Nebius Token Factory

What it does

Nebius Token Factory takes in text prompts, chat messages, and images sent to its OpenAI-compatible inference API, and returns model responses. Its documentation describes the platform as a place to test and compare models in a playground, then integrate them into applications through the same API. Customization is also offered: the site lists post-training guides, custom model deployment, and fine-tuning that trains models on datasets to improve output accuracy.

People use it by creating an account, generating an API key, and pointing an OpenAI client at the Token Factory base URL. The documentation shows Python, JavaScript, and cURL examples calling a DeepSeek model. The platform also lists dedicated endpoints, autoscaling and cache-aware routing, batch inference, and integrations with LiteLLM, LlamaIndex, LangChain, and several agent frameworks.

Nebius Token Factory suits developers who want managed model endpoints without operating GPU servers. Onboarding requires a billing account and a bank card; companies can subsequently arrange bank-transfer payments. A one-time $1 credit expires after 30 days. Ongoing costs depend on the chosen model and workload, so check the current rate table before scaling requests. Teams should also evaluate model output, access controls and operational limits for their application.

What it can do

• OpenAI-compatible chat completions API for hosted open models
• Interactive playground to test and compare models
• Fine-tuning with user datasets to improve output accuracy
• Dedicated endpoints with autoscaling and cache-aware routing
• Batch inference
• Custom model deployment after post-training

Works with

• LiteLLM
• Aisuite
• LlamaIndex
• LangChain
• Agno
• CrewAI
• Pydantic

Example workflows

Build a chat feature with an open model

Illustrative example. Input: a prompt and system message. Steps: create an API key, call the chat completions endpoint with the OpenAI client and a model name, read the response. Output: model-generated text returned to the application.

Compare models before integrating

Illustrative example. Input: a test prompt. Steps: open the playground, run the same prompt against different models, then choose one for the API integration. Output: a side-by-side view of model responses for selection.

Before you choose

• Billing setup is mandatory; onboarding cannot be completed without a payment method.
• Bank transfer payment is available to companies only, not individual accounts.
• The first sign-up credit is $1 valid for 30 days, which is a trial allowance rather than a permanent free tier.

Listed under

• Coding
• Sandboxes and infrastructure
• API
• Developers
• Fine-tuning
• GPU
• GPU hosting
• Inference

Get started

Create an account at the Token Factory site, log in with Google or GitHub, then create an API key.

1. Create a Nebius Token Factory billing account and add a bank card.
2. Choose a supported model, create credentials and follow the API quickstart.
3. Review the current model rates and spending controls before scaling.

Onboarding requires a bank card. Companies can later arrange bank transfers, and manual prepayments are supported. Automatic payment collection follows account balance and threshold rules. The $1 signup credit expires after 30 days. Check the console for current model-specific rates.

We couldn’t find published prices for Nebius Token Factory. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Token Factory — inference API for open models ↗dev.nebius.com
• Quickstart - Nebius Token Factory documentation ↗docs.tokenfactory.nebius.com
• Billing & Consumption - Nebius Token Factory documentation ↗docs.tokenfactory.nebius.com

Company website

dev.nebius.com: product, pricing and policy pages

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knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.