Novita AI Integrations

OpenAI is committed to ensuring that artificial general intelligence (AGI)—characterized by its ability to perform most tasks that are economically important with a level of autonomy that surpasses human capabilities—benefits all of humanity. Our primary goal is to create AGI that is both safe and beneficial; however, we also view our mission as a success if we empower others to reach this same objective. You can take advantage of our API for numerous language-based functions, such as semantic search, summarization, sentiment analysis, content generation, translation, and much more, all achievable with just a few examples or a clear instruction in English. A simple integration gives you access to our ever-evolving AI technology, enabling you to test the API's features through these sample completions and uncover a wide array of potential uses. As you explore, you may find innovative ways to harness this technology for your projects or business needs.

Z.ai is a complimentary AI-powered chat assistant that enables users to create presentations, generate professional texts, and write complex code scripts merely by issuing natural language commands. It includes features like AI Slides for easy slide deck creation, an AI Writer for assistance with professional writing tasks, and a Code Agent that aids in generating and explaining code. Beyond these primary features, it also offers functionalities such as conducting information searches, performing thorough research, generating brainstorming ideas, summarizing content, helping users overcome writer’s block, and automating tedious tasks. Users can start a dialogue, clarify their requirements, and quickly obtain ready-made outputs without the hassle of registration or the need for installing software. The platform boasts a user-friendly web interface, supports various languages, and utilizes context-sensitive memory to facilitate seamless multi-turn interactions. With its unlimited free access, Z.ai democratizes advanced content creation, making it attainable for everyone. This accessibility ultimately empowers users by equipping them with essential tools for enhanced communication and creativity, fostering an environment where innovative ideas can flourish.

DeepSeek emerges as a cutting-edge AI assistant, utilizing the advanced DeepSeek-V3 model, which features a remarkable 600 billion parameters for enhanced performance. Designed to compete with the top AI systems worldwide, it provides quick responses and a wide range of functionalities that streamline everyday tasks. Available across multiple platforms such as iOS, Android, and the web, DeepSeek ensures that users can access its services from nearly any location. The application supports various languages and is regularly updated to improve its features, add new language options, and resolve any issues. Celebrated for its seamless performance and versatility, DeepSeek has garnered positive feedback from a varied global audience. Moreover, its dedication to user satisfaction and ongoing enhancements positions it as a leader in the AI technology landscape, making it a trusted tool for many. With a focus on innovation, DeepSeek continually strives to refine its offerings to meet evolving user needs.

Kimi K2.7 Code is an open-source agentic coding model from Moonshot AI designed for developers, engineering teams, and AI coding workflows that require long-context understanding and multi-step execution. It is built for real-world software engineering tasks, including code generation, code review, debugging, repository navigation, tool use, and long-horizon development work. The model is described by Moonshot AI as a coding-focused agentic model with stronger performance on complex coding tasks than earlier Kimi K2 releases. Kimi K2.7 Code supports a 256K context window, allowing it to process large codebases, technical requirements, logs, documentation, and multi-file development context in a single workflow. It is available through Kimi Code, which provides developer-oriented tools for using the model in coding tasks. The model can also be accessed through Moonshot’s API platform, where Kimi K2.7 Code and Kimi K2.7 Code Highspeed are offered alongside earlier Kimi models. For developers who want more control, Kimi K2.7 Code is listed on Hugging Face with deployment support for inference engines such as vLLM, SGLang, and KTransformers. It uses OpenAI- and Anthropic-compatible API options, helping teams connect it to existing applications, coding tools, and agent systems more easily. Third-party model listings describe it as using a 1T-parameter mixture-of-experts architecture with 32B active parameters, native INT4 quantization, and reduced thinking-token usage compared with Kimi K2.6. The model is designed to improve efficiency by using fewer reasoning tokens while still supporting demanding programming workflows. Kimi K2.7 Code is a strong fit for developers who want an open, long-context, tool-friendly AI model for software engineering automation and AI-assisted development.

