSwag & GSM8k. Inflection-2, designed with efficiency in mind, will soon power Pi. We were able to reduce costs by switching from A100 to the H100 GPUs and optimizing our inference implementation.
  • 5
    GPT-4o Reviews

    GPT-4o

    OpenAI

    $5.00 / 1M tokens
    GPT-4o (o for "omni") is an important step towards a more natural interaction between humans and computers. It accepts any combination as input, including text, audio and image, and can generate any combination of outputs, including text, audio and image. It can respond to audio in as little as 228 milliseconds with an average of 325 milliseconds. This is similar to the human response time in a conversation (opens in new window). It is as fast and cheaper than GPT-4 Turbo on text in English or code. However, it has a significant improvement in text in non-English language. GPT-4o performs better than existing models at audio and vision understanding.
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