Business Software for OpenRouter

Claude Code is a developer-focused AI tool built to actively assist with real-world coding tasks inside the tools engineers already use. Instead of only completing lines of code, it understands full features, repositories, and workflows. Developers can run Claude Code from their terminal, IDE, Slack, or browser to ask questions, make changes, or debug issues. It automatically explores codebases to provide context-aware explanations and recommendations. This makes onboarding to new projects significantly faster and less error-prone. Claude Code can refactor large sections of code, run tests, and help resolve issues without jumping between platforms. It supports integrations with GitHub, GitLab, and common CLI utilities for end-to-end development workflows. Teams can use it to turn issues into pull requests with minimal manual effort. Claude Code is included in Anthropic’s Pro and Max plans with varying usage limits. Overall, it helps developers focus more on decision-making and less on repetitive implementation work.

Kilo Code enables developers to accelerate their engineering workflows using an advanced, fully open-source coding agent built for real-world productivity. It provides specialized modes for planning, coding, debugging, orchestrating tasks, and answering technical questions without altering the existing codebase. The platform automatically detects errors, runs tests, and fixes failures, reducing the frustration of AI-generated mistakes. With its MCP marketplace and tools like Context7, Kilo grounds its output in accurate documentation to eliminate hallucinations. Developers benefit from seamless installation across major IDEs, terminals, and JetBrains environments, making it easy to integrate into existing workflows. The system supports multiple AI agents running in parallel, drastically increasing speed when tackling complex problems. Kilo also offers transparent model usage, open-source governance, and compatibility with more than 60 providers at honest, list-rate pricing. With hundreds of thousands of developers adopting it—many migrating from Cursor—Kilo has become a leading platform for agentic engineering.

Hermes Agent by Nous Research is an open-source autonomous AI system designed to function as a persistent, self-improving digital assistant. Unlike traditional AI tools, it runs locally on your server, allowing it to retain memory and learn from ongoing interactions over time. The agent integrates with multiple communication platforms, including Slack, Discord, Telegram, and WhatsApp, enabling seamless cross-platform usage. Hermes supports automation through natural language scheduling, allowing users to set up recurring tasks such as reports, backups, and updates. It can execute complex workflows by delegating tasks to subagents that operate in parallel environments. The platform includes advanced capabilities like web browsing, search, code execution, and multimedia processing. It also offers secure sandboxing options across multiple environments, including Docker and local systems. Hermes can be configured to use different AI models or APIs, giving users flexibility in deployment. Its command-line interface provides a powerful and customizable interaction experience. Overall, Hermes Agent delivers a scalable, adaptable, and intelligent solution for automation and task management.

Pi is a streamlined terminal coding environment designed to seamlessly integrate with developer workflows rather than requiring developers to conform to its structure. It comes equipped with robust default settings while maintaining a compact size and extensive customization options, allowing users to enhance Pi through various extensions, skills, prompt templates, themes, and shareable packages sourced from npm or git. When a team requires a specific command, tool, provider, workflow, or UI modification, they can simply instruct Pi to create it, make adjustments on the fly, reload, and continue their work without interruption. Pi is versatile, offering support for interactive, print/JSON, RPC, and SDK modes, which enables it to function as a comprehensive terminal UI, a scriptable command interface, a JSON event stream, or an easily embeddable agent harness. It is compatible with over 15 providers and numerous models, including options like Anthropic, OpenAI, Google, Azure, Bedrock, Mistral, Groq, Cerebras, xAI, Hugging Face, Kimi For Coding, MiniMax, OpenRouter, Ollama, and other services, facilitating mid-session model switching to enhance flexibility and user experience. This adaptability makes Pi an invaluable tool for developers looking to tailor their coding environment to meet their specific needs.

