Alternatives to CodeGen
Compare CodeGen alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to CodeGen in 2025. Compare features, ratings, user reviews, pricing, and more from CodeGen competitors and alternatives in order to make an informed decision for your business.
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1
Codeium
Exafunction
Codeium is a free AI-powered coding assistant that accelerates development by providing intelligent code autocompletion in over 70 programming languages and more than 40 IDEs, including VSCode, JetBrains, and Jupyter Notebooks. With Codeium, developers can write code faster, eliminate repetitive tasks, and stay in the flow state—whether they're working with Python, JavaScript, C++, or any other language. Built on billions of lines of open-source code, Codeium understands and anticipates your coding needs, offering multiline suggestions, automated unit tests, and even natural language explanations for complex functions. It’s perfect for streamlining code writing, reducing boilerplate, and cutting down the time spent on documentation searches. Trusted by individual developers and Fortune 500 companies alike, Codeium is your go-to solution for boosting productivity and writing better code. Try Codeium for free today and experience the future of AI-powered coding! -
2
Mistral AI
Mistral AI
Mistral AI is a pioneering artificial intelligence startup specializing in open-source generative AI. The company offers a range of customizable, enterprise-grade AI solutions deployable across various platforms, including on-premises, cloud, edge, and devices. Flagship products include "Le Chat," a multilingual AI assistant designed to enhance productivity in both personal and professional contexts, and "La Plateforme," a developer platform that enables the creation and deployment of AI-powered applications. Committed to transparency and innovation, Mistral AI positions itself as a leading independent AI lab, contributing significantly to open-source AI and policy development. -
3
K.Explorer
Morphis Tech
A state-of-the-art AI that builds better software, cheaper and faster. K.Explorer is an AI powered Code Assistant trained on many millions of private corporate lines of code, for specific domains, and on billions of public and open-source lines of code for general purposes. Its code auto-completion features suggest code completions and entire function bodies as you type or as you search the engine for help. To make development faster and more agile it even supports Natural Language for programmers to get guidance while telling a text story about the code they want to write.Starting Price: Free -
4
BLACKBOX AI
BLACKBOX AI
BLACKBOX.AI is a Coding LLM designed to transform the way we build software. By building BLACKBOX.AI, our goal is to: - Accelerate the pace of innovation within companies by making engineers 10X faster in building and releasing products - Accelerate the growth in software engineers around the world and 10X the number of engineers from ~100M to 1B Capabilities: 1. Natural Language to Code 2. Real-Time Knowledge 3. Code Completion 4. VISION 5. Code Commenting 6. Commit Message Generation 7. Chat with your Code Files BLACKBOX is built to answer coding questions and assist you write code faster. Whether you are fixing a bug, building a new feature or refactoring your code, ask BLACKBOX to help. BLACKBOX has real-time knowledge of the world, making it able to answer questions about recent events, technological breakthroughs, product releases, API documentations & more BLACKBOX integrates directly with VSCode to automatically suggests the next lines of code.Starting Price: Free -
5
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. -
6
StarCoder
BigCode
StarCoder and StarCoderBase are Large Language Models for Code (Code LLMs) trained on permissively licensed data from GitHub, including from 80+ programming languages, Git commits, GitHub issues, and Jupyter notebooks. Similar to LLaMA, we trained a ~15B parameter model for 1 trillion tokens. We fine-tuned StarCoderBase model for 35B Python tokens, resulting in a new model that we call StarCoder. We found that StarCoderBase outperforms existing open Code LLMs on popular programming benchmarks and matches or surpasses closed models such as code-cushman-001 from OpenAI (the original Codex model that powered early versions of GitHub Copilot). With a context length of over 8,000 tokens, the StarCoder models can process more input than any other open LLM, enabling a wide range of interesting applications. For example, by prompting the StarCoder models with a series of dialogues, we enabled them to act as a technical assistant.Starting Price: Free -
7
ChatGPT
OpenAI
