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Compare Models

  • Google

    BERT

    FREE
    BERT (Bidirectional Encoder Representations from Transformers) was introduced in 2018 by researchers at Google AI. BERT uses AI in the form of natural language processing (NLP), natural language understanding (NLU), and sentiment analysis to process every word in a search query in relation to all the other words in a sentence, giving it a robust understanding of context and semantics. This pre-training process is incredibly powerful and the learned weights can be fine-tuned with just one additional output layer to create models for a variety of NLP tasks such as question answering and sentiment analysis. You can download the smaller BERT models for FREE from the official BERT GitHub page.
  • OpenAI

    ChatGPT (Web Browser Version)

    FREE
    The ChatGPT Web Browser Version is an accessible online powerful language model. The chatbot is designed to provide users with a user-friendly interface that facilitates interaction without needing any specialized programming or machine learning knowledge. Users can leverage ChatGPT for a wide range of applications, including but not limited to tutoring in academic subjects, generating creative content, drafting and editing text, providing personalized recommendations, translating languages, and even programming help. Businesses can use it for automating customer service, generating marketing content, and providing personalized user experiences.
    ChatGPT is powered by GPT-3.5-turbo by default and is free to try. If you are a paying customer and subscribe to ChatGPT Plus, you can change the model to GPT-4 before you start a chat. Currently, the ChatGPT models support several languages, including but not limited to English, Spanish, French, German, Portuguese, Italian and Dutch. New features for ChatGPT-Plus users have just been announced. These include a web-browsing feature that provides up-to-date information (prior to the update, ChatGPT was limited in what it could answer, as it was only trained on data until 2021). ChatGPT-Plus users can also access third-party plug-ins for web services like Expedia, Kayak, and Instacart. With these plug-ins, users can prompt ChatGPT to perform tasks on specific websites.
  • Google

    Cloud Platform

    OTHER
    Google Cloud Platform (GCP) is a cloud computing service that includes innovative AI and machine learning products, solutions, and services. Google AI Studio is a low-code development environment that makes it easy to build and deploy applications and has a variety of features, such as pre-trained models that can be used to get started quickly, a unified experience for managing the entire ML lifecycle, from data preparation to model deployment, and a variety of tools for monitoring the performance of ML models in production. Vertex AI can be used to train and deploy models, and GCP also offers a variety of data storage services, including Cloud Storage, which can be used to store large datasets.
  • OpenAI

    DALL·E 2

    $0.016
    DALL-E 2 is a browser-based AI system that can create realistic images and art from a description in natural language. It currently supports the ability, given a prompt, to create a new image with a certain size, edit an existing image, or create variations of a user-provided image. Currently, DALL·E 2 charges for an image by pixel resolution.
    Also to note, for developers, there is also an API available for the beta version and the API allows you to integrate state of the art image generation capabilities directly into your product. The API usage is offered on a pay-as-you-go basis and is billed separately. To note, OpenAI offers large volume discounts (>$5k/month) through their sale team.

  • OpenAI

    Davinci Instruct model

    $0.02
    Davinci is the most capable Instruct model and it can do any task the other models can (Ada, Babbage and Curie), often with higher quality. InstructGPT models are sibling models to the ChatGPT. They are built on GPT-3 models but made to be safer, more helpful, and more aligned to users’ needs using a technique called reinforcement learning from human feedback (RLHF). Instruct models are meant to generate text with a clear instruction, and they are not optimized for conversational chat. Instruct models are optimized to follow single-turn instructions (e.g., specifically designed to follow instructions provided in a prompt). Developers can use Instruct models for extracting knowledge, generating text, performing NLP tasks, automating tasks involving natural language, and translating languages. Instruct models make up facts less often than GPT-3 base models and show slight decreases in toxic output generation. Access is available through a request to OpenAI’s API.

  • Google, Stanford University

    Electra

    FREE
    ELECTRA (Efficiently Learning an Encoder that Classifies Token Replacements Accurately) is a transformer-based model like BERT, but it uses a different pre-training approach, which is more efficient and requires less computational resources. It was created by a team of researchers from Google Research, Brain Team, and Stanford University. ELECTRA models are trained to distinguish “real” input tokens vs “fake” input tokens generated by another neural network (for the more technical audience, ELECTRA uses a new pre-training task, called replaced token detection (RTD), that trains a bidirectional model while learning from all input positions). Inspired by generative adversarial networks (GANs), ELECTRA trains the model to distinguish between “real” and “fake” input data. At small scale, ELECTRA achieves strong results even when trained on a single GPU. At large scale, ELECTRA achieves state-of-the-art results on the SQuAD 2.0 dataset. Go to GitHub where you can access the three models (ELECTRA-Small, ELECTRA-Base and ELECTRA-Large).

