Best Artificial Intelligence Software for Mac - Page 25
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Compare the Top Artificial Intelligence Software for Mac as of November 2025 - Page 25
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1
Noa AI
Eunoia Apps
Noa AI is an application that facilitates seamless AI interactions powered by Gemini. It offers an iMessage-like chatting experience, complete with read-aloud functionality and message regeneration. Users can upload images and PDFs for detailed analysis, and the app provides concise summaries of YouTube videos and web pages. With iCloud-synced chat history, conversations are accessible across all devices. Dedicated chat agents cater to various tasks, and the GemSearch feature enables AI-powered web browsing. The app also includes a full web mode for an uncompromised AI interaction experience. Noa AI is available on the App Store for iPhone, iPad, and Mac, requiring iOS 17.0, iPadOS 17.0, or macOS 14.0 or later.Starting Price: Free -
2
TRAE
ByteDance
TRAE is an advanced AI-powered development environment that acts as a 10x engineering assistant for developers. It can autonomously understand project requirements, write code, debug issues, and deliver complete software solutions. TRAE integrates seamlessly into your workflow with intelligent features like real-time collaboration, contextual understanding, and predictive coding assistance. Its SOLO mode enables developers to build, test, and deploy entire applications with minimal input. Using Model Context Protocol (MCP), TRAE dynamically connects to tools, APIs, and external data to optimize performance and accuracy. Designed for speed, precision, and security, TRAE empowers developers to ship production-ready software faster than ever before.Starting Price: Free -
3
Llama Stack
Meta
Llama Stack is a modular framework designed to streamline the development of applications powered by Meta's Llama language models. It offers a client-server architecture with flexible configurations, allowing developers to mix and match various providers for components such as inference, memory, agents, telemetry, and evaluations. The framework includes pre-configured distributions tailored for different deployment scenarios, enabling seamless transitions from local development to production environments. Developers can interact with the Llama Stack server using client SDKs available in multiple programming languages, including Python, Node.js, Swift, and Kotlin. Comprehensive documentation and example applications are provided to assist users in building and deploying Llama-based applications efficiently.Starting Price: Free -
4
Janus-Pro-7B
DeepSeek
Janus-Pro-7B is an innovative open-source multimodal AI model from DeepSeek, designed to excel in both understanding and generating content across text, images, and videos. It leverages a unique autoregressive architecture with separate pathways for visual encoding, enabling high performance in tasks ranging from text-to-image generation to complex visual comprehension. This model outperforms competitors like DALL-E 3 and Stable Diffusion in various benchmarks, offering scalability with versions from 1 billion to 7 billion parameters. Licensed under the MIT License, Janus-Pro-7B is freely available for both academic and commercial use, providing a significant leap in AI capabilities while being accessible on major operating systems like Linux, MacOS, and Windows through Docker.Starting Price: Free -
5
DeepSeekMath
DeepSeek
DeepSeekMath is a specialized 7B parameter language model developed by DeepSeek-AI, designed to push the boundaries of mathematical reasoning in open-source language models. It starts from the DeepSeek-Coder-v1.5 7B model and undergoes further pre-training with 120B math-related tokens sourced from Common Crawl, alongside natural language and code data. DeepSeekMath has demonstrated remarkable performance, achieving a 51.7% score on the competition-level MATH benchmark without external tools or voting techniques, closely competing with the likes of Gemini-Ultra and GPT-4. The model's capabilities are enhanced by a meticulous data selection pipeline and the introduction of Group Relative Policy Optimization (GRPO), which optimizes both mathematical reasoning and memory usage. DeepSeekMath is available in base, instruct, and RL versions, supporting both research and commercial use, and is aimed at those looking to explore or apply advanced mathematical problem-solving in AI contexts.Starting Price: Free -
6
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 -
7
Falcon Mamba 7B
Technology Innovation Institute (TII)
Falcon Mamba 7B is the first open-source State Space Language Model (SSLM), introducing a groundbreaking architecture for Falcon models. Recognized as the top-performing open-source SSLM worldwide by Hugging Face, it sets a new benchmark in AI efficiency. Unlike traditional transformers, SSLMs operate with minimal memory requirements and can generate extended text sequences without additional overhead. Falcon Mamba 7B surpasses leading transformer-based models, including Meta’s Llama 3.1 8B and Mistral’s 7B, showcasing superior performance. This innovation underscores Abu Dhabi’s commitment to advancing AI research and development on a global scale.Starting Price: Free -
