Alternatives to GPT-3

Compare GPT-3 alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to GPT-3 in 2026. Compare features, ratings, user reviews, pricing, and more from GPT-3 competitors and alternatives in order to make an informed decision for your business.

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    Google AI Studio
    Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models, including Gemini 3. It brings text, image, audio, and video models together in one interactive playground. With vibe coding, developers can use natural language to quickly turn ideas into working AI applications. The platform reduces friction by generating functional apps that are ready for deployment with minimal setup. Built-in integrations like Google Search enhance real-world use cases. Google AI Studio also centralizes API key management, usage monitoring, and billing. It offers a fast, intuitive path from prompt to production powered by vibe coding workflows.
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  • 2
    LM-Kit.NET
    LM-Kit.NET is a cutting-edge, high-level inference SDK designed specifically to bring the advanced capabilities of Large Language Models (LLM) into the C# ecosystem. Tailored for developers working within .NET, LM-Kit.NET provides a comprehensive suite of powerful Generative AI tools, making it easier than ever to integrate AI-driven functionality into your applications. The SDK is versatile, offering specialized AI features that cater to a variety of industries. These include text completion, Natural Language Processing (NLP), content retrieval, text summarization, text enhancement, language translation, and much more. Whether you are looking to enhance user interaction, automate content creation, or build intelligent data retrieval systems, LM-Kit.NET offers the flexibility and performance needed to accelerate your project.
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  • 3
    Claude

    Claude

    Anthropic

    Claude is a next-generation AI assistant developed by Anthropic to help individuals and teams solve complex problems with safety, accuracy, and reliability at its core. It is designed to support a wide range of tasks, including writing, editing, coding, data analysis, and research. Claude allows users to create and iterate on documents, websites, graphics, and code directly within chat using collaborative tools like Artifacts. The platform supports file uploads, image analysis, and data visualization to enhance productivity and understanding. Claude is available across web, iOS, and Android, making it accessible wherever work happens. With built-in web search and extended reasoning capabilities, Claude helps users find information and think through challenging problems more effectively. Anthropic emphasizes security, privacy, and responsible AI development to ensure Claude can be trusted in professional and personal workflows.
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    Dialogflow
    Dialogflow from Google Cloud is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product. Dialogflow can analyze multiple types of input from your customers, including text or audio inputs (like from a phone or voice recording). It can also respond to your customers in a couple of ways, either through text or with synthetic speech. Dialogflow CX and ES provide virtual agent services for chatbots and contact centers. If you have a contact center that employs human agents, you can use Agent Assist to help your human agents. Agent Assist provides real-time suggestions for human agents while they are in conversations with end-user customers.
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    Jasper

    Jasper

    Jasper

    Artificial intelligence makes it fast & easy to create content for your blog, social media, website, and more! Rated 5/5 stars in 3,000+ reviews. We consulted with the world’s best SEO and direct response marketing experts to teach Jasper how to write blog articles, social media posts, website copy, and more. Create original content that ranks for SEO. Generate educational blog articles that are keyword-rich and plagiarism-free. Speed up your content pipeline by writing 80% by Jasper and 20% edited by humans. Easily write and test more copy variations to increase sales and improve ROAS. Boost ad conversions with a better copy. No matter your native tongue, write creatively and clearly in 25+ languages. Repurpose existing content and generate new content without hiring junior writers. Interacting with artificial intelligence used to feel difficult, overwhelming, and a bit robotic... Now with Jasper Chat, have a natural conversation with AI that feels surprisingly human.
    Starting Price: $49 per month
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    Anyword

    Anyword

    Anyword

    A/B testing can come at a price — literally. You have to pay your dues and put in time to understand what works. Anyword’s Predictive Performance Score shows you what’s most likely to work, cutting down testing costs and saving you time and resources. As marketers we are in a constant battle to optimize our communication channels. Text is usually the best place to start, but it’s also incredibly time consuming. Anyword accelerates workflows by generating multiple text variations at scale so you can get more done and move on. Anyone who ever bought a pair of jeans knows that one size does not fit all. Same goes for marketing text – different channels require different messaging. Anyword lets you generate messages that are tailored to specific platforms, and helps you perfect them so the right people take notice.
    Starting Price: $19 per month
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    1min.AI

