Best Artificial Intelligence Software for Python - Page 6
View:
Compare the Top Artificial Intelligence Software that integrates with Python as of November 2026 - Page 6
Sort By:
This a list of Artificial Intelligence software that integrates with Python. Use the filters on the left to add additional filters for products that have integrations with Python. View the products that work with Python in the table below.
-
1
OpenAI o1
OpenAI
OpenAI o1 represents a new series of AI models designed by OpenAI, focusing on enhanced reasoning capabilities. These models, including o1-preview and o1-mini, are trained using a novel reinforcement learning approach to spend more time "thinking" through problems before providing answers. This approach allows o1 to excel in complex problem-solving tasks in areas like coding, mathematics, and science, outperforming previous models like GPT-4o in certain benchmarks. The o1 series aims to tackle challenges that require deeper thought processes, marking a significant step towards AI systems that can reason more like humans, although it's still in the preview stage with ongoing improvements and evaluations. -
2
OpenAI o1-mini
OpenAI
OpenAI o1-mini is a new, cost-effective AI model designed for enhanced reasoning, particularly excelling in STEM fields like mathematics and coding. It's part of the o1 series, which focuses on solving complex problems by spending more time "thinking" through solutions. Despite being smaller and 80% cheaper than its sibling, the o1-preview, o1-mini performs competitively in coding tasks and mathematical reasoning, making it an accessible option for developers and enterprises looking for efficient AI solutions. -
3
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 -
4
Gemini-Exp-1206
Google
Gemini-Exp-1206 is an experimental AI model now available for preview to Gemini Advanced subscribers. This model significantly enhances performance in complex tasks such as coding, mathematics, reasoning, and following detailed instructions. It's designed to assist users in navigating intricate challenges with greater ease. As an early preview, some features may not function as expected, and it currently lacks access to real-time information. Users can access Gemini-Exp-1206 through the Gemini model drop-down on desktop and mobile web platforms. -
5
Grok 4
SpaceXSI
Grok 4 is the latest AI model from Elon Musk’s xAI, marking a significant advancement in AI reasoning and natural language understanding. Developed on the Colossus supercomputer, Grok 4 supports multimodal inputs including text and images, with plans to add video capabilities soon. It features enhanced precision in language tasks and has demonstrated superior performance in scientific reasoning and visual problem-solving compared to other leading AI models. Designed for developers, researchers, and technical users, Grok 4 offers powerful tools for complex tasks. The model incorporates improved moderation to address previous concerns about biased or problematic outputs. Grok 4 represents a major leap forward in AI’s ability to understand and generate human-like responses. -
6
Grok 4.1 Fast
SpaceXSI
Grok 4.1 Fast is an xAI model designed to deliver advanced tool-calling capabilities with a massive 2-million-token context window. It excels at complex real-world tasks such as customer support, finance, troubleshooting, and dynamic agent workflows. The model pairs seamlessly with the new Agent Tools API, which enables real-time web search, X search, file retrieval, and secure code execution. This combination gives developers the power to build fully autonomous, production-grade agents that plan, reason, and use tools effectively. Grok 4.1 Fast is trained with long-horizon reinforcement learning, ensuring stable multi-turn accuracy even across extremely long prompts. With its speed, cost-efficiency, and high benchmark scores, it sets a new standard for scalable enterprise-grade AI agents. -
7
Claude Opus 4.6
Anthropic
Claude Opus 4.6 is an advanced AI model developed by Anthropic, designed for high-level reasoning, coding, and knowledge work tasks. It introduces significant improvements in coding, debugging, and code review capabilities. The model can handle long, complex workflows and sustain agentic tasks with greater reliability. It features a 1 million token context window in beta, enabling it to process and retain large amounts of information. Claude Opus 4.6 is optimized for tasks such as financial analysis, research, and document creation. It also integrates with tools like Excel and PowerPoint for enhanced productivity. Overall, it is a state-of-the-art AI model built for complex, real-world professional applications. -
8
Qwen3.8-27B