Grok Build 0.1 is xAI’s purpose-built coding model created to support advanced software engineering and AI-driven development workflows. Unlike general-purpose language models, it focuses on agentic coding tasks where AI systems must plan, execute, and refine multiple steps to complete a project. The model can analyze both text and visual inputs, allowing it to work with source code, screenshots, technical diagrams, and project documentation. Developers can use it for activities such as debugging, code generation, refactoring, testing, and workflow automation. Grok Build 0.1 offers native support for tool calling and structured outputs, making it easier to integrate into development environments and automated systems. Its large 256K-token context window enables the model to understand extensive repositories and long development sessions without losing context. The platform is designed to work efficiently with coding agents that need to reason through problems rather than simply respond to prompts. xAI positions the model as a successor to earlier coding-focused Grok variants, with stronger support for agent-driven development processes. Grok Build 0.1 helps engineering teams accelerate software delivery while maintaining context across large and complex projects.

Google AI Plus is a premium AI subscription plan from Google that gives users expanded access to Gemini-powered productivity, creativity, research, and automation tools across Google’s ecosystem. The subscription includes higher usage limits for the Gemini app along with access to advanced features such as video generation, Daily Brief, AI-powered research tools, and enhanced creative workflows powered by Google’s latest AI models. Users gain access to Google Flow, an AI creative studio that allows them to generate cinematic scenes, stories, and visual content using Gemini Omni Flash and customizable AI tools. The plan also integrates Gemini directly into Google applications including Gmail, Docs, Vids, and Chrome, helping users streamline writing, organization, brainstorming, browsing, and productivity tasks across everyday workflows. Google AI Plus includes enhanced NotebookLM functionality that provides advanced research assistance, audio overviews, notebook management, and writing support powered by AI. Subscribers additionally receive 200 GB of cloud storage across Google Drive, Gmail, and Google Photos, allowing users to store and manage files, media, and AI-generated content in one connected environment. The subscription is designed for individuals seeking more powerful AI-assisted experiences for creative projects, research, productivity, communication, and digital organization without requiring enterprise-level tools or infrastructure. Google AI Plus also provides increased access to AI-powered search capabilities and experimental features that continue expanding as Google introduces new Gemini technologies and AI services.

A compact model that excels in textual understanding and multimodal reasoning capabilities. The GPT-4o mini is designed to handle a wide array of tasks efficiently, thanks to its low cost and minimal latency, making it ideal for applications that require chaining or parallelizing multiple model calls, such as invoking several APIs simultaneously, processing extensive context like entire codebases or conversation histories, and providing swift, real-time text interactions for customer support chatbots. Currently, the API for GPT-4o mini accommodates both text and visual inputs, with plans to introduce support for text, images, videos, and audio in future updates. This model boasts an impressive context window of 128K tokens and can generate up to 16K output tokens per request, while its knowledge base is current as of October 2023. Additionally, the enhanced tokenizer shared with GPT-4o has made it more efficient in processing non-English text, further broadening its usability for diverse applications. As a result, GPT-4o mini stands out as a versatile tool for developers and businesses alike.

Gemini 2.0 represents a cutting-edge AI model created by Google, aimed at delivering revolutionary advancements in natural language comprehension, reasoning abilities, and multimodal communication. This new version builds upon the achievements of its earlier model by combining extensive language processing with superior problem-solving and decision-making skills, allowing it to interpret and produce human-like responses with enhanced precision and subtlety. In contrast to conventional AI systems, Gemini 2.0 is designed to simultaneously manage diverse data formats, such as text, images, and code, rendering it an adaptable asset for sectors like research, business, education, and the arts. Key enhancements in this model include improved contextual awareness, minimized bias, and a streamlined architecture that guarantees quicker and more consistent results. As a significant leap forward in the AI landscape, Gemini 2.0 is set to redefine the nature of human-computer interactions, paving the way for even more sophisticated applications in the future. Its innovative features not only enhance user experience but also facilitate more complex and dynamic engagements across various fields.

xAI’s Grok 4 represents a major step forward in AI technology, delivering advanced reasoning, multimodal understanding, and improved natural language capabilities. Built on the powerful Colossus supercomputer, Grok 4 can process text and images, with video input support expected soon, enhancing its ability to interpret cultural and contextual content such as memes. It has outperformed many competitors in benchmark tests for scientific and visual reasoning, establishing itself as a top-tier model. Focused on technical users, researchers, and developers, Grok 4 is tailored to meet the demands of advanced AI applications. xAI has strengthened moderation systems to prevent inappropriate outputs and promote ethical AI use. This release signals xAI’s commitment to innovation and responsible AI deployment. Grok 4 sets a new standard in AI performance and versatility. It is poised to support cutting-edge research and complex problem-solving across various fields.