    1min.AI

    1min.AI

    💡 1min.AI is an all-in-one AI app that unlock all AI features. You pay only for what you use at 1min.AI, with no hidden costs or setup required elsewhere. 🔮 The unique features of 1min.AI is offering a variety of AI features powered by various AI models. You can see it clearly with the Chat with Many Assistants feature, it includes Gemini, GPT, Claude, Llama, MistralAI, ... 🪄 Other multi-media features like Content, Image, Audio, Video can also be used with different models to utilize their abilities and give out the best results. 💰 Lastly, we offer credit estimation and transparent usage history, so you know exact how does the feature cost before running and can track the usage easily. 🚀 Try for Free and get what you want within 1min
  • 8
    Simplified

    Simplified

    Simplified

    Use hundreds of beautiful templates or start from scratch to create content, brand assets, and videos effortlessly. Then, publish with one click to reach your customers wherever they are. The tools that work for you, work for us. Connect your favorite apps to Simplified and watch your productivity soar. Our automation tools handle the little things so you can focus on the big picture. Create your content, collaborate with your team, and publish to the world, all in the same space. Get your team on the same (web) page and tag, comment, and collaborate in real-time. Automate your to-do's and get things done, fast. Scale your content from 1 to 1000, in a few clicks. Your audience gets consistent, beautiful messaging, while you get extra time to focus on other things.
    Starting Price: $8 per user per month
  • 9
    InstructGPT
    InstructGPT is an open-source framework for training language models to generate natural language instructions from visual input. It uses a generative pre-trained transformer (GPT) model and the state-of-the-art object detector, Mask R-CNN, to detect objects in images and generate natural language sentences that describe the image. InstructGPT is designed to be effective across domains such as robotics, gaming and education; it can assist robots in navigating complex tasks with natural language instructions, or help students learn by providing descriptive explanations of processes or events.
    Starting Price: $0.0200 per 1000 tokens
  • 10
    InferKit

    InferKit

    InferKit

    InferKit offers a web interface and API for AI–based text generators. Whether you're a novelist looking for inspiration, or an app developer, there's something for you. InferKit's text generation tool takes text you provide and generates what it thinks comes next, using a state-of-the-art neural network. It's configurable and can produce any length of text on practically any topic. The tool can be used through either the web interface or the developer API. Get started by creating an account. Creative and fun uses of the network include writing stories or poetry. Other use cases might be marketing or auto-completion. The generator can only comprehend a certain amount of text at a time (currently at most 3000 characters) so if you give it a longer prompt then it won't use the beginning. The network is already trained and does not learn from the inputs you give it. Each request counts for a minimum of 100 characters.
    Starting Price: $20 per month
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    OpenAI

    OpenAI

    OpenAI

    OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome. Apply our API to any language task — semantic search, summarization, sentiment analysis, content generation, translation, and more — with only a few examples or by specifying your task in English. One simple integration gives you access to our constantly-improving AI technology. Explore how you integrate with the API with these sample completions.
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    PaLM

    PaLM

    Google

    PaLM API is an easy and safe way to build on top of our best language models. Today, we’re making an efficient model available, in terms of size and capabilities, and we’ll add other sizes soon. The API also comes with an intuitive tool called MakerSuite, which lets you quickly prototype ideas and, over time, will have features for prompt engineering, synthetic data generation and custom-model tuning — all supported by robust safety tools. Select developers can access the PaLM API and MakerSuite in Private Preview today, and stay tuned for our waitlist soon.
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    PanGu-Σ

    PanGu-Σ

    Huawei

    Significant advancements in the field of natural language processing, understanding, and generation have been achieved through the expansion of large language models. This study introduces a system which utilizes Ascend 910 AI processors and the MindSpore framework to train a language model with over a trillion parameters, specifically 1.085T, named PanGu-{\Sigma}. This model, which builds upon the foundation laid by PanGu-{\alpha}, takes the traditionally dense Transformer model and transforms it into a sparse one using a concept known as Random Routed Experts (RRE). The model was efficiently trained on a dataset of 329 billion tokens using a technique called Expert Computation and Storage Separation (ECSS), leading to a 6.3-fold increase in training throughput via heterogeneous computing. Experimentation indicates that PanGu-{\Sigma} sets a new standard in zero-shot learning for various downstream Chinese NLP tasks.
  • 14
    PanGu-α

