Find and compare the best Artificial Intelligence software for Kotlin in 2026
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Use the comparison tool below to compare the top Artificial Intelligence software for Kotlin on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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1
Qwen3
Alibaba
FreeQwen3 is a state-of-the-art large language model designed to revolutionize the way we interact with AI. Featuring both thinking and non-thinking modes, Qwen3 allows users to customize its response style, ensuring optimal performance for both complex reasoning tasks and quick inquiries. With the ability to support 119 languages, the model is suitable for international projects. The model's hybrid training approach, which involves over 36 trillion tokens, ensures accuracy across a variety of disciplines, from coding to STEM problems. Its integration with platforms such as Hugging Face, ModelScope, and Kaggle allows for easy adoption in both research and production environments. By enhancing multilingual support and incorporating advanced AI techniques, Qwen3 is designed to push the boundaries of AI-driven applications. -
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Mistral Medium 3
Mistral AI
FreeMistral Medium 3 is an innovative AI model designed to offer high performance at a significantly lower cost, making it an attractive solution for enterprises. It integrates seamlessly with both on-premises and cloud environments, supporting hybrid deployments for more flexibility. This model stands out in professional use cases such as coding, STEM tasks, and multimodal understanding, where it achieves near-competitive results against larger, more expensive models. Additionally, Mistral Medium 3 allows businesses to deploy custom post-training and integrate it into existing systems, making it adaptable to various industry needs. With its impressive performance in coding tasks and real-world human evaluations, Mistral Medium 3 is a cost-effective solution that enables companies to implement AI into their workflows. Its enterprise-focused features, including continuous pretraining and domain-specific fine-tuning, make it a reliable tool for sectors like healthcare, financial services, and energy. -
3
Codex CLI
OpenAI
FreeCodex CLI is a powerful open-source AI tool that runs in your command line interface (CLI), offering developers an intuitive way to automate coding tasks and improve code quality. By pairing Codex CLI with your terminal, developers gain access to AI-driven code generation, debugging, and editing capabilities. It enables users to write, modify, and understand their code more efficiently with real-time suggestions, all while working directly in the terminal without switching between tools. Codex CLI supports a seamless coding experience, empowering developers to focus more on building and less on managing tedious coding processes. -
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LiteRT
Google
FreeLiteRT, previously known as TensorFlow Lite, is an advanced runtime developed by Google that provides high-performance capabilities for artificial intelligence on devices. This platform empowers developers to implement machine learning models on multiple devices and microcontrollers with ease. Supporting models from prominent frameworks like TensorFlow, PyTorch, and JAX, LiteRT converts these models into the FlatBuffers format (.tflite) for optimal inference efficiency on devices. Among its notable features are minimal latency, improved privacy by handling data locally, smaller model and binary sizes, and effective power management. The runtime also provides SDKs in various programming languages, including Java/Kotlin, Swift, Objective-C, C++, and Python, making it easier to incorporate into a wide range of applications. To enhance performance on compatible devices, LiteRT utilizes hardware acceleration through delegates such as GPU and iOS Core ML. The upcoming LiteRT Next, which is currently in its alpha phase, promises to deliver a fresh set of APIs aimed at simplifying the process of on-device hardware acceleration, thereby pushing the boundaries of mobile AI capabilities even further. With these advancements, developers can expect more seamless integration and performance improvements in their applications. -
5
GitAuto
GitAuto
$100 per monthGitAuto is an AI-driven coding assistant that seamlessly connects with GitHub (and optionally Jira) to assess backlog tickets or issues, evaluate your repository's structure and code, and autonomously create and review pull requests, usually completing this process in around three minutes per ticket. It is capable of managing bug fixes, implementing feature requests, and enhancing test coverage. You can activate it through specific issue labels or selections on a dashboard, allowing it to write code or unit tests, initiate a pull request, execute GitHub Actions, and continuously rectify any failing tests until they succeed. Supporting ten programming languages, such as Python, Go, Rust, and Java, GitAuto is free for basic use, with paid plans available for those requiring a greater volume of pull requests and additional enterprise functionalities. Adhering to a strict zero data-retention policy, it processes your code through OpenAI without retaining it. Built to speed up delivery by allowing teams to address technical debt and backlogs without the need for extensive engineering resources, GitAuto functions as an AI backend engineer that drafts, tests, and refines code, thereby significantly enhancing development efficiency. This innovative tool not only streamlines workflows but also empowers teams to focus on more strategic tasks. -
