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Compare Models

  • Stanford University

    Alpaca

    FREE
    Stanford University released an instruction-following language model called Alpaca, which was fine-tuned from Meta’s LLaMA 7B model. The Alpaca model was trained on 52K instruction-following demonstrations generated in the style of self-instruct using text-davinci-003. Alpaca aims to help the academic community engage with the models by providing an open source model that rivals OpenAI’s GPT-3.5 (text-davinci-003) models. To this end, Alpaca has been kept small and cheap (fine-tuning Alpaca took 3 hours on 8x A100s which is less than $100 of cost) to reproduce. All training data and techniques have been released. The Alpaca license explicitly prohibits commercial use, and the model can only be used for research/personal projects, and users need to follow LLaMA’s license agreement.
  • BigScience

    BLOOM

    FREE
    BigScience Large Open-science Open-access Multilingual Language Model (BLOOM) is a transformer-based LLM. Over 1,000 AI researchers created it to provide a free large language model for everyone who wants to try and it is a multilingual LLM. BLOOM is an autoregressive Large Language Model (LLM), trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. It can output coherent text in 46 languages and 13 programming languages. It is free, and everybody who wants to can try it out. To interact with the API, you’ll need to request a token. This is done with a post request to the server. Tokens are only valid for two weeks. After which, a new one must be generated. Trained on around 176B parameters, it is considered an alternative to OpenAI models. There is a downloadable model, and a hosted API is available.

  • Deepmind

    Chinchilla AI

    OTHER

    Google’s DeepMind Chinchilla AI is still in the testing phase. Once released, Chinchilla AI will be useful for developing various artificial intelligence tools, such as chatbots, virtual assistants, and predictive models. It functions in a manner analogous to that of other large language models such as GPT-3 (175B parameters), Jurassic-1 (178B parameters), Gopher (280B parameters), and Megatron-Turing NLG (300B parameters) but because Chinchilla is smaller (70B parameters), inference and fine-tuning costs less, easing the use of these models for smaller companies or universities that may not have the budget or hardware to run larger models.

  • Anthropic

    Claude 2 – API version

    $0.03268
    Anthropic’s Claude 2 much larger context window (launching with 100k for now but will go up to 200K).
    will make it possible to feed it entire books or have it generate entire books at once.
    Claude 2 scored 76.5 percent on the multiple choice section of the Bar exam and in the 90th percentile on the reading and writing portion of the GRE. Its coding skills have improved from its predecessor scoring 71.2 percent on a Python coding test compared to Claude’s 56 percent.
    Claude 2 is also 63% cheaper on inputs and 46% cheaper on outputs than the GPT-4 8K context version (the default version of the OpenAI model).
  • OpenAI

    Claude 2 (Web Browser Version)

    FREE
    Anthropic’s Claude 2 is now available to the public if you’re in the US or UK. For the web browser version. just click “Talk to Claude,” and you’ll be prompted to provide an email address. After you confirm the address you enter, you’ll be ready to go.
    Claude 2 scored 76.5 percent on the multiple choice section of the Bar exam and in the 90th percentile on the reading and writing portion of the GRE. Its coding skills have improved from its predecessor scoring 71.2 percent on a Python coding test compared to Claude’s 56 percent. While the Google-backed Anthropic initially launched Claude in March, the chatbot was only available to businesses by request or as an app in Slack. With Claude 2, Anthropic is building upon the chatbot’s existing capabilities with a number of improvements.
  • Anthropic

    Claude Instant

    $0.00551
    Claude Instant is a faster and less expensive model than Claude-v1 that can handle casual dialog, text analysis and summarization, and document Q&A. Optimized for low latency, it handles high throughput use cases at lower costs that other Claude family of models. Anthropic is an AI startup founded by former OpenAI employees. Anthropic specializes in developing general AI systems and language models, with a company ethos of responsible AI usage.
    API access can be gained after application.