Alibaba
Qwen3.8-27B is a compact open-weights model in Alibaba’s Qwen3.8 family, aimed at developers and researchers who want strong local AI performance without using the full Max-scale model. Reports from Alibaba’s Qwen3.8 launch state that Qwen3.8-27B was planned for open-weight release alongside Qwen3.8-Max, expanding access for builders working on AI applications. The model is positioned for coding, research, professional workflows, and local deployment scenarios where a 27B model can be more practical than frontier-scale systems. Qwen3.8’s broader launch emphasizes software development, document processing, data analysis, and professional “cowork” use cases. Qwen3.8-27B is especially relevant for teams that need a capable open model for experimentation, coding agents, assistant workflows, and self-hosted inference. Built for practical deployment, Qwen3.8-27B gives developers a smaller Qwen3.8 option for building AI tools, testing agents, and running advanced language model workflows. -
9
Gemini 3.8 Flash
Google
Gemini 3.8 Flash is Google’s most intelligent Flash workhorse model, delivering significant improvements over 3.7 Flash across software engineering, agentic tasks, and critical multi-step reasoning in specialized domains. Built for long-horizon coding and autonomous agents, it can solve complex engineering problems end to end and delivers the dependability required for critical enterprise autonomy across specialized knowledge domains. The model shows stronger performance in quantitative and professional fields that require advanced analysis and reporting, as well as multi-step reasoning across STEM, humanities, and professional subjects. Its gains stem from a core design choice: Gemini 3.8 Flash works harder on complex tasks, executing additional reasoning steps and calling tools iteratively to maximize performance. At higher effort levels, it may use more tokens to pursue stronger results, while developers can select lower effort levels. -
10
Programming Helper
Programming Helper
Generate a function just by describing what is needs to do. Choose of many programming languages. More than just a code generator. A tool that helps you with a wide range of tasks. Generate a class just by describing what is needs to do. Choose of many programming languages. To spot a missing character somewhere can be frustrating. This feature will help you to fix it. -
11
Gemini Pro
Google
Gemini Pro is a powerful multimodal AI model developed by Google as part of the broader Gemini family of large language models. It is designed to handle a wide range of tasks, including text generation, reasoning, coding, and data analysis. The model can process multiple types of input such as text, images, audio, and video, making it highly versatile for real-world applications. Gemini Pro is optimized for delivering accurate, context-aware responses across complex workflows. It integrates seamlessly with Google products and cloud services, enabling scalable AI-powered applications. The model is commonly used for tasks like content creation, summarization, and conversational AI. It balances performance and efficiency, making it suitable for both developers and enterprise users. Overall, it serves as a robust foundation for building intelligent AI-driven solutions. -
12
Gemini 2.0 Flash
Google
The Gemini 2.0 Flash AI model represents the next generation of high-speed, intelligent computing, designed to set new benchmarks in real-time language processing and decision-making. Building on the robust foundation of its predecessor, it incorporates enhanced neural architecture and breakthrough advancements in optimization, enabling even faster and more accurate responses. Gemini 2.0 Flash is designed for applications requiring instantaneous processing and adaptability, such as live virtual assistants, automated trading systems, and real-time analytics. Its lightweight, efficient design ensures seamless deployment across cloud, edge, and hybrid environments, while its improved contextual understanding and multitasking capabilities make it a versatile tool for tackling complex, dynamic workflows with precision and speed. -
13
GPT-5.1 Pro
OpenAI
GPT-5.1 Pro is the highest-performance version of the GPT-5.1 model family, designed for research-grade reasoning and advanced analytical workloads. It delivers deeper, more structured thinking, making it ideal for complex problem-solving across coding, science, finance, law, and technical research. Unlike the Instant and Thinking versions, GPT-5.1 Pro is built to maintain accuracy under heavy cognitive load, producing clearer logic and more reliable multi-step reasoning. Pro users also gain access to extended context windows, allowing significantly longer inputs and deeper information processing. While it supports the full range of ChatGPT features, GPT-5.1 Pro is optimized for precision, rigor, and high-stakes tasks. It is available exclusively to ChatGPT Pro and Business customers. -