ChatGPT is a language model developed by OpenAI. It has been trained on a diverse range of internet text, allowing it to generate human-like responses to a variety of prompts. ChatGPT can be used for various natural language processing tasks, such as question answering, conversation, and text generation. ChatGPT is a pre-trained language model that uses deep learning algorithms to generate text. It was trained on a large corpus of text data, allowing it to generate human-like responses to a wide range of prompts. The model has a transformer architecture, which has been shown to be effective in many NLP tasks. In addition to generating text, ChatGPT can also be fine-tuned for specific NLP tasks such as question answering, text classification, and language translation. This allows developers to build powerful NLP applications that can perform specific tasks more accurately. ChatGPT can also process and generate code.Starting Price: Free -
8
ChatGPT Pro
OpenAI
As AI becomes more advanced, it will solve increasingly complex and critical problems. It also takes significantly more compute to power these capabilities. ChatGPT Pro is a $200 monthly plan that enables scaled access to the best of OpenAI’s models and tools. This plan includes unlimited access to our smartest model, OpenAI o1, as well as to o1-mini, GPT-4o, and Advanced Voice. It also includes o1 pro mode, a version of o1 that uses more compute to think harder and provide even better answers to the hardest problems. In the future, we expect to add more powerful, compute-intensive productivity features to this plan. ChatGPT Pro provides access to a version of our most intelligent model that thinks longer for the most reliable responses. In evaluations from external expert testers, o1 pro mode produces more reliably accurate and comprehensive responses, especially in areas like data science, programming, and case law analysis.Starting Price: $200/month -
9
Codestral
Mistral AI
We introduce Codestral, our first-ever code model. Codestral is an open-weight generative AI model explicitly designed for code generation tasks. It helps developers write and interact with code through a shared instruction and completion API endpoint. As it masters code and English, it can be used to design advanced AI applications for software developers. Codestral is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash. It also performs well on more specific ones like Swift and Fortran. This broad language base ensures Codestral can assist developers in various coding environments and projects.Starting Price: Free -
10
ChatGPT Plus
OpenAI
We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response. ChatGPT Plus is a subscription plan for ChatGPT a conversational AI. ChatGPT Plus costs $20/month, and subscribers will receive a number of benefits: - General access to ChatGPT, even during peak times - Faster response times - GPT-4 access - ChatGPT plugins - Web-browsing with ChatGPT - Priority access to new features and improvements ChatGPT Plus is available to customers in the United States, and we will begin the process of inviting people from our waitlist over the coming weeks. We plan to expand access and support to additional countries and regions soon.Starting Price: $20 per month -
11
ChatGPT Enterprise
OpenAI
Enterprise-grade security & privacy and the most powerful version of ChatGPT yet. 1. Customer prompts or data are not used for training models 2. Data encryption at rest (AES-256) and in transit (TLS 1.2+) 3. SOC 2 compliant 4. Dedicated admin console and easy bulk member management 5. SSO and Domain Verification 6. Analytics dashboard to understand usage 7. Unlimited, high-speed access to GPT-4 and Advanced Data Analysis* 8. 32k token context windows for 4X longer inputs and memory 9. Shareable chat templates for your company to collaborateStarting Price: $60/user/month -
12
Gemini Advanced
Google
Gemini Advanced is a cutting-edge AI model designed for unparalleled performance in natural language understanding, generation, and problem-solving across diverse domains. Featuring a revolutionary neural architecture, it delivers exceptional accuracy, nuanced contextual comprehension, and deep reasoning capabilities. Gemini Advanced is engineered to handle complex, multifaceted tasks, from creating detailed technical content and writing code to conducting in-depth data analysis and providing strategic insights. Its adaptability and scalability make it a powerful solution for both individual users and enterprise-level applications. Gemini Advanced sets a new standard for intelligence, innovation, and reliability in AI-powered solutions. You'll also get access to Gemini in Gmail, Docs, and more, 2 TB storage, and other benefits from Google One. Gemini Advanced also offers access to Gemini with Deep Research. You can conduct in-depth and real-time research on almost any subject.Starting Price: $19.99 per month -
13
Granite Code
IBM
