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Novita AI

Novita AI is an AI-native cloud platform that gives developers access to 200+ models through a single API, on-demand GPU cloud instances, and an agent sandbox. It suits AI engineers, startups, and enterprises that want to run LLMs, image, video, and audio models without managing infrastructure.

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What is Novita AI?

Novita AI is an AI-native cloud platform that combines model APIs, GPU cloud instances, and an agent sandbox in one environment. The platform is built for developers who need to run generative AI workloads at scale without assembling a stack of separate providers and infrastructure tools. At the core of Novita AI is a model library with more than 200 models covering LLMs such as DeepSeek V4, GLM 5.3, Qwen 3.8, Kimi K3, MiniMax M3, and Step 3.7, alongside image generation models like FLUX, Seedream, and Nano Banana, video models, voice models, and embedding models. Every model is exposed through a single REST API with token-based pricing, so a team can switch between models by changing one parameter instead of re-integrating with each vendor. The platform also includes a GPU cloud where developers can rent dedicated GPU instances by the hour to run fine-tuning jobs, custom inference servers, or training workloads that do not fit the managed API. For agent builders, Novita AI provides an agent sandbox that lets teams deploy autonomous agents with tools, memory, and scheduled tasks without managing their own servers. Batch inference is available at an introductory 50% discount on input and output tokens for supported models, which helps teams reduce the cost of high-volume offline jobs. Novita AI supports both OpenAI-compatible endpoints and its own SDKs for Python and other languages, making migration from existing providers straightforward. The platform handles scaling, fault tolerance, and monitoring internally, so developers can focus on their product logic rather than infrastructure operations. Pricing is pay-as-you-go with no monthly commitment, and the dashboard provides usage tracking, cost controls, and API key management across the whole team. Novita AI also offers a playground where developers can test models interactively before writing code, plus comprehensive documentation covering quickstarts, model comparisons, and production best practices. Whether the task is building a chatbot, a video generation pipeline, an AI search engine, or a custom fine-tuned model, Novita AI positions itself as the infrastructure layer that removes the operational burden of running AI in production.

Novita AI AI Developer Tools product interface screenshot

Novita AI Core Features

200+ Model Library

Access LLMs, image, video, voice, and embedding models such as DeepSeek V4, GLM 5.3, Qwen 3.8, FLUX, and Seedream through one API

Single REST API

OpenAI-compatible endpoints and SDKs let teams switch models by changing a parameter instead of re-integrating vendors

GPU Cloud Instances

Rent dedicated GPU machines by the hour for fine-tuning, training, and custom inference servers

Agent Sandbox

Deploy autonomous agents with tools, memory, and scheduled tasks without managing servers

Batch Inference Discount

Run high-volume offline jobs at 50% off input and output tokens for supported models

Pay-as-you-go Pricing

Token-based billing with no monthly commitment and automatic scaling

Team Management

Centralized API keys, usage tracking, and cost controls across the whole organization

Interactive Playground

Test models in the browser before writing code, with quickstarts and production guides

Who is Novita AI for?

Novita AI is built for developers and engineering teams that need reliable access to many AI models and GPU compute without managing their own infrastructure. AI engineers use the model API to integrate LLMs, image, and video models into their products with a few lines of code, switching between providers through a single endpoint. Startups building AI-native applications benefit from the pay-as-you-go pricing, which lets them start small and scale usage as their user base grows without signing long contracts. Machine learning engineers and researchers use the GPU cloud to rent dedicated instances for fine-tuning, training, and running custom open-weight models that are not available through managed APIs. Agent developers use the sandbox environment to deploy autonomous agents with tools and scheduled execution, skipping the server setup that normally slows down agent projects. Data teams running high-volume batch inference jobs take advantage of the 50% discount on batch tokens to process large corpora at a fraction of the standard cost. Technical founders who want to prototype quickly use the playground and OpenAI-compatible endpoints to test models before committing to a stack. Enterprises that need centralized key management, usage monitoring, and cost controls across multiple teams use the dashboard to govern AI spend. Novita AI is also a practical choice for agencies and consultancies that build AI features for multiple clients and want one vendor relationship instead of many.

Novita AI Use Cases

Build a production chatbot that switches between DeepSeek and GLM models through one endpoint

Generate product images and marketing visuals at scale using FLUX and Seedream through the model API

Fine-tune an open-weight LLM on rented GPU instances and serve it back through the platform

Deploy an autonomous research agent with scheduled tasks in the agent sandbox

Process millions of documents through batch inference at the 50% discount rate

Create a video generation pipeline for social content using supported video models

Prototype AI features for a startup with the playground before committing to a full integration

Centralize AI spend and key management for an enterprise team across multiple products

Novita AI Pros and Cons

Pros

  • One platform covers model APIs, GPU rental, and agent hosting, reducing vendor sprawl
  • 200+ models including leading LLMs and generative image and video models
  • Pay-as-you-go pricing with batch discounts makes cost predictable and scalable
  • OpenAI-compatible endpoints simplify migration for teams already using OpenAI SDKs

Cons

  • Pay-as-you-go per-token pricing can be harder to budget than fixed subscription plans
  • As a cloud platform, it requires developer skills and is not aimed at non-technical users
  • GPU instance availability and pricing vary by region and demand

FAQ About Novita AI

Novita AI Pricing

PaidFrom USD 0.03

Pay-as-you-go: model APIs billed per million tokens (from $0.03/Mt), GPU cloud billed per hour, batch inference at 50% off for supported models. No subscription required.

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Model API

From $0.03/M tokens

Pay-as-you-go access to 200+ models; each model has its own input/output token price

Batch Inference

50% offintroductory

Discounted input and output tokens for supported models on high-volume offline jobs

GPU Cloud

Per hour/hour

Dedicated GPU instances for fine-tuning, training, and custom inference servers

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