    PanGu-α

    Huawei

    PanGu-α is developed under the MindSpore and trained on a cluster of 2048 Ascend 910 AI processors. The training parallelism strategy is implemented based on MindSpore Auto-parallel, which composes five parallelism dimensions to scale the training task to 2048 processors efficiently, including data parallelism, op-level model parallelism, pipeline model parallelism, optimizer model parallelism and rematerialization. To enhance the generalization ability of PanGu-α, we collect 1.1TB high-quality Chinese data from a wide range of domains to pretrain the model. We empirically test the generation ability of PanGu-α in various scenarios including text summarization, question answering, dialogue generation, etc. Moreover, we investigate the effect of model scales on the few-shot performances across a broad range of Chinese NLP tasks. The experimental results demonstrate the superior capabilities of PanGu-α in performing various tasks under few-shot or zero-shot settings.
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    Jounce

    Jounce

    Jounce

    Jounce is the answer to the overwhelming gap between the 55 million marketers and the 600 thousand copywriters, providing the most advanced AI technology to marketers around the globe. Jounce is an easy-to-use, AI-powered copywriting solution that helps you create professional, effective content in just a few simple steps. Whether you're a marketing professional, small business owner, or content creator, Jounce is the perfect tool to help you save time and improve the quality of your copy. Choose from a variety of customizable templates to kickstart your copywriting process. Input your desired prompt or guidelines and Jounce AI will handle the rest. Jounce will generate a variety of options for you to choose from. Simply select your favorite output and you're done! With its intuitive design, ease of use, and lightning-fast speed, you'll find yourself using Jounce all day long.
  • 16
    NLP Cloud

    NLP Cloud

    NLP Cloud

    Fast and accurate AI models suited for production. Highly-available inference API leveraging the most advanced NVIDIA GPUs. We selected the best open-source natural language processing (NLP) models from the community and deployed them for you. Fine-tune your own models - including GPT-J - or upload your in-house custom models, and deploy them easily to production. Upload or Train/Fine-Tune your own AI models - including GPT-J - from your dashboard, and use them straight away in production without worrying about deployment considerations like RAM usage, high-availability, scalability... You can upload and deploy as many models as you want to production.
    Starting Price: $29 per month
  • 17
    Megatron-Turing
    Megatron-Turing Natural Language Generation model (MT-NLG), is the largest and the most powerful monolithic transformer English language model with 530 billion parameters. This 105-layer, transformer-based MT-NLG improves upon the prior state-of-the-art models in zero-, one-, and few-shot settings. It demonstrates unmatched accuracy in a broad set of natural language tasks such as, Completion prediction, Reading comprehension, Commonsense reasoning, Natural language inferences, Word sense disambiguation, etc. With the intent of accelerating research on the largest English language model till date and enabling customers to experiment, employ and apply such a large language model on downstream language tasks - NVIDIA is pleased to announce an Early Access program for its managed API service to MT-NLG mode.
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    Jurassic-1

    Jurassic-1

    AI21 Labs

    Jurassic-1 models come in two sizes, where the Jumbo version, at 178B parameters, is the largest and most sophisticated language model ever released for general use by developers. AI21 Studio is currently in open beta, allowing anyone to sign up and immediately start querying Jurassic-1 using our API and interactive web environment. Our mission at AI21 Labs is to fundamentally reimagine the way humans read and write by introducing machines as thought partners, and the only way we can achieve this is if we take on this challenge together. We’ve been researching language models since our Mesozoic Era (aka 2017 😉). Jurassic-1 builds on this research, and it is the first generation of models we’re making available for widespread use.
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    Jurassic-2
    Announcing the launch of Jurassic-2, the latest generation of AI21 Studio’s foundation models, a game-changer in the field of AI, with top-tier quality and new capabilities. And that's not all, we're also releasing our task-specific APIs, with plug-and-play reading and writing capabilities that outperform competitors. Our focus at AI21 Studio is to help developers and businesses leverage reading and writing AI to build real-world products with tangible value. Today marks two important milestones with the release of Jurassic-2 and Task-Specific APIs, empowering you to bring generative AI to production. Jurassic-2 (or J2, as we like to call it) is the next generation of our foundation models with significant improvements in quality and new capabilities including zero-shot instruction-following, reduced latency, and multi-language support. Task-specific APIs provide developers with industry-leading APIs that perform specialized reading and writing tasks out-of-the-box.
    Starting Price: $29 per month
  • 20
    Kafkai