14
Claude Sonnet 4.6
Anthropic
Claude Sonnet 4.6 is Anthropic’s most advanced Sonnet model to date, delivering significant upgrades across coding, computer use, long-context reasoning, agent planning, and knowledge work. It introduces a 1 million token context window in beta, allowing users to analyze entire codebases, lengthy contracts, or large research collections in a single session. The model demonstrates major improvements in instruction following, consistency, and reduced hallucinations compared to previous Sonnet versions. In developer testing, users strongly preferred Sonnet 4.6 over Sonnet 4.5 and even favored it over Opus 4.5 in many coding scenarios. Its enhanced computer-use capabilities enable it to interact with real software interfaces similarly to a human, improving automation for legacy systems without APIs. Sonnet 4.6 also performs strongly on major benchmarks, approaching Opus-level intelligence at a more accessible price point. -
15
Grok 4.3
SpaceXSI
Grok 4.3 is the latest iteration of xAI’s Grok model, designed to deliver improved reasoning, real-time information access, and advanced task automation. It builds on earlier Grok 4 models by enhancing performance in complex problem-solving, coding, and analytical workflows. The model is integrated with real-time web and X (formerly Twitter) data, allowing it to provide up-to-date insights and answers. Grok 4.3 supports multimodal capabilities, enabling it to work with text, images, and other data types. It operates within the SuperGrok Heavy tier, offering access to more powerful compute and advanced features. The model is designed to handle long-context tasks and multi-step reasoning with greater accuracy. It also supports tool use and integrations, enabling it to interact with external systems and automate workflows. Overall, Grok 4.3 is positioned as a high-performance AI assistant for real-time, data-driven tasks. -
16
Gemini 1.5 Pro
Google
The Gemini 1.5 Pro AI model is a state-of-the-art language model designed to deliver highly accurate, context-aware, and human-like responses across a variety of applications. Built with cutting-edge neural architecture, it excels in natural language understanding, generation, and reasoning tasks. The model is fine-tuned for versatility, supporting tasks like content creation, code generation, data analysis, and complex problem-solving. Its advanced algorithms ensure nuanced comprehension, enabling it to adapt to different domains and conversational styles seamlessly. With a focus on scalability and efficiency, the Gemini 1.5 Pro is optimized for both small-scale implementations and enterprise-level integrations, making it a powerful tool for enhancing productivity and innovation. -
17
Gemini 1.5 Flash
Google
The Gemini 1.5 Flash AI model is an advanced, high-speed language model engineered for lightning-fast processing and real-time responsiveness. Designed to excel in dynamic and time-sensitive applications, it combines streamlined neural architecture with cutting-edge optimization techniques to deliver exceptional performance without compromising on accuracy. Gemini 1.5 Flash is tailored for scenarios requiring rapid data processing, instant decision-making, and seamless multitasking, making it ideal for chatbots, customer support systems, and interactive applications. Its lightweight yet powerful design ensures it can be deployed efficiently across a range of platforms, from cloud-based environments to edge devices, enabling businesses to scale their operations with unmatched agility. -
18
Replit
Replit
Replit is an AI-powered cloud development platform that enables users to build, test, collaborate on, and deploy software applications directly from a web browser. The platform combines an integrated development environment with autonomous AI coding agents that generate applications, write code, debug errors, and implement features using natural language instructions. Its development capabilities support websites, mobile applications, internal business tools, dashboards, AI agents, and full-stack software projects. Replit includes built-in databases, user authentication, application hosting, monitoring, and integrations with third-party services such as Stripe, OpenAI, and Google Workspace. Its visual design canvas and real-time collaboration features allow developers, designers, and business teams to create prototypes and work together on application development.Starting Price: $20 per month -