  • Anthropic

    Claude Instant v1

    $0.03268
    A powerful model, Claude-v1 can handle sophisticated dialog, creative content generation, and detailed instructions. Optimized for superior performance on tasks that require complex reasoning, Claude is Anthropic’s best-in-class offering.
    API access can be gained after application.
  • Databricks

    Dolly 2.0

    FREE
    Dolly 2.0 by Databricks, is the first open source, instruction-following Large Language Model, fine-tuned on a human-generated instruction dataset and is licensed for research and commercial use, which means any organization can create, own, and customize powerful LLMs that can talk to people without paying for API access or sharing data with third parties.

    Dolly 2.0 is a 12B parameter language model based on the EleutherAI pythia model family and fine-tuned exclusively on a new, high-quality human generated instruction following dataset (crowdsourced among Databricks employees – so cool). Dolly-v2-12b is not a state-of-the-art model, but it does exhibit surprisingly high-quality instruction following behavior not characteristic of the foundation model on which it is based. Dolly v2 is also available in smaller model sizes: dolly-v2-7b, a 6.9 billion parameter based on pythia-6.9b and dolly-v2-3b, a 2.8 billion parameter based on pythia-2.8b.

    Dolly 2.0 can be used for brainstorming, classification, open Q&A, closed Q&A, content generation, information extraction, and summarization. You can access the Dolly 2.0 can training code, the dataset, and the model weights on Hugging Face.
  • EleutherAI

    GPT-J

    FREE
    EleutherAI is a leading non-profit research institute focused on large-scale artificial intelligence research. EleutherAI has trained and released several LLMs and the codebases used to train them. GPT-J can be used for code generation, making a chat bot, story writing, language translation and searching. GPT-J learns an inner representation of the English language that can be used to extract features useful for downstream tasks. The model is best at what it was pretrained for, which is generating text from a prompt. EleutherAI has a web page where you can test to see how the GPT-J works, or you can run GPT-J on google colab, or use the Hugging Face Transformers library.
  • EleutherAI

    GPT-NeoX-20B

    FREE
    EleutherAI has trained and released several LLMs and the codebases used to train them. EleutherAI is a leading non-profit research institute focused on large-scale artificial intelligence research. GPT-NeoX-20B is a 20 billion parameter autoregressive language model trained on the Pile using the GPT-NeoX library. Its architecture intentionally resembles that of GPT-3, and is almost identical to that of GPT-J- 6B. Its training dataset contains a multitude of English-language texts, reflecting the general-purpose nature of this model. It is a transformer-based language model and is English-language only, and thus cannot be used for translation or generating text in other languages. It is freely and openly available to the public through a permissive license.

  • Aleph Alpha

    Luminous-base

    $0.0055
    Aleph Alpha have the Luminous large language model. Luminous models vary in size, price and parameters. Luminous-base speaks and writes 5 languages: English, French, German, Italian and Spanish and the model can perform information extraction, language simplification and has multi-capable image description capability. Aleph Alpha is targeting “critical enterprises” — organizations like law firms, healthcare providers and banks, which rely heavily on trustable, accurate information. You can try Aleph Alpha models for free. Go to the Jumpstart page on their site and click through the examples on Classification and Labelling, Generation, Information Extraction, Translation & Conversion and Multimodal. Aleph Alpha are based in Europe, allowing customers with sensitive data to process their information in compliance with European regulations for data protection and security on a sovereign, European computing infrastructure.

  • Aleph Alpha

    Luminous-extended

    $0.0082
    Aleph Alpha luminous-extended is the second largest model which is faster and cheaper than Luminous-supreme. the model can perform information extraction, language simplification and has multi-capable image description capability. You can try Aleph Alpha models with predefined examples for free. Go to at the Jumpstart page on their site and click through the examples on Classification and Labelling, Generation, Information Extraction, Translation and Conversion and Multimodal. Aleph Alpha are based in Europe, which allows customers with sensitive data to process their information in compliance with European regulations for data protection and security on a sovereign, European computing infrastructure.
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Alpaca
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