    Kafkai

    LaLoka Labs

    Kafkai is an AI Writer Assistant that helps you create unique SEO-friendly articles for cents instead of dollars. There is no scraping or spinning happening in the background. Kafkai is a machine-learning algorithm that can write articles from scratch. Cutting-edge technology for marketers and SEOs. Quality content for cents instead of dollars. Since the very beginning of Search Engine Optimization, marketers have been looking for ways to get unique & quality content fast and cheap. We need it for blog posts, PBNs, backlinks, and anything else that can satisfy search engines. With a stream of unique content, you can build money-making affiliate sites and rank any website with your PBNs and other backlinks. We've been in the SEO industry for more than a decade, and we know it requires tons of quality content to satisfy search engines. We also know relevancy is critical, so we took the general writing models and trained them on popular SEO niches.
    Starting Price: $29 per month
  • 21
    Llama

    Llama

    Meta

    Llama (Large Language Model Meta AI) is a state-of-the-art foundational large language model designed to help researchers advance their work in this subfield of AI. Smaller, more performant models such as Llama enable others in the research community who don’t have access to large amounts of infrastructure to study these models, further democratizing access in this important, fast-changing field. Training smaller foundation models like Llama is desirable in the large language model space because it requires far less computing power and resources to test new approaches, validate others’ work, and explore new use cases. Foundation models train on a large set of unlabeled data, which makes them ideal for fine-tuning for a variety of tasks. We are making Llama available at several sizes (7B, 13B, 33B, and 65B parameters) and also sharing a Llama model card that details how we built the model in keeping with our approach to Responsible AI practices.
  • 22
    LTM-1

    LTM-1

    Magic AI

    Magic’s LTM-1 enables 50x larger context windows than transformers. Magic's trained a Large Language Model (LLM) that’s able to take in the gigantic amounts of context when generating suggestions. For our coding assistant, this means Magic can now see your entire repository of code. Larger context windows can allow AI models to reference more explicit, factual information and their own action history. We hope to be able to utilize this research to improve reliability and coherence.
  • 23
    T5

    T5

    Google

    With T5, we propose reframing all NLP tasks into a unified text-to-text-format where the input and output are always text strings, in contrast to BERT-style models that can only output either a class label or a span of the input. Our text-to-text framework allows us to use the same model, loss function, and hyperparameters on any NLP task, including machine translation, document summarization, question answering, and classification tasks (e.g., sentiment analysis). We can even apply T5 to regression tasks by training it to predict the string representation of a number instead of the number itself.
  • 24
    RoBERTa
    RoBERTa builds on BERT’s language masking strategy, wherein the system learns to predict intentionally hidden sections of text within otherwise unannotated language examples. RoBERTa, which was implemented in PyTorch, modifies key hyperparameters in BERT, including removing BERT’s next-sentence pretraining objective, and training with much larger mini-batches and learning rates. This allows RoBERTa to improve on the masked language modeling objective compared with BERT and leads to better downstream task performance. We also explore training RoBERTa on an order of magnitude more data than BERT, for a longer amount of time. We used existing unannotated NLP datasets as well as CC-News, a novel set drawn from public news articles.
    Starting Price: Free
  • 25
    RedPajama

    RedPajama

    RedPajama

    Foundation models such as GPT-4 have driven rapid improvement in AI. However, the most powerful models are closed commercial models or only partially open. RedPajama is a project to create a set of leading, fully open-source models. Today, we are excited to announce the completion of the first step of this project: the reproduction of the LLaMA training dataset of over 1.2 trillion tokens. The most capable foundation models today are closed behind commercial APIs, which limits research, customization, and their use with sensitive data. Fully open-source models hold the promise of removing these limitations, if the open community can close the quality gap between open and closed models. Recently, there has been much progress along this front. In many ways, AI is having its Linux moment. Stable Diffusion showed that open-source can not only rival the quality of commercial offerings like DALL-E but can also lead to incredible creativity from broad participation by communities.
    Starting Price: Free
  • 26
    SinCode AI