19
{CodeWhizz}
{CodeWhizz}
The AI-Powered Python and JavaScript Generator/Debugger/Tutor. Become a pro-coder in seconds. Generate pro-level code in an instant. Type what you need, run the program, and boom! The Whizzy AI model will compute your request and generate your code in an editable code window, so you can touch it up and personalize it however you need. Don't hassle with clunky and slow IDE's, the integrated CodeEngine will run your Python code and generate outputs, and plots, seamlessly. The ScriptRepo allows you to save your favorite creations with ease. We'll keep them secure so your can come back to them anytime. Limited availability. Request access now and secure your own personalized AI-Powered Python Code generation tool.Starting Price: $37.50 per month -
20
CodeScene
CodeScene
CodeScene is a code analysis, visualization, and reporting tool. Cross reference contextual factors such as code quality, team dynamics, and delivery output to get actionable insights to effectively reduce technical debt and deliver better code quality. We enable software development teams to make confident, data-driven decisions that fuel performance and developer productivity. Supporting 28+ programming languages, CodeScene also offers an automated integration with GitHub, BitBucket, Azure DevOps or GitLab pull requests to incorporate the analysis results into existing delivery workflows. Automate your code reviews, get early warnings and recommendations about complex code before merging it to the main branch and set quality gates to trigger in case your code health declines.Starting Price: €18 per active author/month -
21
Ximilar
Ximilar
Ximilar is the first MLaaS platform for training and fine-tuning vision-language models without coding, enabling multimodal AI without in-house research teams. Build and train custom models on your own image and text data, then deploy via a single API click. Chain multiple models into automated workflows using Flows. Key capabilities: — Vision-language model fine-tuning on custom datasets — Image classification, annotation, and object detection — Visual search handling thousands of queries per second — Text-to-image search using natural language queries — Automated tagging and product description generation — OCR and text extraction from images — Fashion AI for apparel tagging and visual search — Defect detection for manufacturing and quality control — Classification, grading, and pricing of collectible items Built on Intel Xeon® with TensorFlow and OpenVINO. Deploy via API or offline. GDPR-compliant, EU servers. 15B+ images processed. Clients in 40+ countries.Starting Price: $0 -
22
Ray
Anyscale
Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.Starting Price: Free -
23
Nyckel
Nyckel
Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complex “we-do-it-all” AI/ML tools is hard. Especially if you’re not a machine learning expert. That’s why Nyckel built a platform that makes image and text classification easy for everyone. In just a few minutes, you can train an AI model to identify attributes of any image or text. Whether you’re sorting through images, moderating text, or needing real-time content labeling, Nyckel lets you build a custom classifier in just 5 minutes. And with our Classification API, you can auto-label at scale. Nyckel’s goal is to make AI-powered classification a practical tool for anyone. Learn more at Nyckel.com.Starting Price: Free -
24
Mage
Mage
Mage is a tool that transforms your data into predictions. Build, train, and deploy predictive models in minutes. No AI experience required. Increase user engagement by ranking content on your user’s home feed. Increase conversion by showing the most relevant products for a user to buy. Increase retention by predicting which users will stop using your app. Increase conversion by matching users in a marketplace. Data is the most important part in building AI. Mage will guide you through this process with suggestions on how to improve your data, making you an AI expert. AI and its predictions are difficult to understand. Mage explains every metric in-depth, teaching you how your AI model thinks. Get real-time predictions with a few lines of code. Mage makes it easy for you to integrate your AI model in any application.Starting Price: Free -
25
SuperAGI SuperCoder
SuperAGI