Kimi K3 is Moonshot AI’s most advanced model, designed for high-end reasoning, software engineering, multimodal understanding, knowledge work, and agentic AI applications. The model has 2.8 trillion parameters and is built on Kimi Delta Attention, a hybrid linear attention mechanism created for long-context performance. It also uses Attention Residuals and supports a native context window of up to 1 million tokens. This makes Kimi K3 suitable for tasks involving large codebases, long research materials, enterprise documentation, multi-file analysis, legal documents, technical manuals, and complex workflows. Kimi K3 always has thinking mode enabled, with reasoning effort configured through the reasoning_effort field and maximum effort currently supported as the default. Developers can use the model through an OpenAI-compatible API, making it easier to integrate with existing SDKs, clients, and application infrastructure. The model supports streaming responses with separate reasoning and final-answer deltas, allowing applications to display reasoning progress and final content differently. Kimi K3 also supports strict structured output with JSON Schema, partial mode for continuing from a prefix, custom tool calling, required tool use, and dynamic tool loading through system messages. Its vision capabilities support image and video inputs through base64 or uploaded files, enabling analysis of visual content alongside text. Automatic context caching helps workflows that reuse long prefixes, such as large knowledge bases or persistent system context, without requiring developers to manage cache IDs manually. By combining frontier-scale parameters, long-context processing, visual input, structured outputs, tool orchestration, and developer-friendly API compatibility, Kimi K3 gives teams a strong foundation for advanced AI agents, coding assistants, research systems, enterprise automation, and multimodal applications.

Qwen3.8 Max is Alibaba’s newest preview flagship model in the Qwen model family, publicly listed as Qwen3.8-Max-Preview in Alibaba Cloud Model Studio. It is positioned for advanced AI use cases that require reasoning, coding, multimodal understanding, agentic workflows, data analysis, and productivity automation. Alibaba Cloud’s Model Studio page states that Qwen3.8-Max-Preview is available to try through the latest Token Plan. Public reporting describes the model as a 2.4 trillion-parameter system and says Alibaba presents it as one of the strongest models it has tested. The model is also described as Alibaba’s first trillion-parameter multimodal Qwen model, with support for text, images, video, and documents. Qwen3.8 Max is expected to build on Qwen3.7 Max with improvements in coding, full-stack development, data analysis, and office workflows. The broader Qwen platform includes models for language, vision, audio, video, structured data, image editing, coding, and tool-using agent applications. Alibaba Cloud also highlights Qwen3 capabilities such as multilingual support, Model Context Protocol support, hybrid thinking modes, and agentic capabilities across the Qwen ecosystem. Important details still appear limited, including the full model card, benchmark methodology, active-parameter count, final pricing, license, and open-weight release information. For that reason, Qwen3.8 Max should currently be treated as a preview model that developers can test rather than a fully documented production release. By combining large-scale architecture, multimodal capability, coding strength, and Alibaba Cloud access, Qwen3.8 Max is aimed at teams building advanced AI assistants, coding tools, enterprise agents, data workflows, and multimodal applications.

Qwen is an advanced AI assistant and development platform powered by Alibaba Cloud’s cutting-edge Qwen model family, offering powerful multimodal reasoning and creativity tools for users at all skill levels. It provides a free and accessible interface through Qwen Chat, where anyone can generate images, analyze content, perform deep multi-step research, and build fully coded web pages simply by describing what they want. Using its VLo model, Qwen transforms ideas into detailed visuals and supports editing, style transfer, and complex multi-element image creation. Deep Research acts like an automated research partner, gathering information online, synthesizing insights, and generating structured reports in minutes. The Web Dev feature empowers users to create modern, ready-to-deploy websites with clean code using only natural language instructions. Qwen’s enhanced “Thinking” capabilities provide stronger logic, structured problem-solving, and real-time internet-aware analysis. Its Search tool retrieves precise results with contextual understanding, while multimodal intelligence enables Qwen to process images, audio, video, and text together for deeper comprehension. For developers, the Qwen API offers OpenAI-compatible endpoints, allowing seamless integration of Qwen’s reasoning, generation, and multimodal abilities into any application or product. This makes Qwen not only an AI assistant but also a versatile platform for builders and engineers. Across web, desktop, and mobile environments, Qwen delivers a unified, high-performance AI experience.

