Novita AI is a cloud platform that gives developers plug-and-play API access to over 200 AI models, including LLMs, image generators, video creation tools, and text-to-speech engines. Instead of managing GPU infrastructure or juggling multiple vendor SDKs, you call a single OpenAI-compatible API. The platform also offers GPU cloud instances and secure agent sandboxes. Pay-as-you-go pricing starts as low as $0.06 per million tokens, making it a strong fit for startups and indie developers scaling from prototype to production.
Novita AI is a cloud platform that provides developers with API access to over 200 AI models spanning LLMs, image generation, video creation, text-to-speech, and embeddings. It also offers GPU cloud instances and agent sandboxes for custom deployments.
Novita AI uses pay-as-you-go pricing. LLM API costs start as low as $0.06 per million tokens. Image generation is priced per image (around $0.0015 for standard images). GPU instances are billed per second with both on-demand and spot pricing options. New users receive a $0.50 credit on signup.
Yes. Novita AI's API follows the OpenAI API standard, so you can use existing OpenAI client libraries and switch to Novita with minimal code changes. This applies to their LLM chat completions and other supported endpoints.
The platform supports 200+ models including DeepSeek, Qwen, Llama, Stable Diffusion, FLUX, Kling, MiniMax TTS, Fish Audio, and many more. Models cover text generation, image creation, video synthesis, text-to-speech, voice cloning, and embeddings.
Yes. You can deploy proprietary models on private endpoints with dedicated resources and custom SLAs. The platform handles infrastructure, monitoring, and scaling while you retain ownership of your model weights and configurations.
Novita AI provides official SDKs for Python and JavaScript. Since the API is OpenAI-compatible, you can also use any language with an HTTP client or existing OpenAI SDK wrappers.
Novita AI is best suited for developers, startups, and product teams building AI-powered applications who want affordable, scalable access to multiple AI models without managing GPU infrastructure. It's particularly strong for teams that need image generation, LLM access, or multi-modal AI capabilities through a single provider.
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