We introduce the Granite series of decoder-only code models for code generative tasks (e.g., fixing bugs, explaining code, documenting code), trained with code written in 116 programming languages. A comprehensive evaluation of the Granite Code model family on diverse tasks demonstrates that our models consistently reach state-of-the-art performance among available open source code LLMs. The key advantages of Granite Code models include: All-rounder Code LLM: Granite Code models achieve competitive or state-of-the-art performance on different kinds of code-related tasks, including code generation, explanation, fixing, editing, translation, and more. Demonstrating their ability to solve diverse coding tasks. Trustworthy Enterprise-Grade LLM: All our models are trained on license-permissible data collected following IBM's AI Ethics principles and guided by IBM’s Corporate Legal team for trustworthy enterprise usage.Starting Price: Free -
14
Google AI Studio
Google
Google AI Studio is a free, web-based tool that allows individuals and small teams to develop apps and chatbots using natural-language prompting. It also allows users to create prompts and API keys for app development. Google AI Studio is a development environment that allows users to discover Gemini Pro APIs, create prompts, and fine-tune Gemini. It also offers a generous free quota, allowing 60 requests per minute. Google also has a Generative AI Studio, which is a product on Vertex AI. It includes models of different types, allowing users to generate content that may be text, image, or audio.Starting Price: Free -
15
OpenAI Codex
OpenAI
Proficient in more than a dozen programming languages, Codex can now interpret simple commands in natural language and execute them on the user’s behalf—making it possible to build a natural language interface to existing applications. We are now inviting businesses and developers to build on top of OpenAI Codex through our API. OpenAI Codex is a descendant of GPT-3; its training data contains both natural language and billions of lines of source code from publicly available sources, including code in public GitHub repositories. OpenAI Codex is most capable in Python, but it is also proficient in over a dozen languages including JavaScript, Go, Perl, PHP, Ruby, Swift and TypeScript, and even Shell. It has a memory of 14KB for Python code, compared to GPT-3 which has only 4KB—so it can take into account over 3x as much contextual information while performing any task. -
16
Code Llama
Meta
Code Llama is a large language model (LLM) that can use text prompts to generate code. Code Llama is state-of-the-art for publicly available LLMs on code tasks, and has the potential to make workflows faster and more efficient for current developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity and educational tool to help programmers write more robust, well-documented software. Code Llama is a state-of-the-art LLM capable of generating code, and natural language about code, from both code and natural language prompts. Code Llama is free for research and commercial use. Code Llama is built on top of Llama 2 and is available in three models: Code Llama, the foundational code model; Codel Llama - Python specialized for Python; and Code Llama - Instruct, which is fine-tuned for understanding natural language instructions.Starting Price: Free -
17
Mercury Coder
Inception Labs
Mercury, the latest innovation from Inception Labs, is the first commercial-scale diffusion large language model (dLLM), offering a 10x speed increase and significantly lower costs compared to traditional autoregressive models. Built for high-performance reasoning, coding, and structured text generation, Mercury processes over 1000 tokens per second on NVIDIA H100 GPUs, making it one of the fastest LLMs available. Unlike conventional models that generate text one token at a time, Mercury refines responses using a coarse-to-fine diffusion approach, improving accuracy and reducing hallucinations. With Mercury Coder, a specialized coding model, developers can experience cutting-edge AI-driven code generation with superior speed and efficiency.Starting Price: Free -
18
Claude Pro
Anthropic
Claude Pro is an advanced large language model designed to handle complex tasks while maintaining a friendly, accessible demeanor. Trained on extensive, high-quality data, it excels at understanding context, interpreting subtle nuances, and producing well-structured, coherent responses across a wide range of topics. By leveraging robust reasoning capabilities and a refined knowledge base, Claude Pro can draft detailed reports, compose creative content, summarize lengthy documents, and even assist in coding tasks. Its adaptive algorithms continuously improve its ability to learn from feedback, ensuring that its output remains accurate, reliable, and helpful. Whether serving professionals seeking expert support or individuals looking for quick, informative answers, Claude Pro delivers a versatile and productive conversational experience.Starting Price: $18/month -
19
Lune AI
LuneAI
