MiniMax (Hailuo)

MiniMax is a Chinese AI company headquartered in Shanghai that has built a reputation for producing remarkably efficient and high-quality video models on a fraction of the budgets of the larger labs. The company was founded in 2021, and Hailuo (the name means 'sea snail' in Chinese, which is suitable for a model that creates flowing, naturalistic motion) is their video generation product line.

Hailuo's first version was launched in 2024 and quickly gained a following because of its image-to-videoImage-to-videoStarting from a still image and generating a video that animates it according to a prompt. quality and its surprisingly low cost. By late 2024, it was already one of the most popular video models on Western aggregatorAggregatorA tool or platform that wraps many image and video models behind one interface, so you switch models without switching apps. platforms like Krea. The Hailuo team is small relative to its competitors but has shown an unusual focus on architectural efficiency, they get more quality per parameterParameterOne individual weight. Model size is quoted in parameters, in the millions or billions. More parameters can mean more capability and more cost. and per training dollar than almost anybody else in the field.

Hailuo 02, released in 2025, introduced an architecture that MiniMax calls Noise-aware Compute Redistribution, or NCR. The basic insight is similar to Wan's Mixture of Experts approach: different stages of the diffusion process require different kinds of computation, so you can save compute by allocating it asymmetrically. NCR redistributes computational resources across the noise levels of the diffusion process, spending more compute on the parts where it matters most and less on the parts where the model is just refining details that are already mostly correct.

The result, according to MiniMax, is 2.5x training and inferenceInferenceRunning a trained model to produce output. The fast, cheap part of the model lifecycle, in contrast to training. efficiency improvements compared to conventional architectures at similar parameterParameterOne individual weight. Model size is quoted in parameters, in the millions or billions. More parameters can mean more capability and more cost. scales. They used this efficiency gain to expand the model to three times the parameter count of its predecessor and train on four times the data, all without proportional cost increases. Hailuo 02 generates videos at up to 1080p with up to 10 seconds duration.

Hailuo 01 (2024)

The original release. Strong image-to-videoImage-to-videoStarting from a still image and generating a video that animates it according to a prompt., competitive pricing, popular on Krea and similar platforms. Set the template for what Hailuo would become.

Hailuo 02 (mid-2025)

The architectural breakthrough release with NCR. Major quality upgrade and improved economics. Ranked second globally on the Artificial Analysis video benchmarkBenchmarkA standardized test used to compare models on a task, such as prompt adherence or image quality., behind Seedance 1.0 from ByteDance and ahead of Veo 3. This was when Hailuo went from being 'the cheap alternative' to being a serious competitor on quality grounds.

Hailuo 2.3 (early 2026)

The current flagship. Continued improvements in physical realism, motion stability, and stylization handling (anime, illustration, ink wash painting, game CG). MiniMax positions it as the cost-effectiveness leader in the field, comparable quality to the more expensive Western models at significantly lower per-generation cost.

Hailuo's strategic value to the field is that it puts price pressure on all the other video models. When you can get Hailuo-quality results at $0.05 to $0.10 per second of video, the labs charging $0.50 to $1.50 per second have to justify the gap. For many use cases, exploration, ideation, prototyping, social content, Hailuo is the obvious choice. For finished work where the quality difference matters, the more expensive models still have an edge.

Hailuo's role in the field is less about topping a leaderboard than about setting the price floor. When a small Shanghai lab can deliver near-frontier motion quality at a fraction of the cost of Veo or Sora-class output, it forces every other provider to justify a premium. MiniMax's efficiency work, the Noise-aware Compute Redistribution architecture described above, is what lets a lab with a modest compute budget stay in that conversation at all.

Hailuo's real strengths are believable physical motion, unusually granular director-style camera controlCamera controlPrompting or conditioning that directs virtual camera moves such as pan, orbit, dolly, and zoom in a generated video. through natural-language cues, and a price low enough that high-volume creators adopted it in bulk. An early Hailuo 02 build genuinely reached second globally on the Artificial Analysis video arena in mid-2025, which was a real high-water mark. The weaknesses are the mirror image: clips run short, roughly six to ten seconds, MiniMax discloses almost nothing technical about the video models, and by mid-2026 the frontier had moved past it, with the arenaArenaA public leaderboard that ranks models from large numbers of blind pairwise human preference votes, which tends to reward average appeal over fitness for a specific job. topped by Google, ByteDance, Alibaba, and Kling and no Hailuo model in the top ranks. The mid-2025 number two standing is stale, and quoting it today would be wrong.

Access is through the Hailuo web app and the iOS and Android apps, plus the MiniMax platform APIAPI (Application Programming Interface)The programmatic endpoint you call to run a hosted model from your own code instead of a web interface., and it is widely resold through aggregators like fal. Models come in Pro, Standard, and Fast tiers, so the practical habit is to iterate on the cheap Fast tier and switch to Pro only for finals. The signature feature is the reason to use it: put the camera direction in brackets, along the lines of [pan right], [zoom in], or [tracking shot], describe the motion and physics explicitly, and keep to one clear action per short clipCLIPA text encoder developed by OpenAI in 2021 that learns to align text and images in a shared embedding space. Foundation of most text-to-image models from 2022 onward. given the length limit. It is strongest for physics-driven realistic motion, image-to-videoImage-to-videoStarting from a still image and generating a video that animates it according to a prompt. animation, and stylized or anime content at high volume, and weakest for long-form work, guaranteed provenanceProvenanceA verifiable record of how a piece of media was made and by whom, increasingly required so that synthetic content can be traced., or top-of-leaderboard photorealism where the 2026 leaders now sit.