    SinCode AI

    SinCode

    Create SEO-optimized and plagiarism-free content for your blogs, ads, emails, & website 10X faster. Unlike anything you've experienced - unique and unimaginable capabilities. Save time and money while boosting your growth and customer satisfaction. Trained to capture viewers' attention and ultimately convert them into customers. SinCode AI can read and write content in 26 languages. Invite team members and write content together in real-time. Powerful customization options provide the exact results for your needs. Choose from a variety of AI tools to write social media ads, hero sections, blog posts, and more. Explain to the AI ​​what you want to write. The more details, the better output. Our highly trained AI understands your details and generate unique and human-like content in seconds.
    Starting Price: $9 per month
  • 27
    TextCortex

    TextCortex

    TextCortex AI

    Cut down costs of outsourcing content up to 18x & make writing process faster using trained artificial intelligence models. 250.000 words are created using TextCortex every single day. TextCortex combines advanced NLG algorithms with proven marketing practices to create the best AI writing software for copywriting. Our AI algorithms, trained with billions of lines of text, help marketers, e-commerce entrepreneurs and copywriters do more with their content every day. Our AI writers learned how to write from more than 3 billion sentences. They have done their homework and their creations is just like human creation, they are very close to being completely unique. We specialize and train our AI writers on various different topics, formats and text structures. To understand your instructions, they have been trained on more than 3 billion sentences.
    Starting Price: $19.99 per month
  • 28
    Qwen-7B

    Qwen-7B

    Alibaba

    Qwen-7B is the 7B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-7B is a Transformer-based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen-7B, we release Qwen-7B-Chat, a large-model-based AI assistant, which is trained with alignment techniques. The features of the Qwen-7B series include: Trained with high-quality pretraining data. We have pretrained Qwen-7B on a self-constructed large-scale high-quality dataset of over 2.2 trillion tokens. The dataset includes plain texts and codes, and it covers a wide range of domains, including general domain data and professional domain data. Strong performance. In comparison with the models of the similar model size, we outperform the competitors on a series of benchmark datasets, which evaluates natural language understanding, mathematics, coding, etc. And more.
    Starting Price: Free
  • 29
    Stable LM

    Stable LM

    Stability AI

    Stable LM: Stability AI Language Models. The release of Stable LM builds on our experience in open-sourcing earlier language models with EleutherAI, a nonprofit research hub. These language models include GPT-J, GPT-NeoX, and the Pythia suite, which were trained on The Pile open-source dataset. Many recent open-source language models continue to build on these efforts, including Cerebras-GPT and Dolly-2. Stable LM is trained on a new experimental dataset built on The Pile, but three times larger with 1.5 trillion tokens of content. We will release details on the dataset in due course. The richness of this dataset gives Stable LM surprisingly high performance in conversational and coding tasks, despite its small size of 3 to 7 billion parameters (by comparison, GPT-3 has 175 billion parameters). Stable LM 3B is a compact language model designed to operate on portable digital devices like handhelds and laptops, and we’re excited about its capabilities and portability.
    Starting Price: Free
  • 30
    AI21 Studio

    AI21 Studio

    AI21 Studio

    AI21 Studio provides API access to Jurassic-1 large-language-models. Our models power text generation and comprehension features in thousands of live applications. Take on any language task. Our Jurassic-1 models are trained to follow natural language instructions and require just a few examples to adapt to new tasks. Use our specialized APIs for common tasks like summarization, paraphrasing and more. Access superior results at a lower cost without reinventing the wheel. Need to fine-tune your own custom model? You're just 3 clicks away. Training is fast, affordable and trained models are deployed immediately. Give your users superpowers by embedding an AI co-writer in your app. Drive user engagement and success with features like long-form draft generation, paraphrasing, repurposing and custom auto-complete.
    Starting Price: $29 per month
  • 31
    AIForAll

    AIForAll

    Irvinesoft

    An AI assistant that come with subscription sharing feature, invite anyone you want to collaborate with you. Powered by ChatGPT API and GPT-4, it's like a ChatGPT Plus business plan, one subscription for all. Create a personalized AI assistant for your needs. Create and save multiple AI assistant prompts for future use. Simplify collaboration on AI assistant, manage and see team members usage and assistants response all from one account. No more copy and paste to share. Use AIForAll to generate AI images, convert text to speech, speech to text, write blogs and emails, plan business trips, summarize meeting notes, and so much more. Improve productivity and efficient collaboration by using AIForAll. Download, share, and start saving money on ChatGPT Plus subscription by using AIForAll. Available on iPhone, iPad, Mac.
    Starting Price: $4.99/month/subscription
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    BERT