A community-driven marketplace of individual expert LLMs created by devs on technical topics that outperform standalone AI models. Reduce hallucinations on technical queries with Lunes that keep themselves up-to-date on various technical knowledge sources such as Github repositories, documentation, and more. Get references back just like Perplexity. Find and use hundreds of Lunes other users have created ranging from Lunes trained on open-source tools, to curated collections of tech blog posts. Create one from a variety of sources, including your own projects, and get exposure. Our API is hot-swappable with OpenAI's. Easily integrate with Cursor, Continue, and other various tools that support OpenAI-compatible models. Carry on with your conversations from your IDE to Lune Web at any time. Make a contribution directly within the chat, and get paid for every approved feedback. Or create a public Lune and share it out and get paid for your Lune's popularity.Starting Price: $10 per month -
20
CodeQwen
Alibaba
CodeQwen is the code version of Qwen, the large language model series developed by the Qwen team, Alibaba Cloud. It is a transformer-based decoder-only language model pre-trained on a large amount of data of codes. Strong code generation capabilities and competitive performance across a series of benchmarks. Supporting long context understanding and generation with the context length of 64K tokens. CodeQwen supports 92 coding languages and provides excellent performance in text-to-SQL, bug fixes, etc. You can just write several lines of code with transformers to chat with CodeQwen. Essentially, we build the tokenizer and the model from pre-trained methods, and we use the generate method to perform chatting with the help of the chat template provided by the tokenizer. We apply the ChatML template for chat models following our previous practice. The model completes the code snippets according to the given prompts, without any additional formatting.Starting Price: Free -
21
Codestral Mamba
Mistral AI
As a tribute to Cleopatra, whose glorious destiny ended in tragic snake circumstances, we are proud to release Codestral Mamba, a Mamba2 language model specialized in code generation, available under an Apache 2.0 license. Codestral Mamba is another step in our effort to study and provide new architectures. It is available for free use, modification, and distribution, and we hope it will open new perspectives in architecture research. Mamba models offer the advantage of linear time inference and the theoretical ability to model sequences of infinite length. It allows users to engage with the model extensively with quick responses, irrespective of the input length. This efficiency is especially relevant for code productivity use cases, this is why we trained this model with advanced code and reasoning capabilities, enabling it to perform on par with SOTA transformer-based models.Starting Price: Free -
22
SourceAI
SourceAI
Open to all (even for non-developers), straightforward and simple to use, clear and intuitive interface. Save time in development, generate your code in one click and use your time more efficiently. Powered by GPT-3 and Codex, the most advanced AI technology, and next-generation development. Sometimes SourceAI will have trouble understanding what you want, so you'll have to explain it in more detail. At SourceAI, we are a close-knit team of empathetic and optimistic developers who care deeply about accelerating human progress by making programming accessible to all. Our mission is to give everyone the opportunity to create valuable customized software. We build a self-contained system that can create software at the level of the world's most skilled engineers. We have developed a stand-alone system based on the GPT-3 language model. SourceAI is a tool that can generate code for you in any language from a plain text description. -
23
DeepSeek Coder
DeepSeek
DeepSeek Coder is a cutting-edge software tool designed to revolutionize the landscape of data analysis and coding. By leveraging advanced machine learning algorithms and natural language processing capabilities, it empowers users to seamlessly integrate data querying, analysis, and visualization into their workflow. The intuitive interface of DeepSeek Coder enables both novice and experienced programmers to efficiently write, test, and optimize code. Its robust set of features includes real-time syntax checking, intelligent code completion, and comprehensive debugging tools, all designed to streamline the coding process. Additionally, DeepSeek Coder's ability to understand and interpret complex data sets ensures that users can derive meaningful insights and create sophisticated data-driven applications with ease.Starting Price: Free -
24
AiXcoder
AiXcoder
Leave Artificial Intelligence to AIXcoder. Leave Real Intelligence to Human. The offline version is released! Your code is safe on your computer locally. AiXcoder works in smooth locally with state of art deep learning model compression techniques. The models are trained with a massive amount of open source code. And adapted to several areas. A search window is seamlessly integrated into IDE with the ability to search open-source code on GitHub. Deep learning is used to filter high-quality code as search results. Search API usage and examples. Search similar code to avoid duplicated coding. Project Level Personalized Training: Train models on personal project and computer. Enterprise Level Customized Training: Train models on code base and enterprise server. Based on standard model, personalized and customized training will learn the patterns and rules in your proprietary code. -
