
Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks
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Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks

Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks (site alias/snapshot: qwen3.7-max-2026-05-20).

doubao-seed-2-0-lite-260428 is a fully multimodal understanding model designed for large-scale enterprise deployment. It accepts text, image, video, and audio inputs and produces text, supporting joint audio-visual reasoning, long-video temporal retrieval, detailed audio analysis, coding, agent workflows, and GUI interaction.

happyhorse-1.0-i2v is a model from Alibaba for image-to-video generation.

happyhorse-1.0-t2v is a model from Alibaba for text-to-video generation.

happyhorse-1.0-r2v is a model from Alibaba for reference-to-video generation.

happyhorse-1.0-video-edit is a model from Alibaba for video editing.

Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work

Open MoE flagship with million-token context for coding and long agent runs

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

Qwen3.6-Max-Preview is a proprietary frontier model from Alibaba Cloud built on a sparse mixture-of-experts architecture with approximately 1 trillion total parameters.

Strong GLM coding model for agentic engineering, terminals, and repository generation

Earlier Qwen multimodal workhorse for million-token agent and document tasks

Earlier Qwen multimodal workhorse for million-token agent and document tasks (site alias/snapshot: qwen3.6-plus-2026-04-02).

Omni-modal model for text, vision, audio, and multimodal agent tasks

Omni-modal model for text, vision, audio, and multimodal agent tasks

qwen3.5-omni-flash-realtime is a model from Alibaba for real-time multimodal interaction.

qwen3.5-omni-plus-realtime is a model from Alibaba for real-time multimodal interaction.

Omni-modal model for text, vision, audio, and multimodal agent tasks (site alias/snapshot: qwen3.5-omni-flash-2026-03-15).

Omni-modal model for text, vision, audio, and multimodal agent tasks (site alias/snapshot: qwen3.5-omni-plus-2026-03-15).