Kimi K2.6 is a cutting-edge agentic AI model developed by Moonshot AI, designed to improve practical application, programming efficiency, and complex reasoning abilities beyond its forerunners, K2 and K2.5. Utilizing a Mixture-of-Experts framework, this model embodies the multimodal, agent-centric principles of the Kimi series, seamlessly combining language understanding, coding skills, and tool application into a unified system capable of planning and executing sophisticated workflows. It boasts advanced reasoning capabilities and superior agent planning, allowing it to break down tasks, coordinate multiple tools, and address challenges involving numerous files or steps with heightened accuracy and efficiency. Furthermore, it excels in tool-calling functions, ensuring a reliable connection with external platforms like web searches or APIs, while incorporating built-in validation systems to confirm the correctness of execution formats. Significantly, Kimi K2.6 marks a transformative advancement in the AI landscape, establishing new benchmarks for the intricacy and dependability of automated processes, and paving the way for future innovations in the field.

Qwen3.7-Max signifies the pinnacle of innovation in Qwen's proprietary model series, specifically designed for the agent-centric era, and acts as a solid platform for a multitude of applications such as writing and debugging code, automating office workflows, and sustaining prolonged autonomous browsing sessions. This model excels in coding performance, showcasing exceptional skills in software engineering, terminal operations, graphical user interface interactions, web surfing, and the effective use of agentic tools. By improving the synergy between the model's intelligence and actual agent execution, Qwen3.7-Max supports sophisticated planning, reasoning over extended contexts, reliable function invocation, and the management of complex, multi-step tasks in intricate workflows. Additionally, it enhances multimodal and document-oriented tasks via Qwen Studio, which facilitates chatbot interactions, interprets images and videos, creates visuals, processes documents, develops presentations, provides coding assistance, performs thorough research, and supports web development. With this extensive array of capabilities, Qwen3.7-Max is positioned as a premier solution for various operational requirements in today's dynamic digital environment, ensuring users can efficiently tackle a wide range of challenges. As technology continues to evolve, the importance of such advanced models will only grow, making Qwen3.7-Max an invaluable asset for future endeavors.

Kimi serves as an exceptionally skilled assistant, boasting a remarkable "memory" that enables her to simultaneously read extensive novels of up to 200,000 words while browsing the web. Her ability to grasp and analyze lengthy documents proves invaluable for swiftly summarizing reports like financial analyses and research findings, which enhances both your reading efficiency and organizational tasks. When preparing for exams or exploring unfamiliar topics, Kimi adeptly summarizes and clarifies intricate details from textbooks or academic articles, making learning more accessible. For those involved in programming or technical endeavors, Kimi is ready to assist by reproducing code or proposing technical solutions based on your provided snippets or pseudocode. Fluent in Chinese and adept at handling multilingual content, Kimi greatly improves communication and comprehension in international environments, establishing her as a versatile asset for global collaboration. Beyond her practical applications, Kimi Chat can engage users in lively conversations or even take on the persona of beloved game characters, adding an entertaining dimension to the experience. This blend of productivity help and interactive enjoyment not only aids in completing tasks but also infuses a sense of fun into your everyday activities, making Kimi an indispensable part of your routine.