25
Tülu 3
Ai2
Tülu 3 is an advanced instruction-following language model developed by the Allen Institute for AI (Ai2), designed to enhance capabilities in areas such as knowledge, reasoning, mathematics, coding, and safety. Built upon the Llama 3 Base, Tülu 3 employs a comprehensive four-stage post-training process: meticulous prompt curation and synthesis, supervised fine-tuning on a diverse set of prompts and completions, preference tuning using both off- and on-policy data, and a novel reinforcement learning approach to bolster specific skills with verifiable rewards. This open-source model distinguishes itself by providing full transparency, including access to training data, code, and evaluation tools, thereby closing the performance gap between open and proprietary fine-tuning methods. Evaluations indicate that Tülu 3 outperforms other open-weight models of similar size, such as Llama 3.1-Instruct and Qwen2.5-Instruct, across various benchmarks.Starting Price: Free -
26
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 -
27
GPT4All
Nomic AI
GPT4All is an ecosystem to train and deploy powerful and customized large language models that run locally on consumer-grade CPUs. The goal is simple - be the best instruction-tuned assistant-style language model that any person or enterprise can freely use, distribute and build on. A GPT4All model is a 3GB - 8GB file that you can download and plug into the GPT4All open-source ecosystem software. Nomic AI supports and maintains this software ecosystem to enforce quality and security alongside spearheading the effort to allow any person or enterprise to easily train and deploy their own on-edge large language models. Data is one the most important ingredients to successfully building a powerful, general-purpose large language model. The GPT4All community has built the GPT4All open source data lake as a staging ground for contributing instruction and assistant tuning data for future GPT4All model trains.Starting Price: Free -
28
CodeAssist
CodeAssist
When you work with CodeAssist plugin/extension, the code that CodeAssist works with is sent to the CodeAssist API. Your code is processed there to generate CodeAssist response (in the form of code change or message). Currently, the processed code is not stored on the server. If there are any changes to that, I'll let you know. If you don't use "Complete" feature (ALT+X shortcut), then it only processes the file that you have open in the editor. If you use "Complete" feature, then it processes other files in your codebase as well. As part of generating response, CodeAssist sends the code to OpenAI API. OpenAI stores the code for 1 month to provide and maintain their services, comply with applicable law, and enforce their policies. The code is not used by OpenAI for improvement of their services or training of their models.Starting Price: Free -
29
OLMo 2
Ai2
OLMo 2 is a family of fully open language models developed by the Allen Institute for AI (AI2), designed to provide researchers and developers with transparent access to training data, open-source code, reproducible training recipes, and comprehensive evaluations. These models are trained on up to 5 trillion tokens and are competitive with leading open-weight models like Llama 3.1 on English academic benchmarks. OLMo 2 emphasizes training stability, implementing techniques to prevent loss spikes during long training runs, and utilizes staged training interventions during late pretraining to address capability deficiencies. The models incorporate state-of-the-art post-training methodologies from AI2's Tülu 3, resulting in the creation of OLMo 2-Instruct models. An actionable evaluation framework, the Open Language Modeling Evaluation System (OLMES), was established to guide improvements through development stages, consisting of 20 evaluation benchmarks assessing core capabilities. -
30
CodeGemma
Google
CodeGemma is a collection of powerful, lightweight models that can perform a variety of coding tasks like fill-in-the-middle code completion, code generation, natural language understanding, mathematical reasoning, and instruction following. CodeGemma has 3 model variants, a 7B pre-trained variant that specializes in code completion and generation from code prefixes and/or suffixes, a 7B instruction-tuned variant for natural language-to-code chat and instruction following; and a state-of-the-art 2B pre-trained variant that provides up to 2x faster code completion. Complete lines, and functions, and even generate entire blocks of code, whether you're working locally or using Google Cloud resources. Trained on 500 billion tokens of primarily English language data from web documents, mathematics, and code, CodeGemma models generate code that's not only more syntactically correct but also semantically meaningful, reducing errors and debugging time. -