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BaseRock AI
BaseRock AI
$14.99 per monthBaseRock.ai is an innovative platform specializing in AI-enhanced software quality that streamlines both unit and integration testing, allowing developers to create and run tests straight from their favorite IDEs. Utilizing cutting-edge machine learning algorithms, it assesses codebases to produce detailed test cases that guarantee thorough code coverage and enhanced quality. By integrating effortlessly with CI/CD workflows, BaseRock.ai aids in the early identification of bugs, which can lead to a reduction in QA expenditures by as much as 80% while also increasing developer efficiency by 40%. The platform boasts features such as automated test creation, instant feedback, and compatibility with a variety of programming languages, including Java, JavaScript, TypeScript, Kotlin, Python, and Go. Additionally, BaseRock.ai provides a range of pricing options, including a complimentary tier, to suit diverse development requirements. Many top-tier companies rely on BaseRock.ai to improve software quality and speed up the delivery of new features, making it a valuable asset in the tech industry. Its commitment to continuous improvement ensures that it remains at the forefront of software testing solutions. -
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Koog
JetBrains
FreeKoog is a Kotlin-based framework designed for developing and executing AI agents using idiomatic Kotlin, catering to both simple agents that handle individual inputs and more intricate workflow agents with tailored strategies and configurations. Its architecture is built entirely in Kotlin, ensuring a smooth integration of the Model Control Protocol (MCP) for improved management of models. The framework also utilizes vector embeddings to facilitate semantic search and offers a versatile system for creating and enhancing tools that can interact with external systems and APIs. Components that are ready for immediate use tackle prevalent challenges in AI engineering, while intelligent history compression techniques are employed to optimize token consumption and maintain context. Additionally, a robust streaming API supports real-time response processing and allows for simultaneous tool invocations. Agents benefit from persistent memory, which enables them to retain knowledge across different sessions and among various agents, and detailed tracing facilities enhance the debugging and monitoring process, ensuring developers have the insights needed for effective optimization. This combination of features positions Koog as a comprehensive solution for developers looking to harness the power of AI in their applications. -
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GPT-5 mini
OpenAI
$0.25 per 1M tokensOpenAI’s GPT-5 mini is a cost-efficient, faster version of the flagship GPT-5 model, designed to handle well-defined tasks and precise inputs with high reasoning capabilities. Supporting text and image inputs, GPT-5 mini can process and generate large amounts of content thanks to its extensive 400,000-token context window and a maximum output of 128,000 tokens. This model is optimized for speed, making it ideal for developers and businesses needing quick turnaround times on natural language processing tasks while maintaining accuracy. The pricing model offers significant savings, charging $0.25 per million input tokens and $2 per million output tokens, compared to the higher costs of the full GPT-5. It supports many advanced API features such as streaming responses, function calling, and fine-tuning, while excluding audio input and image generation capabilities. GPT-5 mini is compatible with a broad range of API endpoints including chat completions, real-time responses, and embeddings, making it highly flexible. Rate limits vary by usage tier, supporting from hundreds to tens of thousands of requests per minute, ensuring reliability for different scale needs. This model strikes a balance between performance and cost, suitable for applications requiring fast, high-quality AI interaction without extensive resource use. -
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GPT-5 nano
OpenAI
