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New accounts receive free credits to test 60+ open-source models in the Playground or through the API, with no infrastructure to set up.
Learn moreHosted open-source model inference with per-token pricing and autoscaling endpoints
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Nebius Token Factory is an API finder tool. Managed inference for 60+ open-source models with an OpenAI-compatible API, Fast and Base latency tiers, autoscaling dedicated endpoints and transparent per-token pricing.
Nebius Token Factory is a managed inference service for open-source language and code models. Instead of renting GPUs and building a serving stack, teams call an OpenAI-compatible endpoint and pay per token consumed. The catalog covers more than 60 models, including gpt-oss-120B, Kimi-K2-Instruct, Hermes-4-405B, GLM-4.5, Qwen3-Coder-480B-A35B-Instruct, Qwen3-235B-A22B-Thinking-2507 and DeepSeek-R1-0528, with context windows running from 128k up to 262k on the Qwen entries. Nebius says it onboards new open releases such as Llama, Mistral and Flux on customer demand. The product is aimed at engineering teams putting model calls into production rather than tinkerers comparing outputs for fun. Two serving flavors share the same endpoints: Fast targets sub-second time-to-first-token for interactive agents and chat, while Base trades latency for throughput on batch or background work, and you can switch between them without redeploying. Practically, a developer drops the Nebius base URL into an OpenAI SDK client, sets an API key and starts calling models. Dedicated endpoints add reserved capacity, autoscaling and a 99.9 percent SLA for workloads too large or too sensitive for shared access. Cost and speed are the pitch. Nebius quotes up to 3x better cost-to-performance than proprietary APIs, a figure it attributes to independent verification by Artificial Analysis, and claims more than 2.5x cheaper than GPT-4o at comparable quality on Llama-405B. Enterprise features include regional routing in EU or US data centers, RBAC, unified billing and SOC 2 Type II with HIPAA and ISO 27001 compliance. It sits in the same bracket as OpenRouter, Together and Fireworks: a neutral gateway to open weights rather than a single vendor's model. The differentiator Nebius leans on is its own cloud infrastructure, which it argues gives tighter latency and price control than resellers achieve.
New accounts receive free credits to test 60+ open-source models in the Playground or through the API, with no infrastructure to set up.
Learn moreTransparent per-token pricing with free credits to start, shared access for prototyping and dedicated endpoints with volume discounts for production. Self-service rates are published on the console prices page; dedicated capacity is quoted through sales, and no specific figures appear on the homepage.
Learn moreSupport runs through a Discord community for technical questions plus X and LinkedIn for announcements. Dedicated endpoint customers work with a Solutions team for sizing and custom deployment. No public SLA details beyond the 99.9 percent figure are stated.
Learn moreThe API follows the OpenAI SDK convention, so existing chat completion clients work after a base URL change. The homepage shows customer logos such as Hugging Face, Shopify, JetBrains and OpenRouter but does not detail native product integrations.
Learn moreHosted open-source models with up to 262k context, an OpenAI-compatible API, Fast and Base serving tiers, autoscaling dedicated endpoints, multi-region routing, sub-second time-to-first-token, speculative decoding, RBAC, unified billing and enterprise compliance.
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