Grok 4.1 Fast represents xAI’s leap forward in building highly capable agents that rely heavily on tool calling, long-context reasoning, and real-time information retrieval. It supports a robust 2-million-token window, enabling long-form planning, deep research, and multi-step workflows without degradation. Through extensive RL training and exposure to diverse tool ecosystems, the model performs exceptionally well on demanding benchmarks like τ²-bench Telecom. When paired with the Agent Tools API, it can autonomously browse the web, search X posts, execute Python code, and retrieve documents, eliminating the need for developers to manage external infrastructure. It is engineered to maintain intelligence across multi-turn conversations, making it ideal for enterprise tasks that require continuous context. Its benchmark accuracy on tool-calling and function-calling tasks clearly surpasses competing models in speed, cost, and reliability. Developers can leverage these strengths to build agents that automate customer support, perform real-time analysis, and execute complex domain-specific tasks. With its performance, low pricing, and availability on platforms like OpenRouter, Grok 4.1 Fast stands out as a production-ready solution for next-generation AI systems.

Nano Banana Pro builds on the momentum of its predecessor by introducing a new level of precision, realism, and creative control to image generation. Powered by Gemini 3 Pro, the model taps into deep reasoning and broad world knowledge to help users produce concept art, infographics, mockups, storyboards, and richly detailed visual explanations. One of its standout capabilities is its ability to generate sharp, readable text across multiple languages directly within the image, allowing creators to design posters, subtitles, and branding assets with accuracy. Through integration with Google Search, it can pull real-time facts and convert them into visual snapshots—such as recipe steps, plant profiles, or weather charts. Nano Banana Pro also excels at complex compositions, maintaining consistency across multiple characters, objects, and perspectives while blending as many as 14 inputs into a single coherent scene. Its editing tools provide fine-grained control over lighting, color grading, focus, shadows, and camera framing, giving artists the flexibility to shape any aesthetic. Users can convert sketches into finished products, combine disparate images into cinematic layouts, or modify environments from day to night with impressive fidelity. With broad availability across Gemini apps, Workspace, Ads, Vertex AI, and creative tools, Nano Banana Pro makes high-end imaging accessible to everyday users, professionals, and enterprises alike.

Gemini Pro is an advanced artificial intelligence model from Google that is built to support a wide variety of tasks, including natural language processing, coding, and analytical reasoning. As part of the Gemini model family, it delivers strong performance and flexibility for both enterprise and developer use cases. The model is multimodal, meaning it can understand and process inputs such as text, images, audio, and video within a single system. It is designed to generate accurate, context-rich responses and handle complex, multi-step workflows efficiently. Gemini Pro integrates directly with Google Cloud and other Google services, enabling seamless deployment of AI-powered applications. It is widely used for applications like chatbots, automation, content generation, and research tasks. The model also supports large context windows, allowing it to analyze extensive datasets and documents. Its performance is optimized for both speed and depth, depending on the use case. Developers can leverage it to build scalable and intelligent solutions across industries. Overall, Gemini Pro acts as a dependable, high-performance AI model for modern digital workflows.

The Gemini 2.0 Flash AI model signifies a revolutionary leap in high-speed, intelligent computing, aiming to redefine standards in real-time language processing and decision-making capabilities. By enhancing the strong foundation laid by its predecessor, it features advanced neural architecture and significant optimization breakthroughs that facilitate quicker and more precise responses. Tailored for applications that demand immediate processing and flexibility, such as live virtual assistants, automated trading systems, and real-time analytics, Gemini 2.0 Flash excels in various contexts. Its streamlined and efficient design allows for effortless deployment across cloud, edge, and hybrid environments, making it adaptable to diverse technological landscapes. Furthermore, its superior contextual understanding and multitasking abilities equip it to manage complex and dynamic workflows with both accuracy and speed, solidifying its position as a powerful asset in the realm of artificial intelligence. With each iteration, technology continues to advance, and models like Gemini 2.0 Flash pave the way for future innovations in the field.