$0.05 per 1M tokensOpenAI’s GPT-5 nano is the most cost-effective and rapid variant of the GPT-5 series, tailored for tasks like summarization, classification, and other well-defined language problems. Supporting both text and image inputs, GPT-5 nano can handle extensive context lengths of up to 400,000 tokens and generate detailed outputs of up to 128,000 tokens. Its emphasis on speed makes it ideal for applications that require quick, reliable AI responses without the resource demands of larger models. With highly affordable pricing — just $0.05 per million input tokens and $0.40 per million output tokens — GPT-5 nano is accessible to a wide range of developers and businesses. The model supports key API functionalities including streaming responses, function calling, structured output, and fine-tuning capabilities. While it does not support web search or audio input, it efficiently handles code interpretation, image generation, and file search tasks. Rate limits scale with usage tiers to ensure reliable access across small to enterprise deployments. GPT-5 nano offers an excellent balance of speed, affordability, and capability for lightweight AI applications. -
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Macroscope
Macroscope
$30 per monthMacroscope serves as an AI-driven analytics and visibility platform tailored for engineering and product teams, linking seamlessly with a company's codebase, commit history, issue tracking systems like Linear or Jira, and Slack to automatically produce insights regarding the development process. By employing code-walking techniques on the Abstract Syntax Tree (AST), it comprehensively evaluates changes to grasp the relationships and dependencies within the code, ultimately generating summaries for commits, pull requests (which include automated reviews and descriptions), shifts in the overall codebase, and patterns in feature development or bug resolution. Stakeholders can inquire about progress using natural language queries, such as “What did we ship last week?”, gain insights into the allocation of engineering resources, identify significant bugs with a reduced rate of false positives, and monitor productivity and status without the need to scrutinize every single difference in the code. This tool enhances the efficiency of communication among team members by centralizing information and fostering a clearer understanding of project statuses. -
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Gemini Enterprise
Google
$21 per monthGemini Enterprise app is a comprehensive agentic AI platform designed to improve productivity and collaboration across organizations. It enables users to connect various workplace tools and data sources, providing a unified environment for searching, analyzing, and generating content. The platform supports multi-step automation through AI agents that can perform tasks across different applications without manual intervention. Users can leverage prebuilt Google agents or create custom agents using a no-code interface, making AI accessible to both technical and non-technical teams. Gemini Enterprise app also offers centralized control over data access, permissions, and workflows, ensuring secure and compliant operations. It is suitable for various departments, including marketing, sales, engineering, HR, and finance. By grounding AI outputs in enterprise data, it delivers more accurate and relevant results. Overall, it helps organizations operate more efficiently and make data-driven decisions. -
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GPT-5.1-Codex
OpenAI
$1.25 per inputGPT-5.1-Codex is an advanced iteration of the GPT-5.1 model specifically designed for software development and coding tasks that require autonomy. The model excels in both interactive coding sessions and sustained, independent execution of intricate engineering projects, which include tasks like constructing applications from the ground up, enhancing features, troubleshooting, conducting extensive code refactoring, and reviewing code. It effectively utilizes various tools, seamlessly integrates into developer environments, and adjusts its reasoning capacity based on task complexity, quickly addressing simpler challenges while dedicating more resources to intricate ones. Users report that GPT-5.1-Codex generates cleaner, higher-quality code than its general counterparts, showcasing a closer alignment with developer requirements and a reduction in inaccuracies. Additionally, the model is accessible through the Responses API route instead of the conventional chat API, offering different configurations such as a “mini” version for budget-conscious users and a “max” variant that provides the most robust capabilities. Overall, this specialized version aims to enhance productivity and efficiency in software engineering practices. -
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Mesa
Mesa.dev
FreeMesa is an innovative platform that leverages artificial intelligence to enhance code review processes, enabling engineering teams to elevate software quality and confidently deploy code by addressing technical debt before it impacts production. The platform's smart agents are capable of understanding the distinct elements of a team's codebase, business logic, and development standards, allowing them to provide reviews that are contextual and precise, surpassing mere linting or generic suggestions from AI. Users have the flexibility to develop custom review agents that focus on specific issues such as security vulnerabilities, performance optimization, and domain-specific logic, while also selecting from a diverse range of foundational models from notable providers like OpenAI, Anthropic, and Google, which can be optimized for various metrics such as speed, cost-efficiency, or intelligence level. Additionally, Mesa produces comprehensive and consistent descriptions for pull requests utilizing team-defined templates, seamlessly integrating into existing CI/CD workflows, and adjusting to different branching strategies to ensure that quality checks are an integral part of daily development activities. This adaptability not only streamlines the review process but also empowers teams to maintain high standards throughout their software development lifecycle. -
