Alibaba

Alibaba: HappyHorse 1.0 is described as an open source, state-of-the-art AI video generator with native audio and video co-generation capabilities - meaning that the alibaba: HappyHorse 1.0 video model can simultaneously generate video frames and corresponding audio tracks (dialogue, ambience, foley) in a single forward pass, rather than generating silent video first and then dubbing it later. According to an architectural description compiled by the community, the model is built around a 15 billion-parameter unified self-attention Transformer that can process text, image, video, and audio tokens within a single token sequence. It is reportedly built without a dedicated cross-attention branch and without a separate audio module. Combined with DMD-2 distillation technology, its distilled version is said to require only 8 denoising steps on the NVIDIA H100 and requires no classifier-free guidance to generate 1080p video in approximately 38 seconds.

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$0.112-0.192/second

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Alibaba: HappyHorse 1.1 is a video generation model from Alibaba. It generates short videos from a text prompt, a single starting image, or a set of reference images, with output up to 1080p and durations of 3 to 15 seconds. It is suited for creative content, social media clips, and image-driven animation, and improves on the prior version with stronger prompt adherence, smoother motion, and more consistent characters across frames.

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$0.049-0.126/second

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Qwen: Qwen3.7-Flash is a visual language reasoning model from Alibaba. It is suitable for multi-modal agents, visual encoding, search and computer interaction, with advantages in object recognition, spatial understanding and real-world visual perception.

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$0.03$0.0195/1M

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$0.13$0.0845/1M

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1M

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64K

Qwen3.7-Max is the flagship model of Alibaba’s Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with significant advantages in coding, office and productivity tasks, and long-term autonomous execution. The model offers significant improvements in encoding and agent performance compared to previous Qwen versions, and supports explicit cue word caching for efficient repeated context use.

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$2.5$1.625/1M

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$7.5$4.875/1M

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64K

Qwen3.7-Plus is a multi-modal generative model in the Qwen3.7 series that supports text, image and video input and text output. It is designed for agent workloads and delivers strong performance in programming, office productivity, and long-range autonomous execution.

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$0.4$0.26/1M

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$1.6$1.04/1M

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1M

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64K

Alibaba: Wan3.0-Video is a multi-functional reference video generation model that supports text-to-video, image-to-video (first frame/first and last frame) and reference-based video generation. It is capable of generating videos up to 30 seconds long at 30fps.

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$0.03-0.12/second

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Alibaba: Wan3.0-Video-Prime is a high-speed version of the Wan3.0 video generation model. It has the same powerful capabilities as the standard Wan3.0-Video model, supports comprehensive reference input of four modalities, can generate videos up to 30 seconds, and significantly improves the end-to-end generation speed while providing an immersive audio-visual experience.

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$0.0578-0.238/second

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20K

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