Google AI Studio
Google AI Studio is a comprehensive platform for discovering, building, and operating AI-powered applications at scale. It unifies Google’s leading AI models, including Gemini 3, Imagen, Veo, and Gemma, in a single workspace. Developers can test and refine prompts across text, image, audio, and video without switching tools. The platform is built around vibe coding, allowing users to create applications by simply describing their intent. Natural language inputs are transformed into functional AI apps with built-in features. Integrated deployment tools enable fast publishing with minimal configuration. Google AI Studio also provides centralized management for API keys, usage, and billing. Detailed analytics and logs offer visibility into performance and resource consumption. SDKs and APIs support seamless integration into existing systems. Extensive documentation accelerates learning and adoption. The platform is optimized for speed, scalability, and experimentation. Google AI Studio serves as a complete hub for vibe coding–driven AI development.
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LM-Kit.NET
LM-Kit.NET serves as a comprehensive toolkit tailored for the seamless incorporation of generative AI into .NET applications, fully compatible with Windows, Linux, and macOS systems. This versatile platform empowers your C# and VB.NET projects, facilitating the development and management of dynamic AI agents with ease.
Utilize efficient Small Language Models for on-device inference, which effectively lowers computational demands, minimizes latency, and enhances security by processing information locally. Discover the advantages of Retrieval-Augmented Generation (RAG) that improve both accuracy and relevance, while sophisticated AI agents streamline complex tasks and expedite the development process.
With native SDKs that guarantee smooth integration and optimal performance across various platforms, LM-Kit.NET also offers extensive support for custom AI agent creation and multi-agent orchestration. This toolkit simplifies the stages of prototyping, deployment, and scaling, enabling you to create intelligent, rapid, and secure solutions that are relied upon by industry professionals globally, fostering innovation and efficiency in every project.
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GigaChat 3 Ultra
GigaChat 3 Ultra is a breakthrough open-source LLM, offering 702 billion parameters built on an advanced MoE architecture that keeps computation efficient while delivering frontier-level performance. Its design activates only 36 billion parameters per step, combining high intelligence with practical deployment speeds, even for research and enterprise workloads. The model is trained entirely from scratch on a 14-trillion-token dataset spanning ten+ languages, expansive natural corpora, technical literature, competitive programming problems, academic datasets, and more than 5.5 trillion synthetic tokens engineered to enhance reasoning depth. This approach enables the model to achieve exceptional Russian-language capabilities, strong multilingual performance, and competitive global benchmark scores across math (GSM8K, MATH-500), programming (HumanEval+), and domain-specific evaluations. GigaChat 3 Ultra is optimized for compatibility with modern open-source tooling, enabling fine-tuning, inference, and integration using standard frameworks without complex custom builds. Advanced engineering techniques—including MTP, MLA, expert balancing, and large-scale distributed training—ensure stable learning at enormous scale while preserving fast inference. Beyond raw intelligence, the model includes upgraded alignment, improved conversational behavior, and a refined chat template using TypeScript-based function definitions for cleaner, more efficient interactions. It also features a built-in code interpreter, enhanced search subsystem with query reformulation, long-term user memory capabilities, and improved Russian-language stylistic accuracy down to punctuation and orthography. With leading performance on Russian benchmarks and strong showings across international tests, GigaChat 3 Ultra stands among the top five largest and most advanced open-source LLMs in the world. It represents a major engineering milestone for the open community.
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Sarvam 105B
Sarvam-105B is recognized as the leading large language model in Sarvam's collection of open-source tools, crafted to deliver outstanding reasoning skills, multilingual understanding, and agent-driven functionality within a cohesive and scalable system. This Mixture-of-Experts (MoE) architecture features an astonishing 105 billion parameters, activating only a portion for each token processed, which ensures remarkable computational efficiency while handling complex tasks. It is specifically tailored for sophisticated reasoning, programming, mathematical problem-solving, and agentic functions, making it ideal for situations that require multi-step solutions and structured outputs instead of just basic dialogue. With an impressive capacity to process lengthy contexts of around 128K tokens, Sarvam-105B is adept at managing extensive texts, lengthy conversations, and intricate analytical tasks, maintaining coherence throughout these engagements. Furthermore, its versatile design allows for a wide array of applications, equipping users with powerful tools to address a multitude of intellectual challenges. This flexibility enhances its utility across various domains, further solidifying its status as a premier choice for advanced language model needs.
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