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Sourcery
Sourcery
$12 per monthSourcery serves as an AI-driven automated code review tool and coding assistant that aims to enhance the quality of code, identify bugs and security vulnerabilities early on, and ensure uniform standards across various projects for developers and engineering teams. It seamlessly integrates with widely-used development platforms like GitHub, GitLab, and integrated development environments (IDEs) such as VS Code and JetBrains, offering immediate, actionable insights on pull requests and in-code edits instead of relying primarily on conventional peer review processes. By leveraging a blend of large language model capabilities and static analysis, Sourcery evaluates code diffs to provide concise summaries, detailed line-by-line recommendations, overarching feedback, and visual representations that clarify suggested modifications, striving to achieve a review standard akin to that of a fellow developer. Within the IDE, it acts as an instant pair programming assistant that highlights possible enhancements, facilitates one-click application of recommendations, and includes an AI chat feature for further support, making it a versatile tool for developers looking to refine their coding practices. Additionally, Sourcery's real-time feedback mechanism fosters a collaborative coding environment, enabling teams to work more efficiently and effectively together. -
15
Kodus
Kodus
$10 per monthKodus is a collaborative, open-source platform that harnesses AI technology for code review, featuring an intelligent agent named Kody that seamlessly integrates with popular Git workflows like GitHub, GitLab, Bitbucket, and Azure DevOps, aimed at assisting engineering teams in automating and enhancing the quality of their code assessments. By performing thorough analyses on each pull request with a deep understanding of the team’s specific codebase, architecture, workflows, coding standards, and business rules, Kody provides targeted feedback focused on quality, security, performance, and style, rather than offering vague recommendations. Teams have the option to create custom review criteria using natural language or select from a collection of pre-validated rules designed to promote best practices and maintain consistent standards; they can also utilize their own API keys to choose and implement any AI model they prefer. Additionally, Kodus transforms unaddressed suggestions into monitored issues, aids in tracking technical debt, and delivers actionable insights in a manner that minimizes distractions, while supporting more than 30 programming languages to ensure broad applicability across different projects. This comprehensive approach not only streamlines the review process but also fosters a culture of continuous improvement within development teams. -
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cubic
cubic.dev
$24 per monthCubic is an AI-driven code review solution that streamlines the analysis of pull requests on GitHub, enabling software development teams to identify bugs, maintain coding standards, and accelerate their release cycles by minimizing manual review delays. It provides immediate, context-aware feedback upon the opening of a pull request by analyzing the entire repository's history and recognized patterns, which leads to inline comments that identify bugs, coding anti-patterns, technical debt, and suggestions for enhancements that human reviewers could overlook, along with one-click fix options for straightforward issues. Additionally, Cubic can produce concise summaries of pull requests that clarify the purpose and effects of changes, intelligently organize complex differences into more manageable segments, and feature a chat interface that allows developers to pose questions or navigate the codebase directly on the platform. Teams have the capability to establish customized review protocols and incorporate business context from issue tracking systems such as Jira, Linear, or Asana, ensuring that code reviews not only assess technical quality but also align with acceptance criteria. With its innovative features, Cubic significantly enhances the efficiency of the code review process, fostering collaboration and improving overall software quality. -
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GPT-5.5 Pro
OpenAI