    BERT

    Google

    BERT is a large language model and a method of pre-training language representations. Pre-training refers to how BERT is first trained on a large source of text, such as Wikipedia. You can then apply the training results to other Natural Language Processing (NLP) tasks, such as question answering and sentiment analysis. With BERT and AI Platform Training, you can train a variety of NLP models in about 30 minutes.
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    BLOOM

    BLOOM

    BigScience

    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. As such, it is able to output coherent text in 46 languages and 13 programming languages that is hardly distinguishable from text written by humans. BLOOM can also be instructed to perform text tasks it hasn't been explicitly trained for, by casting them as text generation tasks.
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    Alpa

    Alpa

    Alpa

    Alpa aims to automate large-scale distributed training and serving with just a few lines of code. Alpa was initially developed by folks in the Sky Lab, UC Berkeley. Some advanced techniques used in Alpa have been written in a paper published in OSDI'2022. Alpa community is growing with new contributors from Google. A language model is a probability distribution over sequences of words. It predicts the next word based on all the previous words. It is useful for a variety of AI applications, such the auto-completion in your email or chatbot service. For more information, check out the language model wikipedia page. GPT-3 is very large language model, with 175 billion parameters, that uses deep learning to produce human-like text. Many researchers and news articles described GPT-3 as "one of the most interesting and important AI systems ever produced". GPT-3 is gradually being used as a backbone in the latest NLP research and applications.
    Starting Price: Free
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    Amazon Titan
    Amazon Titan is a series of advanced foundation models (FMs) from AWS, designed to enhance generative AI applications with high performance and flexibility. Built on AWS's 25 years of AI and machine learning experience, Titan models support a range of use cases such as text generation, summarization, semantic search, and image generation. Titan models are optimized for responsible AI use, incorporating built-in safety features and fine-tuning capabilities. They can be customized with your own data through Retrieval Augmented Generation (RAG) to improve accuracy and relevance, making them ideal for both general-purpose and specialized AI tasks.
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    Aleph Alpha

    Aleph Alpha

    Aleph Alpha

    Lumi provides revolutionary interaction capabilities with unstructured data and information for your organization’s growth. It is a conversational module built on top of our base AI-model “Luminous”. Simply connect Lumi to your data and information and everything is ready! Benefits of developing or implementing your conversational agent with our Lumi module. Connect your data and instantly interact with it. Lumi doesn’t learn from your data. Infuse character traits to fit customers’ unique language styles. Ask a question in German, even if the dataset is in English. Data language doesn’t matter anymore. Reach everyone, even if their grammar and spelling contain errors. Learn to trust where Lumi gets is answers from. Use our knowledge worker modules to provide superior access and handling of unstructured data and information to produce digital tools and products for your value creation. It is built on top of our base AI-model “Luminous” and essentially gathers and analyzes data.
    Starting Price: €1 per 5 credits
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    XLNet

    XLNet

    XLNet

    XLNet is a new unsupervised language representation learning method based on a novel generalized permutation language modeling objective. Additionally, XLNet employs Transformer-XL as the backbone model, exhibiting excellent performance for language tasks involving long context. Overall, XLNet achieves state-of-the-art (SOTA) results on various downstream language tasks including question answering, natural language inference, sentiment analysis, and document ranking.
    Starting Price: Free
  • 38
    Vicuna

    Vicuna

    lmsys.org

    Vicuna-13B is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT. Preliminary evaluation using GPT-4 as a judge shows Vicuna-13B achieves more than 90%* quality of OpenAI ChatGPT and Google Bard while outperforming other models like LLaMA and Stanford Alpaca in more than 90%* of cases. The cost of training Vicuna-13B is around $300. The code and weights, along with an online demo, are publicly available for non-commercial use.
    Starting Price: Free
  • 39
    ChatSonic

