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Turn rules and facts into decisions. Choose from predefined answers for classification and decision workflows.

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding, and long-horizon agent workflows, with strong performance across knowledge, math, and software engineering benchmarks. Built on the same architecture as DeepSeek V4 Flash, it introduces a hybrid attention system for efficient long-context processing and supports multiple reasoning modes to balance speed and depth depending on the task. It is well suited for complex workloads such as full-codebase analysis, multi-step automation, and large-scale information synthesis, where both capability and efficiency are critical.

DeepSeek V4.1 Flash 1017 is the October refresh of V4.1 Flash — a fast, lightweight model for reasoning, coding and general-purpose tasks, with a 1M-token context window at a fraction of the previous price.

Gemini is a generative artificial intelligence chatbot and virtual assistant developed by Google. It is powered by the large language model of the same name, after previously being based on LaMDA and PaLM 2.

Gemini 4 Argon is Google's latest multimodal model, pairing a 1M-token context window with vision input and tool use for long-document reasoning, coding and agentic tasks.

GLM-5.3 is the latest open-source SOTA model for advanced reasoning, coding, and agentic tasks.

GLM-5.3-Flash is a fast and efficient open-source model optimized for advanced reasoning, coding, and agentic tasks.

Kimi K3 is Kimi’s most capable flagship model to date, with 2.8 trillion parameters. It is built on Kimi Delta Attention (KDA), a hybrid linear attention mechanism, and Attention Residuals, with native visual understanding and a 1M-token context window. It is the world’s first open-source model in the 3-trillion-parameter class, designed for frontier intelligence scenarios including long-horizon coding, knowledge work, and reasoning.

Nano Banana 2 brings the high-speed intelligence of Gemini Flash to visual generation, making rapid edits and iteration possible. It makes once-exclusive Pro features accessible to a wider audience, including: * Advanced world knowledge: The model pulls from Gemini’s real-world knowledge base, and is powered by real-time information and images from web search to more accurately render specific subjects. This deep understanding also helps you create infographics, turn notes into diagrams and generate data visualizations. * Precision text rendering and translation: Nano Banana 2 allows you to generate accurate, legible text for marketing mockups or greeting cards. You can even translate and localize text within an image to share your ideas globally.

Qwen 3.8 Max is an advanced generative AI model designed for text generation, coding, data analysis, reasoning, and handling complex tasks with strong performance and versatility.

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and high-throughput workloads, while maintaining strong reasoning and coding performance. The model includes hybrid attention for efficient long-context processing and supports configurable reasoning modes. It is well suited for applications such as coding assistants, chat systems, and agent workflows where responsiveness and cost efficiency are important.

DeepSeek V4 Flash Vision Exp is an efficiency-optimized multimodal Mixture-of-Experts model from DeepSeek, designed to combine fast inference with strong vision, reasoning, and coding capabilities. It supports image understanding alongside text-based tasks, making it suitable for applications that require both visual and language intelligence. The model is optimized for responsive multimodal workloads, including image analysis, visual question answering, document understanding, coding assistants, chat systems, and agent workflows. Its experimental Vision architecture is designed to deliver capable visual reasoning while maintaining the efficiency and throughput expected from the Flash model family.

DeepSeek V4.1 Flash — A fast, lightweight AI model designed for efficient reasoning, coding, and general-purpose tasks, offering strong performance with low latency and cost.

Gemini 3.7 Flash delivers advanced intelligence at the speed and efficiency expected from the Flash series. It is designed for demanding agentic and coding workloads, combining strong reasoning, coding, and multimodal understanding with fast, responsive inference. The model is well suited for applications such as autonomous agents, software engineering, complex problem solving, multimodal analysis, and real-time AI assistants. With its balance of capability, latency, and efficiency, Gemini 3.7 Flash is optimized for high-throughput workloads that require frontier-level performance without sacrificing responsiveness.

Kimi K2.6 is Kimi’s latest and most intelligent model, possessing stronger and more stable long-term code writing capabilities, and significantly improved instruction compliance and self-correction capabilities. It features a native multimodal architecture that supports text, image, and video input, thinking and non-thinking modes, and dialogue and agent tasks.

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.