$30 per 1M tokens (input)GPT-5.5 Pro is a next-generation AI model built for execution-heavy tasks across coding, research, business analysis, and scientific workflows. It can interpret complex instructions, break them into steps, and carry work through to completion using tools and automation. The model supports tasks such as generating documents, building applications, analyzing datasets, and navigating software environments. It is designed to operate across tools, enabling seamless workflows from idea to output. In addition, GPT-5.5 Pro integrates with workspace agents—customizable AI agents that automate recurring and multi-step processes across teams. These agents can handle tasks like lead research, reporting, and workflow automation, running independently or on schedules. Built with enterprise-grade safeguards, the model ensures secure and controlled automation. It helps organizations improve productivity by reducing manual effort and accelerating decision-making. GPT-5.5 Pro is ideal for teams looking to scale operations and handle complex workloads efficiently. -
18
Agent Client Protocol (ACP)
Agent Client Protocol (ACP)
FreeThe Agent Client Protocol (ACP) serves to unify the communication between code editors, integrated development environments (IDEs), and coding agents, establishing agent-editor interoperability as a standard rather than necessitating unique integrations for every conceivable pairing. It establishes a common interface for interaction between AI agents and client applications, featuring a flexible, extensible, and platform-independent architecture suitable for both local and remote use cases. By tackling issues related to integration costs, limited compatibility, and developer dependency, ACP allows agents adhering to the protocol to function seamlessly with any compatible editor, while editors that embrace ACP can tap into a wider network of ACP-compatible agents. Much like the Language Server Protocol facilitated standardized language server integration, ACP separates agents from editors, enabling both to evolve independently, thereby empowering developers to select the most effective tools for their specific workflows. This innovation fosters a collaborative environment where tools can be easily integrated, enhancing overall productivity and efficiency for developers. -
19
Graphify
Graphify
FreeGraphify serves as an innovative open source knowledge graph engine that converts diverse inputs such as code, documentation, research papers, meetings, images, browser tabs, and commits into a single, navigable graph with full recall capabilities. Designed to function as a persistent memory for AI coding assistants, it empowers tools like Claude Code, Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, Aider, Factory Droid, Kimi Code, Kiro, Pi, and Google Antigravity with a queryable grasp of a project, thereby eliminating the need for them to continuously search through files. Users can direct Graphify to any directory, where it generates an initial corpus through AST extraction, semantic analysis, and Leiden clustering, effectively converting an entire codebase or document collection into a comprehensive graph in a single operation. Unlike traditional RAG pipelines that require re-embedding for every modification, Graphify sustains a dynamic graph that only updates the affected nodes and edges when files are altered, allowing the remainder of the corpus to remain stable even at an enterprise scale. This capability not only enhances efficiency but also facilitates seamless collaboration among various AI tools, significantly improving the overall workflow for developers and researchers alike. -
20
Eclipse Theia
Eclipse Foundation
$0Eclipse Theia allows you to create multi-language Cloud & Desktop IDEs using state-of-the art web technologies. Are you unsure whether you need a desktop or web version? Theia allows you to create one IDE and have it run in browsers or native desktop applications from a single source. The Eclipse Foundation hosts the Theia project. It is a non-profit corporation and is developed by a diverse group. Projects hosted at an Open-Source Foundation, unlike other open-source projects, are protected from single-vendor decisions that would be detrimental to the interests of the diverse community. Theia is modularly designed to allow users and extenders to customize and extend every aspect of the system. It is easy to create a custom IDE-like product by simply listing all required extensions in a package.json. It is simple to add new functionality by implementing your extensions. This gives you all the flexibility that you need. -
21
Alan AI
Alan AI
Alan Studio is an intuitive yet robust integrated development environment designed specifically for the complexities of voice interface creation. Users can write and evaluate conversational scenarios, manage various dialog versions, and seamlessly publish outcomes either to a sandbox or a live environment. Focus on the larger vision of your project while Alan manages essential tasks in the background. The platform captures critical metrics, including user utterances, usage frequency, and session duration, enabling you to analyze how users engage with the voice assistant in your application. Utilize these insights to comprehend user behaviors and pathways, detect overlooked voice commands, and enhance the overall efficiency of your voice assistant. Alan also takes care of the necessary infrastructure to scale, strategize, and oversee voice deployments effectively. To get started with Alan, simply integrate a lightweight client SDK into your application. Additionally, you can develop a chatbot for your app to address common user inquiries, manage routine requests, or maintain engaging, human-like interactions with your clientele, ensuring a comprehensive user experience. This approach not only improves customer satisfaction but can also drive greater engagement with your app. -
