Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
Atlas Cloud provides you with the latest industry-leading creative models.
Atlas Cloud provides you with the latest industry-leading creative models.

Powered by deeply optimized flow matching algorithms, delivering sub-second response times and high concurrency to top industry standards.

Redefines value via architectural compute restructuring, slashing per-generation costs to a fraction of competitors while maintaining 1080p cinematic quality.

Specializes in large-scale movements and physics simulation, fluid dynamics and coherence.

Utilizes advanced 3D VAE visual encoding to ensure high realism and spatiotemporal consistency in lighting, texture, and structure.

Features superior bilingual understanding (Chinese/English), accurately capturing subtle prompt nuances for "what you think is what you get" visuals.

Natively supports any aspect ratio, enabling lossless adaptation for all major social media and ad platforms in a single generation.
Lowest cost
| Modality | Description |
|---|---|
| Van-2.6 T2V API(Text To Video) | The Van-2.6 T2V API empowers developers to transform text prompts into ultra-high-resolution cinematic videos. By leveraging 3D VAE and Flow Matching with compute distillation, it generates fluid, high-fidelity content optimized for professional film production, high-frequency rendering, and scalable creative workflows. |
| Van-2.6 I2V API(Image To Video) | The Van-2.6 I2V API empowers developers to animate static images into dynamic, high-resolution cinematic scenes. By preserving intricate visual details through advanced Flow Matching, it generates life-like motion and complex dynamics optimized for high-end visual effects, interactive media, and realistic character animation. |
| Van-2.5 I2V API(Image To Video) | The Van-2.5 I2V API empowers developers to breathe life into still images with cost-effective precision. By combining 3D VAE dynamics with ultra-low inference costs, it generates smooth and expressive motion sequences optimized for rapid prototyping, budget-conscious scaling, and diverse digital marketing assets. |
| Van-2.5 T2V API(Text To Video) | The Van-2.5 T2V API empowers developers to turn text descriptions into vivid cinematic clips at extreme speeds. By utilizing proprietary distillation techniques, it generates high-quality, low-cost video content optimized for massive-scale generation, rapid creative iteration, and high-frequency social media engagement. |
Combining advanced models with Atlas Cloud's GPU-accelerated platform delivers unmatched speed, scalability, and creative control for image and video generation.
The Van-2.6 API empowers storytellers to generate complex video sequences that mimic professional cinematic editing within a single generation task. By orchestrating multiple camera angles and seamless shot transitions in a continuous flow, it maintains perfect narrative consistency while delivering dynamic visual perspectives. It is the ultimate solution for automated storyboarding, immersive cinematic storytelling, and high-impact long-form video production.
The Van Model API elevates the Wan 2.5 and 2.6 frameworks into stunning high-resolution outputs with absolute content consistency. By refining cinematic 3D VAE textures and pixel-perfect clarity, it delivers professional-grade video quality that surpasses original benchmarks. It is the definitive choice for premium storytelling, sharp detail restoration, and high-end cinematic production.
The Van Model API leverages proprietary compute distillation to shatter the "quality-to-cost" barrier with lightning-fast inference speeds. By optimizing the Flow Matching architecture, it enables massive-scale generation at a fraction of traditional operational costs. It is the ultimate solution for high-frequency enterprise workflows, budget-conscious scaling, and rapid creative iteration.
The Van Model API offers unparalleled creative freedom by reducing model constraints while maintaining complex 3D VAE motion dynamics. By deeply understanding fluid physics and intricate camera language, it enables developers to craft unrestricted, high-impact cinematic sequences. It is the premier engine for innovative visual experimentation, complex scene transitions, and boundary-pushing artistic expression.
Discover practical use cases and workflows you can build with this model family — from content creation and automation to production-grade applications.
The Van API grants creators absolute freedom to build artistic content with fewer model constraints and higher output resolutions. By leveraging cinematic visual fidelity, it facilitates complex motion blending that seamlessly transitions across environments and stylized narratives. This fits experimental film production, art installations, and scenarios requiring professional-grade creative expression without traditional limitations.