8
Falcon 2
Technology Innovation Institute (TII)
Falcon 2 11B is an open-source, multilingual, and multimodal AI model, uniquely equipped with vision-to-language capabilities. It surpasses Meta’s Llama 3 8B and delivers performance on par with Google’s Gemma 7B, as independently confirmed by the Hugging Face Leaderboard. Looking ahead, the next phase of development will integrate a 'Mixture of Experts' approach to further enhance Falcon 2’s capabilities, pushing the boundaries of AI innovation.Starting Price: Free -
9
Falcon 3
Technology Innovation Institute (TII)
Falcon 3 is an open-source large language model (LLM) developed by the Technology Innovation Institute (TII) to make advanced AI accessible to a broader audience. Designed for efficiency, it operates seamlessly on lightweight devices, including laptops, without compromising performance. The Falcon 3 ecosystem comprises four scalable models, each tailored to diverse applications, and supports multiple languages while optimizing resource usage. This latest iteration in TII's LLM series achieves state-of-the-art results in reasoning, language understanding, instruction following, code, and mathematics tasks. By combining high performance with resource efficiency, Falcon 3 aims to democratize access to AI, empowering users across various sectors to leverage advanced technology without the need for extensive computational resources.Starting Price: Free -
10
Qwen2.5-Max
Alibaba
Qwen2.5-Max is a large-scale Mixture-of-Experts (MoE) model developed by the Qwen team, pretrained on over 20 trillion tokens and further refined through Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF). In evaluations, it outperforms models like DeepSeek V3 in benchmarks such as Arena-Hard, LiveBench, LiveCodeBench, and GPQA-Diamond, while also demonstrating competitive results in other assessments, including MMLU-Pro. Qwen2.5-Max is accessible via API through Alibaba Cloud and can be explored interactively on Qwen Chat.Starting Price: Free -
11
Qwen2.5-VL
Alibaba
Qwen2.5-VL is the latest vision-language model from the Qwen series, representing a significant advancement over its predecessor, Qwen2-VL. This model excels in visual understanding, capable of recognizing a wide array of objects, including text, charts, icons, graphics, and layouts within images. It functions as a visual agent, capable of reasoning and dynamically directing tools, enabling applications such as computer and phone usage. Qwen2.5-VL can comprehend videos exceeding one hour in length and can pinpoint relevant segments within them. Additionally, it accurately localizes objects in images by generating bounding boxes or points and provides stable JSON outputs for coordinates and attributes. The model also supports structured outputs for data like scanned invoices, forms, and tables, benefiting sectors such as finance and commerce. Available in base and instruct versions across 3B, 7B, and 72B sizes, Qwen2.5-VL is accessible through platforms like Hugging Face and ModelScope.Starting Price: Free -
12
TalkText
TalkText
TalkText is an AI-powered dictation tool designed to enhance productivity by converting natural speech into polished text across various applications on macOS. By pressing 'option + space', users can dictate in any app, and TalkText refines the input by removing filler words and correcting mistakes, resulting in clear and professional text. The tool also offers a 'restyle' feature, allowing users to select any text and instruct TalkText to rewrite it in a desired tone or style, such as making it more empathetic or confident. Supporting over 30 languages, TalkText ensures accurate transcription and proper formatting, including capitalization and punctuation. Privacy is a priority, with real-time audio processing that is not stored or used for model training. The platform offers a free tier with up to 2,000 words per month, with options to upgrade for unlimited usage.Starting Price: $6.50 per month -
13
Hathr AI
Hathr AI
HIPAA-compliant AI Chat Tool, API, and Enterprise Solutions powered by Anthropic's Claude, Hathr AI empowers healthcare providers, insurers, and anyone who needs to deal with HIPAA Controlled Data to automate and streamline operations without compromising on data security. Hosted in AWS GovCloud's FedRAMP high environment and Hathr AI helps teams ensure that all data interactions remains confidential and protected against unauthorized access. It allows users to automate tasks such as patient note summarization, pre-authorization writing, and insurance claim submissions on a unified interface. Leveraging models, such as Claude 3.5 Sonnet, Hathr AI provides a private, HIPAA-compliant AI environment, ensuring that sensitive data remains within control. Teams can retrieve and summarize information from extensive medical records, enabling informed clinical decisions.Starting Price: $45/month -