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JetBrains Fleet
JetBrains
Developed entirely from the ground up, JetBrains Fleet draws on two decades of experience in creating integrated development environments (IDEs). It utilizes the robust IntelliJ code-processing engine, featuring a distributed architecture and a fresh user interface designed for modern developers. Our aim with Fleet was to create a swift and efficient text editor that allows for quick code browsing and editing. It launches almost instantaneously, enabling you to start your work without delay, and has the capability to seamlessly evolve into a full-fledged IDE, with the IntelliJ engine operating independently from the editing interface. Fleet encompasses all the beloved features of IntelliJ-based IDEs, such as code completion tailored to your project context, easy navigation to definitions and usages, real-time code quality assessments, and convenient quick-fixes. The architecture of Fleet is thoughtfully designed to accommodate various configurations and workflows, allowing it to run locally on your machine or to offload some processes to the cloud, showcasing its versatility and adaptability for different development needs. This flexibility ensures that developers can choose the setup that best fits their workflow requirements. -
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Cleanup.pictures
Cleanup.pictures
$3 per monthEasily upload images of your products right onto the platform to generate eye-catching visuals. This allows you to capture the perfect product shot and swiftly refresh your social media presence, complete with amazing visuals for your Instagram stories. The tool known as cleanup.pictures enables you to eliminate unwanted individuals from a photo in mere seconds, and it does so at no cost. There's no requirement for complicated software like Adobe Photoshop. With cleanup.pictures, you can obtain professional-quality results with just a few clicks. Unlike the clone tool in Adobe Photoshop Fix, which necessitates a background reference, our AI intelligently infers what should be behind the undesired text, people, and objects, making the editing process seamless and efficient. This innovative approach not only saves time but also enhances the overall quality of your images. -
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CodePal
CodePal.ai
$15 per monthCodePal serves as the ultimate companion for coders, providing a well-rounded platform filled with various coding aids and utilities designed to support developers of all skill levels. This resource is particularly beneficial for students, novices, seasoned programmers, and organizations seeking to enhance their development workflows. While the free tier allows users to access a wide array of tools and helpers, there are certain limitations, making it an excellent choice for enthusiasts eager to explore what CodePal has to offer. AI code generators can perform numerous functions, including programming, transforming, and manipulating code, thereby becoming invaluable for those in the learning phase as they illustrate how specific tasks should be implemented in code form. These generators are adaptable to a multitude of programming languages such as Java, C#, Python, and TypeScript, among others. Ultimately, the selection of a programming language often hinges on the unique requirements of the project and the availability of suitable code generation tools and frameworks tailored to that particular language. Additionally, using AI code generators can significantly accelerate the development process, allowing developers to focus on more complex aspects of their projects. -
25
GPT-5
OpenAI
$1.25 per 1M tokensOpenAI’s GPT-5 represents the cutting edge in AI language models, designed to be smarter, faster, and more reliable across diverse applications such as legal analysis, scientific research, and financial modeling. This flagship model incorporates built-in “thinking” to deliver accurate, professional, and nuanced responses that help users solve complex problems. With a massive context window and high token output limits, GPT-5 supports extensive conversations and intricate coding tasks with minimal prompting. It introduces advanced features like the verbosity parameter, enabling users to control the detail and tone of generated content. GPT-5 also integrates seamlessly with enterprise data sources like Google Drive and SharePoint, enhancing response relevance with company-specific knowledge while ensuring data privacy. The model’s improved personality and steerability make it adaptable for a wide range of business needs. Available in ChatGPT and API platforms, GPT-5 brings expert intelligence to every user, from casual individuals to large organizations. Its release marks a major step forward in AI-assisted productivity and collaboration.