MCPTotal stands out as a comprehensive, enterprise-grade solution designed to streamline the management, hosting, and governance of MCP (Model Context Protocol) servers and AI-tool integrations within a secure and audit-compliant environment, eliminating the risks associated with running these systems on developers' personal machines. Central to this platform is the “Hub,” which provides a controlled, sandboxed runtime environment where MCP servers are securely containerized, reinforced, and meticulously examined for vulnerabilities. Complementing this, the integrated “MCP Gateway” acts as an AI-centric firewall that conducts real-time analysis of MCP traffic, implements security protocols, monitors all interactions and data flows, and addresses common threats such as data breaches, prompt-injection attacks, and unauthorized credential usage. To further bolster security, all API keys, environment variables, and credentials are stored in an encrypted vault, effectively curbing credential sprawl and minimizing the risks linked with storing sensitive data in plaintext on individual devices. In addition, MCPTotal equips organizations with powerful discovery and governance tools, enabling security teams to scan both desktop and cloud environments to pinpoint the active usage of MCP servers, thereby ensuring thorough oversight and control. With its extensive features, this platform not only enhances security but also significantly improves the efficiency of managing AI resources across enterprises, ultimately fostering a more secure operational landscape for organizations.

DeepSeek-V4 is a cutting-edge open-source AI model built to deliver exceptional performance in reasoning, coding, and large-scale data processing. It supports an industry-leading one million token context window, allowing it to manage long documents and complex tasks efficiently. The model includes two variants: DeepSeek-V4-Pro, which offers 1.6 trillion parameters with 49 billion active for top-tier performance, and DeepSeek-V4-Flash, which provides a faster and more cost-effective alternative. DeepSeek-V4 introduces structural innovations such as token-wise compression and sparse attention, significantly reducing computational overhead while maintaining accuracy. It is designed with strong agentic capabilities, enabling seamless integration with AI agents and multi-step workflows. The model excels in domains such as mathematics, coding, and scientific reasoning, outperforming many open-source alternatives. It also supports flexible reasoning modes, allowing users to optimize for speed or depth depending on the task. DeepSeek-V4 is compatible with popular APIs, making it easy to integrate into existing systems. Its open-source nature allows developers to customize and scale it according to their needs. The model is already being used in advanced coding agents and automation workflows. It delivers a strong balance of performance, efficiency, and scalability for real-world applications. Overall, DeepSeek-V4 represents a major advancement in accessible, high-performance AI technology.

Our platform offers an all-in-one solution for engineering, finance, and FinOps teams to effectively monitor, allocate, and improve expenditures related to LLM APIs from a variety of providers. Spending is organized according to customizable metrics that correspond with your organization's financial reporting requirements. Engineering teams can enjoy smooth cost tracking without disrupting their daily operations. CTOs gain a comprehensive perspective that aids in model governance and reduces the risk of unauthorized usage. CFOs are provided with detailed financial reports that support accurate forecasting, budgeting, and chargebacks, all customized to fit their specific reporting needs. FinOps teams benefit from immediate access to cost data across different providers, seamlessly integrating into their current cloud management workflows. When your organization engages with LLM APIs and board members seek clarity on spending and its rationale, we become the ultimate answer to those inquiries. Moreover, our platform not only facilitates informed financial decision-making but also enhances accountability while optimizing resource distribution. This comprehensive approach ensures that every team is equipped with the insights necessary to manage costs effectively.

DeepSeek-V4-Pro is a next-generation Mixture-of-Experts language model designed to deliver high performance across reasoning, coding, and long-context AI tasks. It features a massive architecture with 1.6 trillion total parameters and 49 billion activated parameters, enabling efficient computation while maintaining strong capabilities. The model supports an industry-leading context window of up to one million tokens, allowing it to process extremely large datasets, documents, and workflows. Its hybrid attention mechanism combines advanced techniques to optimize long-context efficiency and reduce computational requirements. DeepSeek-V4-Pro is trained on over 32 trillion tokens, enhancing its knowledge base and reasoning abilities. It incorporates advanced optimization methods to improve training stability and convergence. The model supports multiple reasoning modes, including fast responses and deep analytical thinking for complex problem solving. It performs strongly across benchmarks in coding, mathematics, and knowledge-based tasks. The architecture is designed for agentic workflows, enabling it to handle multi-step tasks and tool-based interactions. As an open-source model, it offers flexibility for customization and deployment across various environments. It also supports efficient memory usage and reduced inference costs compared to previous versions. The model’s capabilities make it suitable for both research and enterprise applications. Overall, DeepSeek-V4-Pro represents a significant advancement in scalable, high-performance AI with long-context intelligence.

