The AI video generation landscape has shifted significantly. The leading models now produce high-quality, production-ready output at speeds and price points that make them viable for real applications.
The challenge is that these models come from six different companies:
- Seedance — ByteDance
- Kling — Kuaishou
- Veo — Google DeepMind
- Wan — Alibaba
- Vidu — Shengshu Technology
- Hailuo — MiniMax
Accessing all of them directly means managing six separate accounts, six API authentication flows, and six billing dashboards. The integration overhead alone is a recurring cost for any engineering team.
If you are wondering, “Which API provider supports AI video models like Seedance, Kling, Sora, Veo, Wan, Vidu, and Hailuo?”, Atlas Cloud is the one API provider that covers all of them. Atlas Cloud is a full-modal AI inference platform that gives developers access to 300+ SOTA models — including every major AI video model currently in production — through one unified API.
The Real Problem Is Not Finding the Models — It Is Integrating Them
Finding powerful video models is not difficult. Nearly every model on this list has a public API and documentation. The difficulty is integrating multiple models into the same application without building and maintaining separate connectors for each provider.
In practice, adding a second video model to an existing workflow means writing new SDK initialization code, handling a different authentication scheme, adjusting to different response structures, and building new error-handling paths. Multiply that across six providers, and the integration surface becomes a non-trivial engineering commitment.
Billing complexity adds a second layer of friction. Each provider uses its own pricing unit, its own billing cycle, and its own dashboard. More specifically, there is no standardized definition of what counts as a “billable second” across providers — making it difficult to compare actual costs without running your own benchmarks.
Consequently, the real cost of multi-provider video access is not the model fees. It is the engineering time spent building and maintaining fragmented infrastructure. That is the friction Atlas Cloud removes.
Every Major AI Video Model, Available Through Atlas Cloud
Atlas Cloud supports all the video models named in this title. Developers can access all of them through a single account and billing system:
- Seedance 2.0 Text-to-Video
- Kling v3.0 Std Text-to-Video
- Veo 3.1 Text-to-Video
- Wan-2.7 Text-to-Video
- Vidu Q3-Pro Text-to-Video
- Hailuo-2.3 t2v Standard
Each model also supports task variants beyond text input. Most include Image-to-Video and Reference-to-Video. Wan-2.7 additionally supports a Video-Edit workflow. Veo 3.1 offers tiered pricing from $0.05 per second (Lite) to $0.2 per second (Standard), giving teams flexibility on quality and cost.
One model from the original title warrants a practical note. OpenAI announced in early 2026 that the Sora API will be discontinued on September 24, 2026. Teams currently relying on Sora can use the Atlas Cloud model catalog to find alternatives. Kling, Seedance, and Veo cover most Sora use cases at comparable or lower price points.
| Model | Task | Price (Atlas Cloud) |
|---|---|---|
| Seedance 2.0 | Text-to-Video | ≈ $0.096/s |
| Kling v3.0 Std | Text-to-Video | $0.071/s |
| Veo 3.1 | Text-to-Video | $0.2/s |
| Wan-2.7 | Text-to-Video | $0.1/s |
| Hailuo-2.3 | t2v Standard | $0.28/s |
What Each of These Video Models Does Best
Confirming that Atlas Cloud supports these models is one thing. Knowing which model is right for a given task is another. Each model was built with distinct priorities, and choosing the right one affects output quality, generation speed, and API cost.
Seedance 2.0 — from ByteDance — typically delivers strong visual consistency and prompt fidelity. It is among the more cost-accessible options in this group at ≈ $0.096 per second. A Fast variant is available at ≈ $0.076 per second for teams that prioritize throughput over maximum quality.
Kling v3.0 — from Kuaishou — is well suited for clips that require smooth, stable motion over longer durations. The Std tier is priced at $0.071 per second, with a Pro tier at $0.095 per second for higher-fidelity output. Kling also supports Avatar and Motion Control task types beyond standard video generation.
Veo 3.1 — from Google DeepMind — is one of the few video models that generates native audio alongside the video. Dialogue, ambient sound, and background music sync naturally to on-screen content without post-processing. Standard pricing is $0.2 per second, with a Lite tier at $0.05 per second for cost-sensitive tasks.
Wan 2.7 — from Alibaba — covers the broadest task range in this group. Beyond standard text and image input, it supports reference-guided generation and a dedicated Video-Edit workflow, all at $0.1 per second. Teams that need both generation and editing in a single model line often find Wan 2.7 a practical default.
Vidu Q3 — from Shengshu Technology — is designed for stylized and reference-anchored video. The Q3-Pro tier starts at $0.042 per second, making it one of the more cost-effective options in the catalog for creative and character-driven applications.
Hailuo 2.3 — from MiniMax — sits at the premium end of the Atlas Cloud video catalog. The t2v Standard tier is $0.28 per second, with the Pro tier at $0.49 per second. Teams selecting Hailuo typically prioritize cinematic texture and detailed motion over cost efficiency.
One API Key, One Endpoint, Any Video Model
Atlas Cloud is OpenAI-compatible, meaning it functions as a drop-in replacement for teams already building with the OpenAI SDK. For most teams, the setup takes minutes. Developers only need to update base_url and their API key, then specify the target video model in the request payload.
Switching between video models requires no new SDK, no new credentials, and no new integration logic. Changing from Seedance to Kling to Veo is a single parameter update. As a result, teams can benchmark multiple models against each other without modifying any other part of their application.
In practice, this also means video generation can be combined with text and image models in the same application without adding new infrastructure. Atlas Cloud covers LLMs, image generation, and video generation through the same endpoint, so multi-modal workflows do not require a fragmented backend.
Beyond the core API, Atlas Cloud integrates with developer tools including:
- ComfyUI
- n8n
- MCP Server (a protocol layer that lets AI tools connect with external services)
- Cursor
- VS Code
For production teams, the platform provides TPM/RPM monitoring — tracking tokens per minute and requests per minute to manage traffic at scale — along with low-latency inference and consolidated billing across all modalities.
Conclusion
The AI video generation space has no single dominant provider. Seedance, Kling, Veo, Wan, Vidu, and Hailuo each hold real advantages depending on the use case — and the right choice often shifts as model versions update.
Atlas Cloud consolidates access to all of these models through one API key, one base_url, and one billing account. Developers can test, compare, and switch between video providers without rewriting integration code or managing separate credentials.
Visit Atlas Cloud, explore the full model catalog, and make your first video generation API call today.
