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Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and productivity tasks that require planning, context continuity, and sustained multi-step execution. File Support: Text, Markdown and PDF files Context window: 1M tokens

deepseek/deepseek-v4.1-flash powered by Novita AI File Support: Text, Markdown, Image and PDF files Context window: 1M tokens

Ling-3.0-flash-VL builds on Ling-3.0-flash, further strengthening its language capabilities while adding native visual perception and advanced visual agent capabilities. File Support: Text, Markdown, Image, Video and PDF files Context window: 262k tokens

Ling-3.0-flash-Fin is a finance-enhanced MoE model built on Ling-3.0-flash, with 124 billion total parameters and approximately 5.1 billion activated parameters. Designed for real-world investment workflows, it is optimized for complex multi-step tasks and long-horizon planning and execution. With a relatively small active parameter footprint, it delivers competitive financial performance while maintaining strong general capabilities in reasoning, coding, and mathematics. File Support: Text, Markdown and PDF files Context window: 262k tokens

MiniMax H3 is a general-purpose, omni-modal generative system. It supports unified understanding of multimodal contexts composed of text, images, video, and audio, and can generate video with native stereo audio at resolutions up to 2K and durations of up to 15 seconds. Thanks to its task-generalization-oriented system design, H3 already possesses broad multimodal context understanding and generation capabilities at the pre-training stage, enabling outstanding performance in following complex multimodal instructions.

DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of DeepSeek V4 Flash 0731(opens in new tab) from DeepSeek, adding image understanding while matching the base model on text capabilities including agents, reasoning, and world knowledge. It is a sparse mixture-of-experts model with 13B active parameters out of 284B total. It is suited for document and chart understanding, visual question answering, and multimodal agent workflows that interleave text and images. File Support: Text, Markdown, Image and PDF files Context window: 1M tokens

GLM-5.3 is Z.ai’s latest flagship model, delivering comprehensive advancements in complex software engineering and agent capabilities. It uses the same base model as GLM-5.2, with all improvements driven by post-training. File Support: Text, Markdown and PDF files Context window: 1M tokens

Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of Qwen3.8 Max, with 95 billion active parameters out of 2.4 trillion total. It is suited for coding, research, complex reasoning, and agentic workflows.Text-only. File Support: Text, Markdown and PDF files Context window: 1M tokens

qwen/qwen3.8-27b powered by Novita AI File Support: Text, Markdown, Image, Video and PDF files Context window: 1M tokens

GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead. File Support: Text, Markdown, Image, Video and PDF files Context window: 1M tokens