GPT-5.1 Pro is a premium, research-focused model tier built for users who need the strongest reasoning performance ChatGPT offers. It excels in technical domains such as advanced mathematics, scientific analysis, engineering, complex coding, and financial modeling. The model is engineered to deliver more coherent long-form reasoning, better chain-of-thought structure, and stronger factual grounding than general-purpose versions. With expanded context capacity, GPT-5.1 Pro handles large documents, multi-file analysis, and intricate workflows with ease. It also produces clearer explanations with reduced jargon, making complex insights more accessible without losing technical depth. Designed for demanding professional environments, Pro adheres to strict accuracy expectations while minimizing hallucinations in critical tasks. It is restricted to ChatGPT Pro and Business plans, ensuring dedicated access with no usage caps beyond standard abuse guardrails. Compared to other tiers, GPT-5.1 Pro is purpose-built for users who rely on ChatGPT as a high-precision analytical engine.

Grok 4.3 is an advanced AI model developed by xAI to provide enhanced reasoning, real-time insights, and automation capabilities. It builds on the Grok 4 architecture, which already includes features like real-time web browsing, multimodal processing, and tool integration. The model is designed to handle complex tasks such as coding, research, and data analysis with improved accuracy and efficiency. Grok 4.3 is integrated with live data sources, including the web and X, allowing it to deliver timely and relevant information. It operates within the SuperGrok Heavy subscription tier, which provides access to its most powerful capabilities. The model supports long-context understanding, enabling it to process large amounts of information in a single session. It also includes multi-agent or “heavy” configurations that enhance problem-solving performance. Grok 4.3 is optimized for speed and responsiveness, making it suitable for real-time applications. It can generate content, answer questions, and assist with workflows across various domains. The platform continues to evolve with new features and improvements aimed at increasing reliability and performance. Overall, Grok 4.3 offers a powerful AI solution for users who need real-time, high-level intelligence and automation.

Google's Gemini Nano is an efficient and lightweight AI model engineered to perform exceptionally well in environments with limited resources. Specifically designed for mobile applications and edge computing, it merges Google's sophisticated AI framework with innovative optimization strategies, ensuring high-speed performance and accuracy are preserved. This compact model stands out in various applications, including voice recognition, real-time translation, natural language processing, and delivering personalized recommendations. Emphasizing both privacy and efficiency, Gemini Nano processes information locally to reduce dependence on cloud services while ensuring strong security measures are in place. Its versatility and minimal power requirements make it perfectly suited for smart devices, IoT applications, and portable AI technologies. As a result, it opens up new possibilities for developers looking to integrate advanced AI into everyday gadgets.

The Gemini 1.5 Pro AI model represents a pinnacle in language modeling, engineered to produce remarkably precise, context-sensitive, and human-like replies suitable for a wide range of uses. Its innovative neural framework allows it to excel in tasks involving natural language comprehension, generation, and reasoning. This model has been meticulously fine-tuned for adaptability, making it capable of handling diverse activities such as content creation, coding, data analysis, and intricate problem-solving. Its sophisticated algorithms provide a deep understanding of language, allowing for smooth adjustments to various domains and conversational tones. Prioritizing both scalability and efficiency, the Gemini 1.5 Pro is designed to cater to both small applications and large-scale enterprise deployments, establishing itself as an invaluable asset for driving productivity and fostering innovation. Moreover, its ability to learn from user interactions enhances its performance, making it even more effective in real-world scenarios.