Designed for profound storytelling, the Van API enables storytellers to generate complex sequences that mimic professional editing with multiple camera angles and seamless shot transitions in a single generation task. Perfect for maintaining perfect narrative consistency across entire projects, it generates fluid content optimized for immersive cinematic storytelling and high-impact long-form video production.
The Van-2.5 API shatters the "quality-to-cost" barrier by delivering high-fidelity content at extreme inference speeds with ultra-low costs. Built on proprietary compute distillation, it enables rapid creative iteration and massive-scale generation. It is the definitive solution for budget-conscious scaling, diverse digital marketing assets, and high-frequency production workflows.
See how models from different providers stack up — compare performance, pricing, and unique strengths to make an informed decision.
| Model | Input Types | Output Duration | Resolution | Audio Generation |
|---|---|---|---|---|
| Van 2.6 | Text, Image, Audio | 5s; 10s; 15s | 1080P | √ |
| Van 2.5 | Text, Image, Audio | 5s; 10s | 1080P, 720P | × |
| Wan 2.6 | Text, Image, Video, Audio | 5s; 10s; 15s | 1080P, 720P | √ |
| Seedance 2.0 | Text, Image, Video, Audio | 5s;10s | 2k, 1080P, 720P, 480P | √ |
| Kling 3.0 | Text, Image, Video | 3-15s | 720P | √ |
| Veo 3.1 | Text, Image | 4s; 6s; 8s | 1080P, 720P | √ |
Get started in minutes — follow these simple steps to integrate and deploy models through Atlas Cloud's platform.
Sign up at atlascloud.ai and complete verification. New users receive free credits to explore the platform and test models.
Combining the advanced Van Video Models models with Atlas Cloud's GPU-accelerated platform provides unmatched performance, scalability, and developer experience.
Low Latency:
GPU-optimized inference for real-time reasoning.
Unified API:
Run Van Video Models, GPT, Gemini, and DeepSeek with one integration.
Transparent Pricing:
Predictable per-token billing with serverless options.
Developer Experience:
SDKs, analytics, fine-tuning tools, and templates.
Reliability:
99.99% uptime, RBAC, and compliance-ready logging.
Security & Compliance:
SOC 2 Type II, HIPAA alignment, data sovereignty in US.
3D VAE (Variational Autoencoder) is a spatial-temporal compression technology that encodes video data into a compact latent space. By processing spatial details and temporal motion simultaneously, it preserves cinematic textures and fluid dynamics while significantly reducing computational overhead.
Flow Matching is a state-of-the-art generative framework that defines a continuous, straight-line path between noise and data. Compared to traditional diffusion models, it enables more precise motion control and faster convergence, resulting in high-fidelity video with complex physical logic.
While built on the Wan 2.5 and 2.6 architectures, Van Model is an optimized flagship series that delivers significantly higher output resolutions and greater creative freedom. Through proprietary distillation, Van also offers drastically faster inference speeds and lower operational costs.
Van optimizes the 3D VAE decoder and integrates high-fidelity refinement layers during the compute distillation process. This ensures that while the core movement and logic remain identical to the base model, the visual clarity and pixel density are substantially enhanced.
Compute distillation compresses complex model knowledge into a highly efficient inference engine. This allows Van to generate high-quality video using fewer sampling steps, shattering the "quality-to-cost" barrier and enabling lightning-fast production for large-scale workflows.
Launching this March, Wan2.7 is the latest powerhouse in the Qwen ecosystem, delivering a massive upgrade in visual fidelity, audio synchronization, and motion consistency over version 2.6. This all-in-one AI video generator supports advanced features like first-and-last frame control, 3x3 grid synthesis, and instruction-based video editing. Outperforming competitors like Jimeng, Wan2.7 offers superior flexibility with support for real-person image inputs, up to five video references, and 1080P high-definition outputs spanning 2 to 15 seconds, making it the premier choice for professional digital storytelling and high-end content marketing.