31
Gemini 2.0
Google
Gemini 2.0 is an advanced AI-powered model developed by Google, designed to offer groundbreaking capabilities in natural language understanding, reasoning, and multimodal interactions. Building on the success of its predecessor, Gemini 2.0 integrates large language processing with enhanced problem-solving and decision-making abilities, enabling it to interpret and generate human-like responses with greater accuracy and nuance. Unlike traditional AI models, Gemini 2.0 is trained to handle multiple data types simultaneously, including text, images, and code, making it a versatile tool for research, business, education, and creative industries. Its core improvements include better contextual understanding, reduced bias, and a more efficient architecture that ensures faster, more reliable outputs. Gemini 2.0 is positioned as a major step forward in the evolution of AI, pushing the boundaries of human-computer interaction.Starting Price: Free -
32
Refact.ai
Refact AI
Refact.ai is a cutting-edge, open-source AI coding assistant designed to enhance developer productivity through intelligent code completion, real-time code reviews, and personalized support. By integrating with popular IDEs like VS Code, JetBrains, and PyCharm, Refact.ai provides a seamless development experience, offering personalized auto-completion, code refactoring, and AI-driven suggestions based on your unique codebase. With the ability to fine-tune models using company-specific data, Refact.ai optimizes its performance for better accuracy and faster code generation. Whether you're building new features or improving existing code, Refact.ai ensures your development process is more efficient, secure, and aligned with best practices.Starting Price: $0 -
33
Devika
Devika
Devika is an open-source AI software engineer designed to understand high-level instructions, break them into steps, research relevant information, and write code to complete objectives. Using large language models, reasoning algorithms, and web browsing capabilities, Devika can assist in software development by taking on complex coding tasks with minimal human intervention. The platform supports multiple programming languages and offers key features like advanced AI planning, contextual keyword extraction, and dynamic agent tracking. Devika aims to be a competitive alternative to commercial AI tools, providing an ambitious, open-source solution for developers.Starting Price: Free -
34
Claude
Anthropic
Claude is an artificial intelligence large language model that can process and generate human-like text. Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Large, general systems of today can have significant benefits, but can also be unpredictable, unreliable, and opaque: our goal is to make progress on these issues. For now, we’re primarily focused on research towards these goals; down the road, we foresee many opportunities for our work to create value commercially and for public benefit.Starting Price: Free -
35
DeepSeek R1
DeepSeek
DeepSeek-R1 is an advanced open-source reasoning model developed by DeepSeek, designed to rival OpenAI's Model o1. Accessible via web, app, and API, it excels in complex tasks such as mathematics and coding, demonstrating superior performance on benchmarks like the American Invitational Mathematics Examination (AIME) and MATH. DeepSeek-R1 employs a mixture of experts (MoE) architecture with 671 billion total parameters, activating 37 billion parameters per token, enabling efficient and accurate reasoning capabilities. This model is part of DeepSeek's commitment to advancing artificial general intelligence (AGI) through open-source innovation.Starting Price: Free -
36
OpenAI o3
OpenAI
OpenAI o3 is an advanced AI model designed to enhance reasoning capabilities by breaking down complex instructions into smaller, more manageable steps. It offers significant improvements over previous AI iterations, excelling in coding tasks, competitive programming, and achieving high scores in mathematics and science benchmarks. Available for widespread use, OpenAI o3 supports advanced AI-driven problem-solving and decision-making processes. The model incorporates deliberative alignment techniques to ensure its responses align with established safety and ethical guidelines, making it a powerful tool for developers, researchers, and enterprises seeking sophisticated AI solutions. -
37
Code Snippets AI
Code Snippets AI