DeepSeek-V4-Flash is a next-generation Mixture-of-Experts language model engineered for high efficiency, scalability, and long-context intelligence. It consists of 284 billion total parameters with 13 billion activated parameters, enabling optimized performance with reduced computational overhead. The model supports an industry-leading context window of up to one million tokens, allowing it to process extensive datasets and complex workflows seamlessly. Its hybrid attention architecture combines advanced techniques to improve long-context efficiency and reduce memory usage. DeepSeek-V4-Flash is trained on over 32 trillion tokens, enhancing its capabilities in reasoning, coding, and knowledge-based tasks. It incorporates advanced optimization methods for stable training and faster convergence. The model supports multiple reasoning modes, including fast responses and deeper analytical processing for complex problems. While slightly less powerful than its Pro counterpart, it achieves comparable reasoning performance when given more computation budget. It is designed for agentic workflows, enabling multi-step reasoning and tool-based interactions. The model is well-suited for scalable deployments where performance and cost efficiency are both important. As an open-source solution, it offers flexibility for customization across various environments. It also reduces inference cost and resource usage compared to larger models. Overall, DeepSeek-V4-Flash delivers a strong balance of speed, efficiency, and capability for real-world AI use cases.

MiniMax is a leading artificial intelligence company focused on advancing multimodal AI technologies and delivering intelligent products for developers, enterprises, and consumers worldwide. Founded with the mission of co-creating intelligence with everyone, the company has developed a suite of proprietary foundation models capable of understanding, generating, and integrating content across text, audio, images, video, music, and code. Its flagship MiniMax M3 model combines frontier-level coding and agentic capabilities with native multimodal intelligence and an innovative sparse attention architecture that supports up to one million tokens of context, enabling complex long-form reasoning and large-scale task execution. MiniMax provides a broad ecosystem of AI-native products, including MiniMax Code for software development, Hailuo AI for video generation, MiniMax Audio for speech and music creation, Talkie for conversational experiences, and an open platform for developers and enterprises. The MiniMax Code environment allows users to deploy AI agents, automate coding workflows, build custom skills, manage schedules, and coordinate agent teams that can solve complex problems collaboratively. Developers can access advanced models through APIs and token plans designed to support high-volume AI workloads, application development, and enterprise integrations. The platform’s multimodal capabilities make it suitable for a wide range of use cases, including software engineering, business automation, content creation, research, knowledge management, customer experiences, and intelligent workflow orchestration. By combining cutting-edge AI research with practical products and developer-focused infrastructure, MiniMax helps organizations accelerate innovation, improve productivity, and build next-generation AI-powered applications.

WaveSpeedAI is a standout generative media platform designed to dramatically accelerate the creation of images, videos, and audio by utilizing sophisticated multimodal models alongside a remarkably swift inference engine. It supports a wide array of creative tasks, such as transforming text into video, converting images into video, generating images from text, creating voice content, and crafting 3D assets, all through a unified API designed for scalability and speed. By incorporating leading foundation models like WAN 2.1/2.2, Seedream, FLUX, and HunyuanVideo, the platform provides users with effortless access to a vast library of resources. Thanks to its outstanding generation speeds and real-time processing features, users consistently achieve high-quality results, making it suitable for various applications. WaveSpeedAI emphasizes a “fast, vast, efficient” approach, ensuring the rapid production of creative assets, a diverse selection of advanced models, and cost-effective operations without compromising on quality. Moreover, the platform is specifically crafted to address the evolving needs of contemporary creators, making it an essential asset for anyone eager to enhance their media production capabilities and streamline their workflow. As a result, users can experience a transformative shift in their creative processes, ultimately leading to increased productivity and innovation.