Best Artificial Intelligence Software for Windows - Page 25

Compare the Top Artificial Intelligence Software for Windows as of October 2025 - Page 25

  • 1
    Qwen2.5-Max
    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
  • 2
    Qwen2.5-VL

    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
  • 3
    Hathr AI

    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
  • 4
    Sonar

    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
  • 5
    scalerX.ai

    scalerX.ai

    scalerX.ai

    Launch & train your own personalized AI-RAG agents on Telegram. With scalerX you can create personalized RAG AI-powered agents trained with your knowledge base in minutes, no code required. These AI agents are integrated directly into Telegram, including groups and channels. Awesome for education, sales, customer service, entertainment, automating community moderation and engagement. Agents can behave as chatbots in solo, groups and channels, support text-to-text, text-to-image, voice. You can set agent usage quotas and permissions using ACLs so only authorized users can access your agents. Training your agents is easy: create your agent and upload files to your bots knowledge base, auto-sync from Dropbox, Google Drive or scrape web pages.
    Starting Price: $5/month
  • 6
    R1 1776

    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
  • 7
    txtai

    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
  • 8
    LexVec

    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
  • 9
    GloVe

    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
  • 10
    Gensim

    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
  • 11
    NLTK

    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
  • 12
    Privatemode AI

    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
  • 13
    SWE-agent

    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
  • 14
    Recall

    Recall

    Microsoft

    Recall, a feature in Windows 11, allows users to retrace their steps and find content they've previously encountered on their PC. By capturing snapshots of the user’s active screen every few seconds, Recall saves a history of the content you’ve seen, including images, links, and text. The platform utilizes AI-powered semantic search, enabling users to find content by describing what they remember, such as a photo or a website. Recall is designed to keep snapshots encrypted and private, ensuring that only the user can access their information. It is available to those using Copilot+ PCs through the Windows Insider Program.
    Starting Price: Free
  • 15
    Devika

    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
  • 16
    FastAgency

    FastAgency

    FastAgency

    FastAgency is an open source framework designed to accelerate the deployment of multi-agent AI workflows from prototype to production. It provides a unified programming interface compatible with various agentic AI frameworks, enabling developers to deploy agentic workflows in both development and production settings. With features like multi-runtime support, seamless external API integration, and a command-line interface for orchestration, FastAgency simplifies the creation of scalable, production-ready architectures for serving AI workflows. Currently, it supports the AutoGen framework, with plans to extend support to CrewAI, Swarm, and LangGraph in the future. Developers can easily switch between frameworks, choosing the best one for their project's specific needs. FastAgency also features a common programming interface that enables the development of core workflows once and reuse them across various user interfaces without rewriting code.
    Starting Price: Free
  • 17
    SmolLM2

    SmolLM2

    Hugging Face

    SmolLM2 is a collection of state-of-the-art, compact language models developed for on-device applications. The models in this collection range from 1.7B parameters to smaller 360M and 135M versions, designed to perform efficiently even on less powerful hardware. These models excel in text generation tasks and are optimized for real-time, low-latency applications, providing high-quality results across various use cases, including content creation, coding assistance, and natural language processing. SmolLM2's flexibility makes it a suitable choice for developers looking to integrate powerful AI into mobile devices, edge computing, and other resource-constrained environments.
    Starting Price: Free
  • 18
    SmolVLM