    ChatSonic

    Writesonic

    A revolutionary AI like ChatGPT - ChatSonic, the conversational AI chatbot addresses the limitations of ChatGPT, turning out to be the best Chat GPT alternative. Improving upon the limitations of Chat GPT and giving conversational AI wings with ChatSonic. ChatSonic is trained and powered by ‘Google Search’ to chat with you on current events and trending topics in real-time. ChatSonic - ChatGPT alternative can help generate stunning digital AI artwork for your social media posts and digital campaigns. A personal assistant you can customize and use whether you are solving a math problem, preparing for an interview, sorting relationship problems or helping you stay fit. Add the ChatSonic ChatGPT Chrome extension to get content suggestions from anywhere on the internet. ChatSonic understands voice commands and responds just like Siri / Google Assistant.
    Starting Price: $12.67 per month
  • 40
    Chinchilla

    Chinchilla

    Google DeepMind

    Chinchilla is a large language model. Chinchilla uses the same compute budget as Gopher but with 70B parameters and 4× more more data. Chinchilla uniformly and significantly outperforms Gopher (280B), GPT-3 (175B), Jurassic-1 (178B), and Megatron-Turing NLG (530B) on a large range of downstream evaluation tasks. This also means that Chinchilla uses substantially less compute for fine-tuning and inference, greatly facilitating downstream usage. As a highlight, Chinchilla reaches a state-of-the-art average accuracy of 67.5% on the MMLU benchmark, greater than a 7% improvement over Gopher.
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    Cerebras-GPT
    State-of-the-art language models are extremely challenging to train; they require huge compute budgets, complex distributed compute techniques and deep ML expertise. As a result, few organizations train large language models (LLMs) from scratch. And increasingly those that have the resources and expertise are not open sourcing the results, marking a significant change from even a few months back. At Cerebras, we believe in fostering open access to the most advanced models. With this in mind, we are proud to announce the release to the open source community of Cerebras-GPT, a family of seven GPT models ranging from 111 million to 13 billion parameters. Trained using the Chinchilla formula, these models provide the highest accuracy for a given compute budget. Cerebras-GPT has faster training times, lower training costs, and consumes less energy than any publicly available model to date.
    Starting Price: Free
  • 42
    Cohere

    Cohere

    Cohere AI

    Cohere is an enterprise AI platform that enables developers and businesses to build powerful language-based applications. Specializing in large language models (LLMs), Cohere provides solutions for text generation, summarization, and semantic search. Their model offerings include the Command family for high-performance language tasks and Aya Expanse for multilingual applications across 23 languages. Focused on security and customization, Cohere allows flexible deployment across major cloud providers, private cloud environments, or on-premises setups to meet diverse enterprise needs. The company collaborates with industry leaders like Oracle and Salesforce to integrate generative AI into business applications, improving automation and customer engagement. Additionally, Cohere For AI, their research lab, advances machine learning through open-source projects and a global research community.
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    ESMFold
    ESMFold shows how AI can give us new tools to understand the natural world, much like the microscope, which enabled us to see into the world at an infinitesimal scale and opened up a whole new understanding of life. AI can help us understand the immense scope of natural diversity, and see biology in a new way. Much of AI research has focused on helping computers understand the world in a way similar to how humans do. The language of proteins is one that is beyond human comprehension and has eluded even the most powerful computational tools. AI has the potential to open up this language to our understanding. Studying AI in new domains such as biology can also give insight into artificial intelligence more broadly. Our work reveals connections across domains: large language models that are behind advances in machine translation, natural language understanding, speech recognition, and image generation are also able to learn deep information about biology.
    Starting Price: Free
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    DeepL

    DeepL

    DeepL

    DeepL is a deep learning company that develops AI systems for languages and communication. Our mission is to bring AI products of the future to everyone, right now. The company, based in Cologne, Germany, was founded in 2009 as Linguee, and introduced the first internet search engine for translations. Linguee has answered over 10 billion queries from more than 1 billion users. In the summer of 2017, the company introduced DeepL Translator, a free machine translation system that, thanks to a revolutionary neural architecture, produces translations of unprecedented quality. DeepL employs a dedicated team of machine learning researchers, developers and language experts, who all appreciate the importance of communication in a multilingual world and understand the complexity of automated translation. Our goal is to become Europe´s leading AI company. We develop AI to expand human possibility and bring cultures closer together.
    Starting Price: €5.99 per month
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    Sparrow