Turn your questions into code. Easily store and fetch your snippets. Collaborate with your team. Powered by ChatGPT & our fine-tuned GPT3 model. Gain a deeper understanding of your code to further your knowledge. Increase the quality of your code with our refactor and debug features. Securely share code snippets with your team, without losing formatting. We use ChatGPT & our fine-tuned GPT3 Model, which provides faster and more accurate responses to your questions, compared to Codex apps. Create documentation, refactor, debug, and generate code with the click of a button. We use a fine-tuned AI model trained on GPT3, which provides faster and more accurate responses to your questions, compared to Codex apps. Save your code from your IDE straight into your library with our VSCode extension. Search snippets by language, name, or folder. Create your own folder structure to suit your needs. We use ChatGPT & our fine-tuned GPT3 Model, which provides faster and more accurate responses.Starting Price: $2 per month -
38
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 -
39
Sky-T1
NovaSky
Sky-T1-32B-Preview is an open source reasoning model developed by the NovaSky team at UC Berkeley's Sky Computing Lab. It matches the performance of proprietary models like o1-preview on reasoning and coding benchmarks, yet was trained for under $450, showcasing the feasibility of cost-effective, high-level reasoning capabilities. The model was fine-tuned from Qwen2.5-32B-Instruct using a curated dataset of 17,000 examples across diverse domains, including math and coding. The training was completed in 19 hours on eight H100 GPUs with DeepSpeed Zero-3 offloading. All aspects of the project, including data, code, and model weights, are fully open-source, empowering the academic and open-source communities to replicate and enhance the model's performance.Starting Price: Free -
40
OpenAI o3-mini
OpenAI
OpenAI o3-mini is a lightweight version of the advanced o3 AI model, offering powerful reasoning capabilities in a more efficient and accessible package. Designed to break down complex instructions into smaller, manageable steps, o3-mini excels in coding tasks, competitive programming, and problem-solving in mathematics and science. This compact model provides the same high-level precision and logic as its larger counterpart but with reduced computational requirements, making it ideal for use in resource-constrained environments. With built-in deliberative alignment, o3-mini ensures safe, ethical, and context-aware decision-making, making it a versatile tool for developers, researchers, and businesses seeking a balance between performance and efficiency. -
41
IBM Granite
IBM
IBM® Granite™ is a family of artificial intelligence (AI) models purpose-built for business, engineered from scratch to help ensure trust and scalability in AI-driven applications. Open source Granite models are available today. We make AI as accessible as possible for as many developers as possible. That’s why we have open-sourced core Granite Code, Time Series, Language, and GeoSpatial models and made them available on Hugging Face under permissive Apache 2.0 license that enables broad, unencumbered commercial usage. All Granite models are trained on carefully curated data, with industry-leading levels of transparency about the data that went into them. We have also open-sourced the tools we use to ensure the data is high quality and up to the standards that enterprise-grade applications demand.Starting Price: Free -
42
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.Starting Price: Free -
43
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 -
44
Qwen
Alibaba
Qwen LLM refers to a family of large language models (LLMs) developed by Alibaba Cloud's Damo Academy. These models are trained on a massive dataset of text and code, allowing them to understand and generate human-like text, translate languages, write different kinds of creative content, and answer your questions in an informative way. Here are some key features of Qwen LLMs: Variety of sizes: The Qwen series ranges from 1.8 billion to 72 billion parameters, offering options for different needs and performance levels. Open source: Some versions of Qwen are open-source, which means their code is publicly available for anyone to use and modify. Multilingual support: Qwen can understand and translate multiple languages, including English, Chinese, and French. Diverse capabilities: Besides generation and translation, Qwen models can be used for tasks like question answering, text summarization, and code generation.Starting Price: Free -
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OpenEuroLLM
OpenEuroLLM
OpenEuroLLM is a collaborative initiative among Europe's leading AI companies and research institutions to develop a series of open-source foundation models for transparent AI in Europe. The project emphasizes transparency by openly sharing data, documentation, training, testing code, and evaluation metrics, fostering community involvement. It ensures compliance with EU regulations, aiming to provide performant large language models that align with European standards. A key focus is on linguistic and cultural diversity, extending multilingual capabilities to encompass all EU official languages and beyond. The initiative seeks to enhance access to foundational models ready for fine-tuning across various applications, expand evaluation results in multiple languages, and increase the availability of training datasets and benchmarks. Transparency is maintained throughout the training processes by sharing tools, methodologies, and intermediate results. -