14
Vatic AI
Vatic AI
Vatic AI is an innovative platform that enables users to generate high-quality videos by simply entering a text prompt. Whether you're a marketer, educator, or content creator, Vatic AI streamlines the creative process, allowing you to produce professional videos effortlessly. By leveraging advanced AI technology, the platform transforms your ideas into visually appealing videos in seconds, ensuring your content stands out. To create a video, input your text prompt, customize the video settings as needed, and generate the video instantly. Vatic AI offers features such as text-to-video conversion, customization options, instant video generation, and high-quality output. This approach saves time, is user-friendly, provides professional quality, and is affordable. Vatic AI is ideal for marketing videos, educational content, social media posts, promotional materials, and internal communications.Starting Price: Free -
15
Thoughtflow
Redsprint Ltd
Thoughtflow is an innovative AI chat assistant developed by Redsprint Ltd., designed to enhance interactions with GPT models through a tree-based conversation format. This structure allows users to manage and explore complex topics intuitively and organizedly. Traditional linear chats can make it challenging to revisit ideas or explore multiple directions without losing track of the conversation. Thoughtflow addresses this by enabling users to branch off at any point, facilitating the exploration of alternative paths and focusing on areas of interest. Whether you're a student, thinker, creator, or innovator, Thoughtflow's structured approach empowers you to dive deeper, compare insights, and unlock new possibilities. Key features include a tree-based dialog structure for visualizing and organizing conversations and flexible integration with preferred GPT models (such as using Ollama locally on Mac or OpenAI via your own API key).Starting Price: Free -
16
Step into the future of content creation with Mirage, the ultimate AI video generator that turns your wildest ideas into high-quality video masterpieces. Whether you're a content creator, filmmaker, or simply looking to create jaw-dropping content for social media, Mirage makes it effortless to generate professional-grade videos. With just a text prompt or image, you can craft cinematic experiences that captivate, inspire, and engage. Mirage is powered by cutting-edge AI technology, delivering unmatched realism and consistency. This AI video generator ensures every frame is cohesive, bringing your creative vision to life with precision. From dynamic cityscapes to emotionally charged scenes, Mirage captures every detail, making your videos unforgettable. Mirage allows you to explore a variety of cinematic camera angles, creating fluid and captivating movements. This AI video generator ensures your content looks like it was crafted by a professional film crew.Starting Price: Free
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17
Perplexity Research
Perplexity AI
Perplexity Research is an advanced AI-powered deep research tool designed to conduct thorough analyses across a wide range of complex subjects. By emulating human-like research processes, it iteratively searches, reads, and evaluates documents, refining its approach to develop a comprehensive understanding of the topic. Upon completing its analysis, Perplexity Research synthesizes the gathered information into clear, detailed reports, which users can export as PDFs or shareable web pages. This tool excels in various domains, including finance, marketing, technology, health, and travel planning, enabling users to perform expert-level research efficiently. Deep Research is currently accessible on the web, with plans to expand to iOS, Android, and Mac platforms, and is available for free, offering unlimited queries to Pro subscribers and a limited number of daily answers to non-subscribers.Starting Price: Free -
18
Sonar
Perplexity
Perplexity has recently introduced an enhanced version of its AI search engine, named Sonar. Built upon the Llama 3.3 70B model, Sonar has undergone additional training to improve the factual accuracy and readability of responses in Perplexity's default search mode. This advancement aims to deliver users more precise and comprehensible answers while maintaining the platform's characteristic efficiency and speed. Sonar also provides real-time, web-wide research and Q&A capabilities, allowing developers to integrate these features into their products through a lightweight, cost-effective, and user-friendly API. The Sonar API supports advanced models like sonar-reasoning-pro and sonar-pro, designed for complex tasks requiring deep understanding and context retention. These models offer detailed answers with an average of twice as many citations as previous versions, enhancing the transparency and reliability of the information provided.Starting Price: Free -