    Sparrow

    DeepMind

    Sparrow is a research model and proof of concept, designed with the goal of training dialogue agents to be more helpful, correct, and harmless. By learning these qualities in a general dialogue setting, Sparrow advances our understanding of how we can train agents to be safer and more useful – and ultimately, to help build safer and more useful artificial general intelligence (AGI). Sparrow is not yet available for public use. Training a conversational AI is an especially challenging problem because it’s difficult to pinpoint what makes a dialogue successful. To address this problem, we turn to a form of reinforcement learning (RL) based on people's feedback, using the study participants’ preference feedback to train a model of how useful an answer is. To get this data, we show our participants multiple model answers to the same question and ask them which answer they like the most.
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    GPT-3.5

    GPT-3.5

    OpenAI

    GPT-3.5 is the next evolution of GPT 3 large language model from OpenAI. GPT-3.5 models can understand and generate natural language. We offer four main models with different levels of power suitable for different tasks. The main GPT-3.5 models are meant to be used with the text completion endpoint. We also offer models that are specifically meant to be used with other endpoints. Davinci is the most capable model family and can perform any task the other models can perform and often with less instruction. For applications requiring a lot of understanding of the content, like summarization for a specific audience and creative content generation, Davinci is going to produce the best results. These increased capabilities require more compute resources, so Davinci costs more per API call and is not as fast as the other models.
    Starting Price: $0.0200 per 1000 tokens
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    GPT-4

    GPT-4

    OpenAI

    GPT-4 (Generative Pre-trained Transformer 4) is a large-scale unsupervised language model, yet to be released by OpenAI. GPT-4 is the successor to GPT-3 and part of the GPT-n series of natural language processing models, and was trained on a dataset of 45TB of text to produce human-like text generation and understanding capabilities. Unlike most other NLP models, GPT-4 does not require additional training data for specific tasks. Instead, it can generate text or answer questions using only its own internally generated context as input. GPT-4 has been shown to be able to perform a wide variety of tasks without any task specific training data such as translation, summarization, question answering, sentiment analysis and more.
    Starting Price: $0.0200 per 1000 tokens
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    GPT-5

    GPT-5

    OpenAI

    GPT-5 is OpenAI’s most advanced AI model, delivering smarter, faster, and more useful responses across a wide range of topics including math, science, finance, and law. It features built-in thinking capabilities that allow it to provide expert-level answers and perform complex reasoning. GPT-5 can handle long context lengths and generate detailed outputs, making it ideal for coding, research, and creative writing. The model includes a ‘verbosity’ parameter for customizable response length and improved personality control. It integrates with business tools like Google Drive and SharePoint to provide context-aware answers while respecting security permissions. Available to everyone, GPT-5 empowers users to collaborate with an AI assistant that feels like a knowledgeable colleague.
    Starting Price: $1.25 per 1M tokens
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    GPT-5.1

    GPT-5.1

    OpenAI

    GPT-5.1 is the latest update in the GPT-5 series, designed to make ChatGPT dramatically smarter and more conversational. The release introduces two distinct model variants: GPT-5.1 Instant, which is described as the most-used model and is now warmer, better at following instructions, and more intelligent; and GPT-5.1 Thinking, which is the advanced reasoning engine that’s been tuned to be easier to understand, faster on straightforward tasks, and more persistent on complex ones. Users' queries are now routed automatically to the variant best-suited to the task. The update emphasizes not just improved raw intelligence but also enhanced communication style; the models are tuned to be more natural, enjoyable to talk to, and better aligned with user intents. The system card addendum notes that GPT-5.1 Instant uses “adaptive reasoning” that lets it decide when to think more deeply before responding, while GPT-5.1 Thinking adapts its thinking time accurately to the question at hand.
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    GPT-5.1 Instant
    GPT-5.1 Instant is a high-performance AI model designed for everyday users that combines speed, responsiveness, and improved conversational warmth. The model uses adaptive reasoning to instantly select how much computation is required for a task, allowing it to deliver fast answers without sacrificing understanding. It emphasizes stronger instruction-following, enabling users to give precise directions and expect consistent compliance. The model also introduces richer personality controls so chat tone can be set to Default, Friendly, Professional, Candid, Quirky, or Efficient, with experiments in deeper voice modulation. Its core value is to make interactions feel more natural and less robotic while preserving high intelligence across writing, coding, analysis, and reasoning. GPT-5.1 Instant routes user requests automatically from the base interface, with the system choosing whether this variant or the deeper “Thinking” model is applied.