Novita AI
Officially listedAn AI and agent cloud platform built for developers, offering model APIs and GPU rental.
Novita AI
Novita AI is an AI and Agent cloud platform built for developers and startup teams. With a highly competitive pay-as-you-go billing model, it offers a massive library of open-source model APIs and elastic GPU rental — the value-for-money choice for building, deploying, and scaling AI infrastructure.
Core Capabilities
- Unified model APIs: Integrates 200+ top open-source models (covering text models such as DeepSeek and Llama 3, plus image and video models like FLUX.1), fully compatible with the OpenAI interface for seamless code migration.
- Elastic GPU compute: Offers a variety of compute instances such as H100, A100, and RTX 4090, with spot mode and per-second billing for on-demand flexible resource allocation.
- Serverless model deployment: Deploy custom models as serverless endpoints with one click, with automatic scaling for traffic that completely eliminates idle machine costs.
- Ultra-fast AI inference: Excellent API response latency, with image generation and open-source LLM inference speeds at industry-leading levels.
- Agent sandbox environment: A securely isolated environment for running agents, with startup times as low as 200 milliseconds and real-time browser interaction access.
Use Cases Great for AI application developers, indie hackers, and small-to-midsize startups. If you want to integrate powerful multimodal AI capabilities into your product at low cost without bearing the high expense of buying and maintaining physical GPUs, Novita AI is the absolute efficiency foundation.
Unique Advantages Compared with established platforms like Replicate, Novita AI is a pure "price killer." It not only supports a broader range of model types (spanning text, image, video, and audio modalities) but has pushed the unit price of model inference and underlying compute rental to the extreme, saving teams enormous trial-and-error costs in high-frequency calling scenarios.
Editorial Review Novita AI is a highly cost-effective strong entrant in today's AI infrastructure field. It keenly targets developers' two core pain points — the pursuit of a multi-model ecosystem and extreme cost control — while delivering a fully compatible, silky-smooth experience. This is the best underlying compute choice for building lightweight, agile AI applications.
Pricing
### 💰 定价模式：按需付费 **起步价**：按量计费 #### 主要方案 - **按需付费版**：无固定月费 - 根据实际 API 调用量或 GPU 实例租赁时长（按秒）计费。 - **大语言模型**：如 DeepSeek-v3.1 输入 $0.27/1M tokens，输出 $1.00/1M tokens。 - **图像视频生成**：FLUX.1 约 $0.0225/张，Kling 视频约 $0.23/个。 #### 试用/其他信息 无服务器端点可实现零闲置成本，支持竞价实例（Spot Instances）进一步压缩底层算力成本。 — Visit website
FAQ
Is Novita AI free?
Novita AI uses a pure pay-as-you-go model with no long-term contract limits or base monthly fees; you only pay very low fees for the API requests or GPU compute hours you actually consume.
What can Novita AI be used for?
You can use it to quickly access more than 200 open-source LLM APIs (including text, image, and video generation), or rent GPU compute at very low per-second rates to deploy your own custom models serverlessly.
Which mainstream model APIs does Novita AI support?
Novita AI supports a rich range of multimodal models, including large language models (such as DeepSeek and Llama 3), image models (Stable Diffusion, FLUX.1), and video generation models (Kling, Vidu).
Do I need to manage servers to deploy models on Novita AI?
No. Novita AI provides a serverless deployment architecture that automatically scales up and down with request volume, so developers never need to worry about underlying machine maintenance or idle costs.
How does Novita AI compare to Replicate?
The core services are similar, but Novita AI has an overwhelming pricing advantage, better suited to teams with high-frequency calls or extreme cost sensitivity. It also provides a dedicated agent sandbox environment.
Is Novita AI's interface compatible with OpenAI?
Fully compatible. Novita AI's unified API follows OpenAI's SDK standard, so developers can migrate existing OpenAI workloads to open-source models by changing just a few lines of code.