AI-native cloud for builders and agents: 200+ open models via serverless API, agent sandboxes, and on-demand GPU cloud.
AI-native cloud for builders and agents: 200+ open models via serverless API, agent sandboxes, and on-demand GPU cloud.
Novita AI is a developer-focused cloud that bundles three things that AI builders typically have to source from three different vendors: a serverless model API hosting 200+ open-weight LLMs, image, audio, and video models with sub-second latency; an Agent Sandbox for running computer-use and code-execution workloads in isolated environments; and an on-demand GPU cloud for fine-tuning, training, and custom inference deployments. The platform exposes one consistent API for every modality, so a single integration covers text generation (Kimi K2.5, DeepSeek V4, MiniMax, GLM-5.1, Qwen3.5, Gemma 4), image generation (Stable Diffusion family, FLUX), audio (TTS/STT), and video (open video models). Pricing is dramatically below the major frontier providers — billed by the token, not the hour — which makes Novita popular with startups, indie developers, and price-sensitive production workloads. Uptime is reported at 99.5%, and the Agent Sandbox is positioned as a Scrapybara/E2B alternative built directly into the same platform as your model APIs.
Key capabilities at a glance: 200+ open models behind one serverless API; Agent Sandbox for code execution and computer-use workloads; On-demand GPU cloud for fine-tuning and custom inference; Image, audio, and video generation models alongside LLMs; Sub-second latency and 99.5% uptime; Per-token, not per-hour, pricing.
Where Novita AI wins: One bill for inference + sandbox + GPUs is genuinely rare in the category; Per-token pricing is materially cheaper than frontier providers for open-weight workloads; Multi-modal coverage (text, image, audio, video) under one API; Agent Sandbox built-in removes the need for E2B or Scrapybara; Sub-second latency on most listed models.
Trade-offs to weigh: 99.5% uptime is below the 99.9%+ that frontier providers offer — not for tier-1 critical paths; Per-token pricing not transparent from the public site at time of writing; Catalog leans open-weight; if you need frontier models like Claude or GPT, you'll still need another provider; Newer than Together AI and Replicate — smaller community of integration examples.
Best-fit scenarios include: Cost-effective inference on open-weight models; Running agents that need code execution sandboxes; Fine-tuning custom models on dedicated GPUs; Multi-modal apps needing one provider for text, image, audio, video.
Pricing structure: Free trial (Free credits) — Initial credits to evaluate Model APIs, Agent Sandbox, and GPU cloud. | Pay-as-you-go (Usage-based) — Per-token model API pricing, per-second sandbox and GPU billing. | Enterprise (Custom) — Volume discounts, reserved capacity, dedicated regions, SLAs.
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