All top AI models 10× cheaper

We provide one access layer to several model families and try to remove extra costs that often make end-user pricing grow. In many real scenarios this makes the final cost noticeably lower, especially if you need a working set of models instead of a single provider.

GPT, Gemini, DeepSeek, Grok, and other models are available in the catalog. Check provider, pricing, vision support, and model details: faster or cheaper models are usually enough for drafts and routine tasks, while stronger models fit deeper reasoning, coding, and product workloads.

After sign-up you can continue in two ways: web chat for a quick start without integration, or API for product and automation scenarios. If you already know the task, the fastest path is to pick a model, create a key, and send the first request from a ready-made example.

Web chat is better for manual work, quick comparisons, and trying prompts without setup. API is the right choice when you want to put models into a product, internal tools, bots, background jobs, or stable automated flows.

Yes. In most cases you only need to change the base URL, API key, and target model while keeping the familiar request format. For production use, keep the key on the backend or in server-side infrastructure instead of exposing it in client code.

Billing follows a pay-as-you-go model: costs depend on actual model usage, not on a mandatory monthly subscription. This is convenient when you want to test scenarios first and scale traffic gradually instead of buying a large package upfront.

No mandatory subscription is required. You can start with the workload you actually have, compare several models, and grow usage only when the scenario proves itself.

The practical way is to review usage and request logs in the cabinet so you can see which models are used, how volume changes, and where costs start growing. This makes it easier to compare scenarios and switch to a more efficient model when needed.

The service is designed to work without a VPN or complex routing. If your company network has strict outbound rules, it is still worth testing the exact integration path in advance.

Yes, some models support vision scenarios and image input. The catalog shows which models work with vision, so you can compare their capabilities and pricing before integrating them.

Limits depend on the model, current load, and the type of scenario. If you plan stable traffic, customer-facing features, or heavy internal automation, it is better to discuss the expected volume in advance and choose the right setup.

Yes, it works for developers, marketing teams, internal tools, and product teams. If you need a working company setup, we can help you choose models, estimate volume, and reach the first stable requests faster.