    SmolVLM

    Hugging Face

    SmolVLM-Instruct is a compact, AI-powered multimodal model that combines the capabilities of vision and language processing, designed to handle tasks like image captioning, visual question answering, and multimodal storytelling. It works with both text and image inputs, providing highly efficient results while being optimized for smaller, resource-constrained environments. Built with SmolLM2 as its text decoder and SigLIP as its image encoder, the model offers improved performance for tasks that require integration of both textual and visual information. SmolVLM-Instruct can be fine-tuned for specific applications, offering businesses and developers a versatile tool for creating intelligent, interactive systems that require multimodal inputs.
    Starting Price: Free
  • 19
    QwQ-Max-Preview
    QwQ-Max-Preview is an advanced AI model built on the Qwen2.5-Max architecture, designed to excel in deep reasoning, mathematical problem-solving, coding, and agent-related tasks. This preview version offers a sneak peek at its capabilities, which include improved performance in a wide range of general-domain tasks and the ability to handle complex workflows. QwQ-Max-Preview is slated for an official open-source release under the Apache 2.0 license, offering further advancements and refinements in its full version. It also paves the way for a more accessible AI ecosystem, with the upcoming launch of the Qwen Chat app and smaller variants of the model like QwQ-32B, aimed at developers seeking local deployment options.
    Starting Price: Free
  • 20
    Voicv

    Voicv

    Voicv

    ​Voicv is a cutting-edge voice cloning platform that transforms your voice into a digital asset in minutes, supporting multiple languages and zero-shot learning. It allows users to clone any voice with just a 10-30-second audio sample, maintaining high fidelity and natural expression. It supports multiple languages, including English, Japanese, Korean, Chinese, French, German, Arabic, and Spanish. Voicv offers real-time processing, enabling fast voice generation suitable for quick iterations and production needs. It achieves professional-quality output with extremely low error rates, ensuring clear and accurate speech generation. Users can access Voicv through a web interface or desktop applications. For enterprise users, Voicv provides a production-ready API and comprehensive documentation for seamless integration.
    Starting Price: $23.99 per month
  • 21
    Fynix

    Fynix

    Fynix

    Fynix is an AI-powered platform designed to boost software development productivity through intelligent coding assistance and agent-based code reviews. It integrates directly into popular IDEs like VS Code and offers features such as context-aware autocomplete, natural language commands for code fixes and translations, and automatic code flow visualizations. Fynix’s Code Assistant helps developers write cleaner, more efficient code faster, while its upcoming Code Quality Agent will automate bug detection and enforce coding standards. With support for multiple programming languages and frameworks, and integrations with tools like Jira, Fynix is a versatile platform for improving coding efficiency and collaboration.
    Starting Price: Free
  • 22
    OWL

    OWL

    CAMEL-AI

    OWL (Optimized Workforce Learning) is an advanced framework designed for multi-agent collaboration in real-world task automation. Built on the CAMEL-AI platform, OWL aims to revolutionize AI agent interactions, enabling more efficient, natural, and resilient task automation across various industries. It achieves high performance, ranking #1 among open-source frameworks on the GAIA benchmark with a score of 58.18. OWL features real-time information sharing, dynamic task management, and integration with various tools and platforms, supporting collaborative AI agents in completing complex tasks.
    Starting Price: Free
  • 23
    LLaMA-Factory

    LLaMA-Factory

    hoshi-hiyouga

    ​LLaMA-Factory is an open source platform designed to streamline and enhance the fine-tuning process of over 100 Large Language Models (LLMs) and Vision-Language Models (VLMs). It supports various fine-tuning techniques, including Low-Rank Adaptation (LoRA), Quantized LoRA (QLoRA), and Prefix-Tuning, allowing users to customize models efficiently. It has demonstrated significant performance improvements; for instance, its LoRA tuning offers up to 3.7 times faster training speeds with better Rouge scores on advertising text generation tasks compared to traditional methods. LLaMA-Factory's architecture is designed for flexibility, supporting a wide range of model architectures and configurations. Users can easily integrate their datasets and utilize the platform's tools to achieve optimized fine-tuning results. Detailed documentation and diverse examples are provided to assist users in navigating the fine-tuning process effectively.
    Starting Price: Free
  • 24
    Wispr Flow

