Nebius AI
European cloud AI — affordable open-source inference from ex-Yandex team
Nebius AI is a European cloud provider built by the team behind Yandex Cloud, offering GPU compute and LLM inference services. Their inference API hosts Llama and other open-weight models at competitive prices, with data centres in Europe for GDPR-compliant deployments.
European-native infrastructure with GDPR-compliant LLM inference and GPU compute from the same provider — ideal for EU businesses.
- European data centres — GDPR-compliant by default
- Competitive pricing on open-weight models
- GPU compute + LLM inference from one provider
- Built by experienced Yandex Cloud engineering team
- OpenAI-compatible API
- Smaller ecosystem than US-based providers
- Limited model selection vs. Together AI
- Less established brand recognition
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Full comparison tableNebius AI LLM pricing overview
Nebius AI is an inference API provider that hosts open-weight and third-party large language models. Nebius AI is a European cloud provider built by the team behind Yandex Cloud, offering GPU compute and LLM inference services. Their inference API hosts Llama and other open-weight models at competitive prices, with data centres in Europe for GDPR-compliant deployments. Common use cases include European compliance, GDPR, Open-source, Cost-efficiency. Headquartered in Amsterdam, Netherlands, founded 2023. All models are accessible via a REST API compatible with standard OpenAI-style request formats, enabling drop-in integration with most LLM frameworks and orchestration tools.
Nebius AI vs other LLM providers
Nebius AI competes with OpenAI, Anthropic, Google, Groq, Together AI, Mistral, Cohere, and other inference API providers across dimensions of price, throughput, latency, context window, and model intelligence. European-native infrastructure with GDPR-compliant LLM inference and GPU compute from the same provider — ideal for EU businesses. Use the LLM provider comparison tool to see Nebius AI token pricing, latency, and throughput side-by-side with any other provider. The full LLM pricing table shows all providers ranked by input token cost, output token cost, and throughput in a single sortable view.
Why choose Nebius AI?
Nebius AI's key strengths are: European data centres — GDPR-compliant by default; Competitive pricing on open-weight models; GPU compute + LLM inference from one provider. Limitations to consider: Smaller ecosystem than US-based providers; Limited model selection vs. Together AI. For teams running high-volume inference workloads, prompt caching and batch API endpoints can reduce effective input token costs by 50–90% — check the context window cost guide for a full breakdown of caching economics.
Understanding Nebius AI token pricing
Nebius AI charges separately for input (prompt) and output (completion) tokens, priced per 1M tokens in USD. Output tokens are typically 3–5× more expensive than input tokens due to the compute cost of autoregressive generation. Prices shown are sourced from Nebius AI's public pricing page and updated daily. Need help estimating your spend? Read the LLM API cost calculator guide — it covers tokens, context windows, prompt caching, and batch discounts with worked examples for RAG, chat history, and document processing workloads.
Nebius AI context window and model capabilities
Context window size directly affects both capability and cost — every token in the context window is charged as an input token. For RAG and document processing workloads, longer context windows enable richer retrieval but increase per-call costs proportionally. Prompt caching — where supported — stores the KV state of repeated prefixes and charges 75–90% less for cache hits, making it the most impactful cost optimization for applications with consistent system prompts or retrieved documents. See the LLM context window cost guide for a full analysis of how context length affects your API bill.
Self-hosted vs managed inference: when Nebius AI makes sense
Managed inference APIs like Nebius AI eliminate infrastructure overhead — no GPU provisioning, driver management, or model serving stack to maintain. The trade-off is cost at scale: a single H100 at ~$2.50/hr can serve ~500K tokens/min of Llama 3.3 70B, which at Nebius AI API rates would cost significantly more per token. The break-even point depends on your request volume, latency requirements, and engineering capacity. For teams processing fewer than ~10M tokens/day, managed APIs are almost always cheaper when total cost of ownership is considered. Above that threshold, self-hosted inference on rented GPU compute typically wins on unit economics. Read the cheapest GPU cloud guide for a full break-even analysis. Historical Nebius AI token price data is available in the LLM price history charts.