The Gemini 1.5 Flash AI model represents a sophisticated, high-speed language processing system built to achieve remarkable speed and immediate responsiveness. It is specifically crafted for environments that necessitate swift and timely performance, integrating an optimized neural framework with the latest technological advancements to ensure outstanding efficiency while maintaining precision. This model is particularly well-suited for high-velocity data processing needs, facilitating quick decision-making and effective multitasking, making it perfect for applications such as chatbots, customer support frameworks, and interactive platforms. Its compact yet robust architecture allows for efficient deployment across various settings, including cloud infrastructures and edge computing devices, thus empowering organizations to enhance their operational capabilities with unparalleled flexibility. Furthermore, the model’s design prioritizes both performance and scalability, ensuring it meets the evolving demands of modern businesses.

Grok Code Fast 1 introduces a new class of coding-focused AI models that prioritize responsiveness, affordability, and real-world usability. Tailored for agentic coding platforms, it eliminates the lag developers often experience with reasoning loops and tool calls, creating a smoother workflow in IDEs. Its architecture was trained on a carefully curated mix of programming content and fine-tuned on real pull requests to reflect authentic development practices. With proficiency across multiple languages, including Python, Rust, TypeScript, C++, Java, and Go, it adapts to full-stack development scenarios. Grok Code Fast 1 excels in speed, processing nearly 190 tokens per second while maintaining reliable performance across bug fixes, code reviews, and project generation. Pricing makes it widely accessible at $0.20 per million input tokens, $1.50 per million output tokens, and just $0.02 for cached inputs. Early testers, including GitHub Copilot and Cursor users, praise its responsiveness and quality. For developers seeking a reliable coding assistant that’s both fast and cost-effective, Grok Code Fast 1 is a daily driver built for practical software engineering needs.

Fuser is a browser-based, model-agnostic AI workspace for people who actually make things—designers, creative directors, studios, and in-house teams. Most AI tools live at two extremes: one-click toys that spit out a single image, or hardcore toolchains like ComfyUI that assume you have GPUs, config patience, and time. Fuser tries to live in the middle. You get a node-based canvas in your browser where you can wire up text, image, video, audio, 3D, and chatbot/LLM models into multimodal workflows. No local install, no Docker, no drivers. Just open a link and start building. Under the hood, Fuser is provider-agnostic. You can plug in your own API keys from OpenAI, Anthropic, Runway, Fal, OpenRouter, and others, or use Fuser’s own pay-as-you-go credits (which don’t expire). That makes it easier to experiment across models, keep costs visible, and avoid getting locked into a single vendor. The main users are design and creative teams who need to move from brief to concepts quickly: campaign moodboards, product and industrial visualizations, motion tests, content pipelines, and experimental media. Instead of a pile of ad-hoc prompts and screenshots, they get reusable workflows they can share, version, and improve. If you like the power and transparency of node graphs but you’d rather not babysit local installs and drivers, Fuser gives you that orchestration layer as a web app, tuned for people whose job is to ship work, not maintain infra.

GLM-5 is a next-generation open-source foundation model from Z.ai designed to push the boundaries of agentic engineering and complex task execution. Compared to earlier versions, it significantly expands parameter count and training data, while introducing DeepSeek Sparse Attention to optimize inference efficiency. The model leverages a novel asynchronous reinforcement learning framework called slime, which enhances training throughput and enables more effective post-training alignment. GLM-5 delivers leading performance among open-source models in reasoning, coding, and general agent benchmarks, with strong results on SWE-bench, BrowseComp, and Vending Bench 2. Its ability to manage long-horizon simulations highlights advanced planning, resource allocation, and operational decision-making skills. Beyond benchmark performance, GLM-5 supports real-world productivity by generating fully formatted documents such as .docx, .pdf, and .xlsx files. It integrates with coding agents like Claude Code and OpenClaw, enabling cross-application automation and collaborative agent workflows. Developers can access GLM-5 via Z.ai’s API, deploy it locally with frameworks like vLLM or SGLang, or use it through an interactive GUI environment. The model is released under the MIT License, encouraging broad experimentation and adoption. Overall, GLM-5 represents a major step toward practical, work-oriented AI systems that move beyond chat into full task execution.

