AI Agents

Chutes AI

Chutes provides serverless AI model hosting, APIs and a browser playground. Compare subscription caps, pay-as-you-go billing and custom-model requirements.

Updated: October 24, 2026.

The retained Chutes homepage screenshot has an unrecorded capture date. Its beta label and any-model/in-seconds claims are earlier provider marketing, not verification of current status, universal compatibility or measured deployment speed.

Category	Details
Name	Chutes AI
Overview	Chutes AI is a serverless compute platform for deploying and running AI models. It lets developers and businesses use hosted models or compatible custom workloads without managing the underlying servers. Its API and browser playground support integration and testing. The platform serves both prototypes and production applications, but deployment time, capacity, performance and cost depend on the selected model and configuration.
Key features & benefits	Serverless AI Deployment: Run supported hosted models or compatible custom workloads without managing servers. Autoscaling: Adjusts serving resources to workload demands, subject to configuration and available capacity. API-first Access: Integrate compatible applications through the API. Playground for Testing: Quickly test and iterate models online. Hosted and Custom Models: Choose from the current catalog or configure compatible LLM, vision and other workloads with the SDK. Developer Friendly: Detailed docs and easy onboarding. Fast Deployment: Deployment time depends on model size, dependencies, runtime configuration and GPU availability.
Use cases and applications	Launching custom LLMs or vision models. Rapid prototyping of AI-powered applications. Academic research needing flexible compute. Startups scaling AI services while monitoring compute and inference costs. Developers integrating AI into mobile and web apps through the API.
Who uses?	AI developers Startups and tech companies Academic researchers SaaS builders Enterprise AI teams seeking scalable compute
Pricing	Pay as you go: Published model-dependent rates; no current free tier. Hosted inference and private GPU deployments have different billing units and charges. Plus: $10 per month, up to 2,000 requests per day, a $50 monthly usage cap and a $4.17 rolling four-hour cap. Pro: $20 per month, up to 5,000 requests per day, a $100 monthly usage cap and an $8.33 rolling four-hour cap. Enterprise: Custom terms for volume, rate limits and support. The usage caps are measured in pay-as-you-go-equivalent dollars; reaching a monthly or four-hour cap can limit included usage before the daily request allowance is used. Further requests fall back to pay-as-you-go billing, with the plan’s published discount. Subscriptions are intended for casual direct use and low-volume API access; automated, high-volume and production workloads must use pay as you go under the current terms. Check the selected currency and current rates before adding funds.
Tags	AI Deployment, Serverless AI, AI API, Machine Learning, LLM Hosting, Scalable AI, AI Compute
App available?	Access through the browser platform and playground, with an API for compatible mobile and web applications.

Before deploying a workload

Choose a hosted model or verify your custom model’s licence, dependencies and GPU requirements. Test representative requests in the playground or API, review output quality and latency, and estimate costs under the appropriate usage limits before connecting a production application.

Sources: Chutes pricing and plan limits, custom deployment requirements, and terms of service, checked October 24, 2026.