    Wispr Flow

    Wispr Flow

    ​Flow is the superior dictation tool that moves as fast as your thoughts. If the task requires you to use your keyboard, then Flow can do it better. Flow is simply the smoothest, smartest dictation that works as fast as you think. Flow works seamlessly in every application on your computer. Flow adapts to your speaking style and complements the way you communicate. Whether you're moderating discussions, crafting help docs, or logging changes, Flow lets you sound like you, not some robot. Flow securely processes your inputs to create a transcript. Your data is yours and will never be used for training unless you opt-in.
    Starting Price: $12 per month
  • 25
    Mistral Large 2
    Mistral AI has launched the Mistral Large 2, an advanced AI model designed to excel in code generation, multilingual capabilities, and complex reasoning tasks. The model features a 128k context window, supporting dozens of languages including English, French, Spanish, and Arabic, as well as over 80 programming languages. Mistral Large 2 is tailored for high-throughput single-node inference, making it ideal for large-context applications. Its improved performance on benchmarks like MMLU and its enhanced code generation and reasoning abilities ensure accuracy and efficiency. The model also incorporates better function calling and retrieval, supporting complex business applications.
    Starting Price: Free
  • 26
    Utterly Voice

    Utterly Voice

    Utterly Voice

    ​Utterly Voice is a highly customizable voice dictation and computer control application designed for a completely hands-free computing experience. It allows users to type text, edit content, press keyboard shortcuts, manage windows, scroll content, control the mouse, and create macros using only their voice. Compatible with Windows 10 and 11, Utterly Voice supports English language input, with plans for additional language support in the future. The application offers multiple speech recognizers and models to choose from, including Vosk, Microsoft Azure, Deepgram, Google Cloud Speech-to-Text V1, and Whisper. Users can easily type individual letters, alphanumerics, or code, and benefit from powerful customization abilities using text configuration files. Advanced mouse control methods, configurable voice commands, and control over speech recognition bias enhance the user experience.
    Starting Price: Free
  • 27
    Codespell.ai

    Codespell.ai

    Codespell.ai

    Codespell.ai is an AI-powered coding assistant that enhances code quality and productivity. Its key feature, Design Studio, automates project setup by generating structured designs and starter-kit codebases, streamlining development from concept to deployment.
    Starting Price: $15/month/user
  • 28
    MindSpore

    MindSpore

    MindSpore

    ​MindSpore is an open source deep learning framework developed by Huawei, designed to facilitate easy development, efficient execution, and deployment across cloud, edge, and device environments. It supports multiple programming paradigms, including both object-oriented and functional programming, allowing users to define AI networks using native Python syntax. MindSpore offers a unified programming experience that seamlessly integrates dynamic and static graphs, enhancing compatibility and performance. It is optimized for various hardware platforms, including CPUs, GPUs, and NPUs, and is particularly well-suited for Huawei's Ascend AI processors. MindSpore's architecture comprises four layers, the model layer, MindExpression (ME) for AI model development, MindCompiler for optimization, and the runtime layer supporting device-edge-cloud collaboration. Additionally, MindSpore provides a rich ecosystem of domain-specific toolkits and extension packages, such as MindSpore NLP.
    Starting Price: Free
  • 29
    ML.NET

    ML.NET

    Microsoft

    ML.NET is a free, open source, and cross-platform machine learning framework designed for .NET developers to build custom machine learning models using C# or F# without leaving the .NET ecosystem. It supports various machine learning tasks, including classification, regression, clustering, anomaly detection, and recommendation systems. ML.NET integrates with other popular ML frameworks like TensorFlow and ONNX, enabling additional scenarios such as image classification and object detection. It offers tools like Model Builder and the ML.NET CLI, which utilize Automated Machine Learning (AutoML) to simplify the process of building, training, and deploying high-quality models. These tools automatically explore different algorithms and settings to find the best-performing model for a given scenario.
    Starting Price: Free
  • 30
    Model Context Protocol (MCP)
    Model Context Protocol (MCP) is an open protocol designed to standardize how applications provide context to large language models (LLMs). It acts as a universal connector, similar to a USB-C port, allowing LLMs to seamlessly integrate with various data sources and tools. MCP supports a client-server architecture, enabling programs (clients) to interact with lightweight servers that expose specific capabilities. With growing pre-built integrations and flexibility to switch between LLM vendors, MCP helps users build complex workflows and AI agents while ensuring secure data management within their infrastructure.
    Starting Price: Free