GLM-5.1 represents the latest advancement in Z.ai’s GLM series, crafted as a cutting-edge, agent-focused AI model tailored for coding, reasoning, and managing long-term workflows. This iteration builds upon the framework of GLM-5, which employs a Mixture-of-Experts (MoE) architecture to achieve high performance without incurring excessive inference expenses, aligning with a larger initiative towards open-weight models that are accessible to developers. A significant emphasis of GLM-5.1 is on fostering agentic behavior, allowing it to plan, execute, and refine multi-step tasks instead of merely reacting to isolated prompts. Its capabilities are specifically engineered to manage intricate workflows, such as debugging code, exploring repositories, and performing sequential operations while maintaining context over time. In comparison to its predecessors, GLM-5.1 enhances reliability during lengthy interactions, ensuring coherence throughout extended sessions and minimizing failures in multi-step reasoning processes. Overall, this model signifies a leap forward in AI development, particularly in its ability to support complex task management seamlessly.

omp (oh my pi) is an AI coding agent platform designed to give developers a fully integrated environment for software development, debugging, automation, and collaboration. Built as an enhanced evolution of the Pi coding harness, it connects AI models directly to language servers, debuggers, shells, browsers, memory systems, GitHub repositories, and local development tools without relying on separate plugins or external workflows. The platform supports more than 40 AI providers, allowing developers to switch between frontier models, coding plans, local models, and self-hosted AI services from a unified interface. omp includes advanced capabilities such as structural code editing, intelligent code review, persistent Python and JavaScript execution, browser automation, workflow orchestration, subagents, and collaborative live coding sessions. Developers can debug applications using integrated DAP support, perform semantic code analysis through LSP integration, and automate complex development tasks with specialized built-in tools. Its local memory system allows the agent to retain project knowledge across sessions while maintaining developer control over stored information. omp also introduces innovations such as hash-based code editing, deterministic context compaction, time-traveling stream rules, and content-aware retrieval that improve AI coding accuracy while reducing token usage. Built on a native Rust engine with support for Windows, macOS, and Linux, the platform emphasizes speed, low overhead, and deep integration with local development environments. As an MIT-licensed open-source project, omp gives developers an extensible AI coding platform that can be customized, audited, and expanded to match their own engineering workflows.

Codey is a desktop AI platform that serves as a local command center for software development, intelligent automation, and AI-powered productivity. Running directly on a user's machine, it allows developers to build applications while keeping projects, source code, and workflows under their own control. The platform supports more than 70 AI providers, including Claude, OpenAI, Gemini, OpenRouter, and local models, allowing users to work with the AI services they already use. Codey includes a team of specialized AI agents that divide responsibilities across coding, planning, research, codebase exploration, and supporting tasks to improve development efficiency. Its Autopilot mode uses the Matis agent to transform application ideas into production-ready Next.js web applications with polished user interfaces. Workpilot extends the platform beyond coding by handling documents, spreadsheets, presentations, PDFs, browser tasks, file management, and n8n automation workflows. Developers can choose between collaborative AI assistance through Co-Pilot, fully automated development with Autopilot, or productivity-focused automation with Workpilot. The local-first architecture gives users greater privacy while maintaining flexibility to choose cloud or local AI models. Codey provides a unified environment where developers can build software, automate business tasks, and orchestrate multiple AI agents without leaving their desktop.

The Mixtral 8x7B model is an advanced sparse mixture of experts (SMoE) system that boasts open weights and is released under the Apache 2.0 license. This model demonstrates superior performance compared to Llama 2 70B across various benchmarks while achieving inference speeds that are six times faster. Recognized as the leading open-weight model with a flexible licensing framework, Mixtral also excels in terms of cost-efficiency and performance. Notably, it competes with and often surpasses GPT-3.5 in numerous established benchmarks, highlighting its significance in the field. Its combination of accessibility, speed, and effectiveness makes it a compelling choice for developers seeking high-performing AI solutions.