  • Google

    FLAN-T5

    FREE
    If you already know T5, FLAN-T5 is just better at everything. For the same number of parameters, these models have been fine-tuned on more than 1,000 additional tasks covering more languages – the NLP is for English, German, French. It has Apache-2.0 license which is a permissive open source license that allows for commercial use. With appropriate prompting, it can perform zero-shot NLP tasks such as text summarization, common sense reasoning, natural language inference, question answering, sentence and sentiment classification, translation, and pronoun resolution.
  • Google

    Flan-UL2

    FREE
    Developed by Google, Flan-UL2, which is a more powerful version of the T5 model that has been trained using Flan, and it is downloadable from Hugging Face. It shows performance exceeding the ‘prior’ versions of Flan-T5. With the ability to reason for itself and generalize better than the previous models, Flan-UL2 is a great improvement. Flan-UL2 is a machine learning model that can generate textual descriptions of images and has the potential to be used for image search, video captioning, automated content generation, and visual question answering. Flan-UL2 has an Apache-2.0 license, which is a permissive open source license that allows for commercial use.
    If Flan-UL2’s 20B parameters are too much, consider the previous iteration of Flan-T5, which comes in five different sizes and might be more suitable for your needs.
  • AI21 Labs

    Jurassic-2 Grande (Base & Instruct)

    $0.01
    J2-Grande offers enhanced text generation capabilities, making it well-suited to language tasks with a greater degree of complexity. Its fine-tuning options allow for optimization of quality, while maintaining an affordable price and high efficiency (see site for more details). It is an ideal choice for complex language processing tasks and generative text applications. All of J2 models support several non-English languages, including: Spanish, French, German, Portuguese, Italian and Dutch. All Jurassic foundation models are trained on a massive corpus of text, making them a powerful basis for a wide range of natural language processing applications, capable of understanding and composing human-like text. Models are available through an API and you can start with a free trial and then pay based on usage.

  • AI21 Labs

    Jurassic-2 Jumbo (Base & Instruct)

    $0.015
    As the largest and most powerful model in the Jurassic series, J2-Jumbo is an ideal choice for the most complex language processing tasks and generative text applications. Further, the model can be fine-tuned for optimum performance in any custom application. Jurassic-2 not only improves upon Jurassic-1 (AI21 Studio previous generation models) in every aspect, making it highly versatile in general purpose text-generators, and capable of composing human-like text and solving complex tasks such as question answering and text classification. All of the J2 models support several non-English languages, including: Spanish, French, German, Portuguese, Italian and Dutch. All Jurassic foundation models are trained on a massive corpus of text, making them a powerful basis for a wide range of natural language processing applications, capable of understanding and composing human-like text. Models are available through an API and you can start with a free trial and then pay based on usage.

  • AI21 Labs

    Jurassic-2 Large (Base & Instruct)

    $0.003

    Designed for fast responses, the Jurassic-2 Large model can be fine-tuned to optimize performance for relatively simple tasks, making it an ideal choice for language processing tasks that require maximum affordability and less processing power. All of the J2 models support several non-English languages, including: Spanish, French, German, Portuguese, Italian and Dutch. All Jurassic foundation models are trained on a massive corpus of text, making them a powerful basis for a wide range of natural language processing applications, capable of understanding and composing human-like text. Models are available through an API and you can start with a free trial and then pay based on usage.

  • Google

    LaMDA

    OTHER
    LaMDA stands for Language Model for Dialogue Application. It is a conversational Large Language Model (LLM) built by Google as an underlying technology to power dialogue-based applications that can generate natural-sounding human language. LaMDA is built by fine-tuning a family of Transformer-based neural language models specialized for dialog and teaching the models to leverage external knowledge sources. The potential use cases for LaMDA are diverse, ranging from customer service and chatbots to personal assistants and beyond. LaMDA is not open source; currently, there are no APIs or downloads. However, Google is working on making LaMDA more accessible to researchers and developers. In the future, it is likely that LaMDA will be released as an open source project, and that APIs and downloads will be made available.
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BERT
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