SuperAGI SuperCoder is an open-source autonomous system that combines AI-native dev platform & AI agents to enable fully autonomous software development starting with python language & frameworks SuperCoder 2.0 leverages LLMs & Large Action Model (LAM) fine-tuned for python code generation leading to one shot or few shot python functional coding with significantly higher accuracy across SWE-bench & Codebench As an autonomous system, SuperCoder 2.0 combines software guardrails specific to development framework starting with Flask & Django with SuperAGI’s Generally Intelligent Developer Agents to deliver complex real world software systems SuperCoder 2.0 deeply integrates with existing developer stack such as Jira, Github or Gitlab, Jenkins, CSPs and QA solutions such as BrowserStack /Selenium Clouds to ensure a seamless software development experienceStarting Price: Free -
26
Ujeebu
Ujeebu
Ujeebu is a web data API for developers, data teams and AI builders. One API key and one credit pool cover every endpoint. - Web scraping API: headless Chrome rendering, rotating datacenter, premium and residential proxies, anti-bot and CAPTCHA handling. HTML, text, screenshot or PDF output. - Google SERP API: organic, news, images, videos, places and AI Mode results as JSON. - ChatGPT and Gemini answer capture with citations, as JSON. - Markdown for LLMs and article extraction. - Hosted MCP server for Claude, Cursor and other agents. You only pay for successful requests: blocked requests, timeouts and server errors are free. Plans start at $49 a month for 300,000 credits, up to $999 for 15 million; yearly billing saves 10%. 7-day trial with 5,000 credits, no credit card. SDKs for Python, Node.js and Go, plus Scrapy, LangChain and n8n integrations.Starting Price: $49 per month -
27
Qwen-7B
Alibaba
Qwen-7B is the 7B-parameter version of the large language model series, Qwen (abbr. Tongyi Qianwen), proposed by Alibaba Cloud. Qwen-7B is a Transformer-based large language model, which is pretrained on a large volume of data, including web texts, books, codes, etc. Additionally, based on the pretrained Qwen-7B, we release Qwen-7B-Chat, a large-model-based AI assistant, which is trained with alignment techniques. The features of the Qwen-7B series include: Trained with high-quality pretraining data. We have pretrained Qwen-7B on a self-constructed large-scale high-quality dataset of over 2.2 trillion tokens. The dataset includes plain texts and codes, and it covers a wide range of domains, including general domain data and professional domain data. Strong performance. In comparison with the models of the similar model size, we outperform the competitors on a series of benchmark datasets, which evaluates natural language understanding, mathematics, coding, etc. And more.Starting Price: Free -
28
Zerve AI
Zerve AI
Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists, business users and teams alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear. Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses. Agents assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax. Zerve can be used as SaaS, self-hosted, or even on-premise for highly regulated environments. Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others.Starting Price: $0 -
29
Zed
Zed Industries
Zed is a next-generation code editor designed for high-performance collaboration with humans and AI. Written from scratch in Rust to efficiently leverage multiple CPU cores and your GPU. Integrate upcoming LLMs into your workflow to generate, transform, and analyze code. Chat with teammates, write notes together, and share your screen and project. Multibuffers compose excerpts from across the codebase in one editable surface. Evaluate code inline via Jupyter runtimes and collaboratively edit notebooks. Support for many languages via Tree-sitter, WebAssembly, and the Language Server Protocol. Fast native terminal tightly integrates with Zed's language-aware task runner and AI capabilities. First-class modal editing via Vim bindings, including features like text objects and marks. Zed is built by a global community of thousands of developers. Boost your Zed experience by choosing from hundreds of extensions that broaden language support, offer different themes, and more.Starting Price: Free -
30
Qwen2.5
Alibaba
Qwen2.5 is an advanced multimodal AI model designed to provide highly accurate and context-aware responses across a wide range of applications. It builds on the capabilities of its predecessors, integrating cutting-edge natural language understanding with enhanced reasoning, creativity, and multimodal processing. Qwen2.5 can seamlessly analyze and generate text, interpret images, and interact with complex data to deliver precise solutions in real time. Optimized for adaptability, it excels in personalized assistance, data analysis, creative content generation, and academic research, making it a versatile tool for professionals and everyday users alike. Its user-centric design emphasizes transparency, efficiency, and alignment with ethical AI practices.Starting Price: Free