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PygmalionAI
PygmalionAI
PygmalionAI is a community dedicated to creating open-source projects based on EleutherAI's GPT-J 6B and Meta's LLaMA models. In simple terms, Pygmalion makes AI fine-tuned for chatting and roleplaying purposes. The current actively supported Pygmalion AI model is the 7B variant, based on Meta AI's LLaMA model. With only 18GB (or less) VRAM required, Pygmalion offers better chat capability than much larger language models with relatively minimal resources. Our curated dataset of high-quality roleplaying data ensures that your bot will be the optimal RP partner. Both the model weights and the code used to train it are completely open-source, and you can modify/re-distribute it for whatever purpose you want. Language models, including Pygmalion, generally run on GPUs since they need access to fast memory and massive processing power in order to output coherent text at an acceptable speed.Starting Price: Free -
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DBRX
Databricks
Today, we are excited to introduce DBRX, an open, general-purpose LLM created by Databricks. Across a range of standard benchmarks, DBRX sets a new state-of-the-art for established open LLMs. Moreover, it provides the open community and enterprises building their own LLMs with capabilities that were previously limited to closed model APIs; according to our measurements, it surpasses GPT-3.5, and it is competitive with Gemini 1.0 Pro. It is an especially capable code model, surpassing specialized models like CodeLLaMA-70B in programming, in addition to its strength as a general-purpose LLM. This state-of-the-art quality comes with marked improvements in training and inference performance. DBRX advances the state-of-the-art in efficiency among open models thanks to its fine-grained mixture-of-experts (MoE) architecture. Inference is up to 2x faster than LLaMA2-70B, and DBRX is about 40% of the size of Grok-1 in terms of both total and active parameter counts. -
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DeepSeek-V2
DeepSeek
DeepSeek-V2 is a state-of-the-art Mixture-of-Experts (MoE) language model introduced by DeepSeek-AI, characterized by its economical training and efficient inference capabilities. With a total of 236 billion parameters, of which only 21 billion are active per token, it supports a context length of up to 128K tokens. DeepSeek-V2 employs innovative architectures like Multi-head Latent Attention (MLA) for efficient inference by compressing the Key-Value (KV) cache and DeepSeekMoE for cost-effective training through sparse computation. This model significantly outperforms its predecessor, DeepSeek 67B, by saving 42.5% in training costs, reducing the KV cache by 93.3%, and enhancing generation throughput by 5.76 times. Pretrained on an 8.1 trillion token corpus, DeepSeek-V2 excels in language understanding, coding, and reasoning tasks, making it a top-tier performer among open-source models.Starting Price: Free -
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16x Prompt
16x Prompt
Manage source code context and generate optimized prompts. Ship with ChatGPT and Claude. 16x Prompt helps developers manage source code context and prompts to complete complex coding tasks on existing codebases. Enter your own API key to use APIs from OpenAI, Anthropic, Azure OpenAI, OpenRouter, or 3rd party services that offer OpenAI API compatibility, such as Ollama and OxyAPI. Using API avoids leaking your code to OpenAI or Anthropic training data. Compare the code output of different LLM models (for example, GPT-4o & Claude 3.5 Sonnet) side-by-side to see which one is the best for your use case. Craft and save your best prompts as task instructions or custom instructions to use across different tech stacks like Next.js, Python, and SQL. Fine-tune your prompt with various optimization settings to get the best results. Organize your source code context using workspaces to manage multiple repositories and projects in one place and switch between them easily.Starting Price: $24 one-time payment -
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YouPro
You.com
With YouPro, experience the freedom of unlimited access to cutting-edge AI models. You can search, code, write, and create images all in one place. Experience conversational web searches with more accurate and comprehensive results. AI advanced reasoning provides more insightful and reliable research. With access to our powerful AI art generator, you can create unlimited, vibrant images for emails, website copy, printed materials, and more. All copyright-free and royalty-free! Access to all AI models, including GPT-4o, OpenAI o1, and Claude 3.5 Sonnet. Unlimited file uploads, up to 50MB per query. Unlimited queries, including all AI models and Research and Custom Agents.Starting Price: $20/month