19
DePassport
DePassport
DePassport is an AI-powered social connection app that connects people based on their interests, profiles, and preferences, rather than random requests. It offers personal AI matching for dating, roommates, gym partners, and friends, as well as professional AI matching for mentors, business partners, and entrepreneurs. The platform also enables users to build stronger personal and professional networks by joining or creating thriving communities centered around shared interests. DePassport's AI-driven approach provides hyper-personalized matches tailored to each individual, fostering meaningful connections. The app is available for download on both the Apple App Store and Google Play Store. Create your profile, sit back and the AI matching system will find the perfect match for you. DePassport acts as a friend finder, helping you connect with like-minded individuals to form lasting friendships.Starting Price: Free -
20
R1 1776
Perplexity AI
Perplexity AI has open-sourced R1 1776, a large language model (LLM) based on DeepSeek R1 designed to enhance transparency and foster community collaboration in AI development. This release allows researchers and developers to access the model's architecture and codebase, enabling them to contribute to its improvement and adaptation for various applications. By sharing R1 1776 openly, Perplexity AI aims to promote innovation and ethical practices within the AI community.Starting Price: Free -
21
txtai
NeuML
txtai is an all-in-one open source embeddings database designed for semantic search, large language model orchestration, and language model workflows. It unifies vector indexes (both sparse and dense), graph networks, and relational databases, providing a robust foundation for vector search and serving as a powerful knowledge source for LLM applications. With txtai, users can build autonomous agents, implement retrieval augmented generation processes, and develop multi-modal workflows. Key features include vector search with SQL support, object storage integration, topic modeling, graph analysis, and multimodal indexing capabilities. It supports the creation of embeddings for various data types, including text, documents, audio, images, and video. Additionally, txtai offers pipelines powered by language models that handle tasks such as LLM prompting, question-answering, labeling, transcription, translation, and summarization.Starting Price: Free -
22
LexVec
Alexandre Salle
LexVec is a word embedding model that achieves state-of-the-art results in multiple natural language processing tasks by factorizing the Positive Pointwise Mutual Information (PPMI) matrix using stochastic gradient descent. This approach assigns heavier penalties for errors on frequent co-occurrences while accounting for negative co-occurrences. Pre-trained vectors are available, including a common crawl dataset with 58 billion tokens and 2 million words in 300 dimensions, and an English Wikipedia 2015 + NewsCrawl dataset with 7 billion tokens and 368,999 words in 300 dimensions. Evaluations demonstrate that LexVec matches or outperforms other models like word2vec in terms of word similarity and analogy tasks. The implementation is open source under the MIT License and is available on GitHub.Starting Price: Free -
23
GloVe
Stanford NLP
GloVe (Global Vectors for Word Representation) is an unsupervised learning algorithm developed by the Stanford NLP Group to obtain vector representations for words. It constructs word embeddings by analyzing global word-word co-occurrence statistics from a given corpus, resulting in vector spaces where the geometric relationships reflect semantic similarities and differences among words. A notable feature of GloVe is its ability to capture linear substructures within the word vector space, enabling vector arithmetic to express relationships. The model is trained on the non-zero entries of a global word-word co-occurrence matrix, which records how frequently pairs of words appear together in a corpus. This approach efficiently leverages statistical information by focusing on significant co-occurrences, leading to meaningful word representations. Pre-trained word vectors are available for various corpora, including Wikipedia 2014.Starting Price: Free -
24
fastText
fastText
fastText is an open source, free, and lightweight library developed by Facebook's AI Research (FAIR) lab for efficient learning of word representations and text classification. It supports both unsupervised learning of word vectors and supervised learning for text classification tasks. A key feature of fastText is its ability to capture subword information by representing words as bags of character n-grams, which enhances the handling of morphologically rich languages and out-of-vocabulary words. The library is optimized for performance and capable of training on large datasets quickly, and the resulting models can be reduced in size for deployment on mobile devices. Pre-trained word vectors are available for 157 languages, trained on Common Crawl and Wikipedia data, and can be downloaded for immediate use. fastText also offers aligned word vectors for 44 languages, facilitating cross-lingual natural language processing tasks.Starting Price: Free -