Nano Banana 2 (by Google), is a generative image model that perfectly balances lightning-fast rendering with exceptional visual quality. With an improved price-performance ratio, it achieves breakthrough micro-detail depiction, accurate native text rendering, and complex physical structure reconstruction. It serves as a highly efficient, commercial-grade visual production tool for developers, marketing teams, and content creators.
Seedream 5.0, developed by ByteDance’s Jimeng AI, is a high-performance AI image generation model that integrates real-time search with intelligent reasoning. Purpose-built for time-sensitive content and complex visual logic, it excels at professional infographics, architectural design, and UI assistance. By blending live web insights with creative precision, Seedream 5.0 empowers commercial branding and marketing with a seamless, logic-driven workflow that turns sophisticated data into stunning, high-fidelity visuals.
Seedance 2.0(by Bytedance) is a multimodal video generation model that redefines "controllable creation," moving beyond the limitations of text or start/end frames. It supports quad-modal inputs—text, image, video, and audio—and introduces an industry-leading "Universal Reference" system. By precisely replicating the composition, camera movement, and character actions from reference assets, Seedance 2.0 solves critical issues with character consistency and physical coherence, empowering creators to act as true "directors" with deep control over their output.
Kuaishou’s flagship video generation suite, Kling 3.0, features two powerhouse models—Kling 3.0 (Upgraded from Kling 2.6) and Kling 3.0 Omni (Kling O3, Upgraded from Kling O1)—both offering high-fidelity native audio integration. While Kling 3.0 excels in intelligent cinematic storytelling, multilingual lip-syncing, and precision text rendering, Kling O3 sets a new standard for professional-grade subject consistency by supporting custom subjects and voice clones derived from video or image inputs. Together, these models provide a comprehensive solution tailored for cinematic narratives, global marketing campaigns, social media content, and digital skit production.
GLM is a cutting-edge LLM series by Z.ai (Zhipu AI) featuring GLM-5, GLM-4.7, and GLM-4.6. Engineered for complex systems and long-horizon agentic tasks, GLM-5 outperforms top-tier closed-source models in elite benchmarks like Humanity’s Last Exam and BrowseComp. While GLM-4.7 specializes in reasoning, coding, and real-world intelligent agents, the entire GLM suite is fast, smart, and reliable, making it the ultimate tool for building websites, analyzing data, and delivering instant, high-quality answers for any professional workflow.
Explore OpenAI’s language and video models on Atlas Cloud: ChatGPT for advanced reasoning and interaction, and Sora-2 for physics-aware video generation.
Vidu, a joint innovation by Shengshu AI and Tsinghua University, is a high-performance video model powered by the original U-ViT architecture that blends Diffusion and Transformer technologies. It delivers long-form, highly consistent, and dynamic video content tailored for professional filmmaking, animation design, and creative advertising. By streamlining high-end visual production, Vidu empowers creators to transform complex ideas into cinematic reality with unprecedented efficiency.
Built on the Wan 2.5 and 2.6 frameworks, Van Model is a flagship AI video series that delivers superior high-resolution outputs with unmatched creative freedom. By blending cinematic 3D VAE visuals with Flow Matching dynamics, it leverages proprietary compute distillation to offer ultra-fast inference speeds at a fraction of the cost, making it the premier engine for scalable, high-frequency video production on a budget.
As a premier suite of Large Language Models (LLMs) developed by MiniMax AI, MiniMax is engineered to redefine real-world productivity through cutting-edge artificial intelligence. The ecosystem features MiniMax M2.5, which is purpose-built for high-efficiency professional environments, and MiniMax M2.1, a model that offers significantly enhanced multi-language programming capabilities to master complex, large-scale technical tasks. By achieving SOTA performance in coding, agentic tool use, intelligent search, and office workflow automation, MiniMax empowers users to streamline a wide range of economically valuable operations with unparalleled precision and reliability.
Kimi is a large language model developed by Moonshot AI, designed for reasoning, coding, and long-context understanding. It performs well in complex tasks such as code generation, analysis, and intelligent assistants. With strong performance and efficient architecture, Kimi is suitable for enterprise AI applications and developer use cases. Its balance of capability and cost makes it an increasingly popular choice in the LLM ecosystem.