25
Gensim
Radim Řehůřek
Gensim is a free, open source Python library designed for unsupervised topic modeling and natural language processing, focusing on large-scale semantic modeling. It enables the training of models like Word2Vec, FastText, Latent Semantic Analysis (LSA), and Latent Dirichlet Allocation (LDA), facilitating the representation of documents as semantic vectors and the discovery of semantically related documents. Gensim is optimized for performance with highly efficient implementations in Python and Cython, allowing it to process arbitrarily large corpora using data streaming and incremental algorithms without loading the entire dataset into RAM. It is platform-independent, running on Linux, Windows, and macOS, and is licensed under the GNU LGPL, promoting both personal and commercial use. The library is widely adopted, with thousands of companies utilizing it daily, over 2,600 academic citations, and more than 1 million downloads per week.Starting Price: Free -
26
NLTK
NLTK
The Natural Language Toolkit (NLTK) is a comprehensive, open source Python library designed for human language data processing. It offers user-friendly interfaces to over 50 corpora and lexical resources, such as WordNet, along with a suite of text processing libraries for tasks including classification, tokenization, stemming, tagging, parsing, and semantic reasoning. NLTK also provides wrappers for industrial-strength NLP libraries and maintains an active discussion forum. Accompanied by a hands-on guide that introduces programming fundamentals alongside computational linguistics topics, and comprehensive API documentation, NLTK is suitable for linguists, engineers, students, educators, researchers, and industry professionals. It is compatible with Windows, Mac OS X, and Linux platforms. Notably, NLTK is a free, community-driven project.Starting Price: Free -
27
Privatemode AI
Privatemode
Privatemode is an AI service like ChatGPT—but with one critical difference: your data stays private. Using confidential computing, Privatemode encrypts your data before it leaves your device and keeps it protected even during AI processing. This ensures that your information remains secure at all times. Key features: End-to-end encryption: With confidential computing, your data remains encrypted at all times - during transfer, storage, and during processing in main memory. End-to-end attestation: The Privatemode app and proxy verify the integrity of the Privatemode service based on hardware-issued cryptographic certificates. Advanced zero-trust architecture: The Privatemode service is architected to prevent any external party from accessing your data, including even Edgeless Systems. Hosted in the EU: The Privatemode service is hosted in top-tier data centers in the European Union. More locations are coming soon.Starting Price: €5/1M tokens -
28
SWE-agent
SWE-agent
SWE-agent is an advanced AI-powered tool designed to automate various tasks such as fixing GitHub issues, performing cybersecurity operations like Capture The Flag (CTF) challenges, and solving coding problems. By leveraging language models such as GPT-4 or Claude, it interacts with isolated computer environments to carry out tasks autonomously, providing highly customizable solutions for developers and cybersecurity professionals. The platform supports a wide range of use cases, from improving software repositories to identifying vulnerabilities, and even executing custom tasks. Developed by researchers from Princeton and Stanford University, SWE-agent offers a powerful way to integrate machine learning with practical problem-solving in both software development and security fields.Starting Price: Free -
29
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 -
30
Mate Translate
Gikken
Mate is a powerful and seamless translation app designed for iOS, macOS, and major web browsers, providing instant translation between 103 languages. It offers high-accuracy translations, with features like perfect pronunciation, intuitive phonetics, and cross-platform synchronization of translation history and saved phrases. Mate integrates smoothly into users’ workflows, enabling quick translations without the need for switching tabs or apps. It allows translation of web pages, emails, notes, and more, and works offline on iOS devices. Users can save and categorize phrases in a personal phrasebook, and the app includes features like synonyms, word genders, and customizations for both light and dark modes. It is designed to be fast, accessible, and simple, catering to frequent translators who need a tool that feels like a natural extension of their daily tasks.Starting Price: Free
