Nebius AI
HGX B300, B200, H200, H100 — European AI cloud with GDPR-native data sovereignty
Nebius AI is a European cloud provider offering GPU compute and LLM inference with GDPR-native data sovereignty. GPU catalog includes HGX B300, B200, H200, H100, RTX PRO 6000, and L40S — with preemptible rates significantly lower than on-demand. The Token Factory product enables high-throughput batch inference. Nebius also offers managed Kubernetes, PostgreSQL, MLflow, and object storage. Check nebius.com for current rates.
European-native GPU cloud with competitive next-gen pricing (B300, B200, H200) and preemptible rates — plus Token Factory for batch inference and GDPR-native data sovereignty.
- HGX B300, B200, H200, H100 — competitive EU GPU pricing
- Preemptible rates significantly lower than on-demand
- RTX PRO 6000 and L40S for budget GPU workloads
- Token Factory for high-throughput batch inference at reduced cost
- European data centres — GDPR-compliant by default
- Full cloud stack: GPU compute, managed Kubernetes, PostgreSQL, MLflow, object storage
- Smaller ecosystem than US-based providers
- Limited model selection vs. Together AI
- Less established brand recognition outside Europe
Nebius AI Models
| Model | Modality | Tier | Price | Cached /1M | TTFT | Throughput | Context | Intel. | Caps | |
|---|---|---|---|---|---|---|---|---|---|---|
Meta-Llama-3.1-70B-Instruct Llama 3.1 | Chat | budget | $0.13/ $0.40 in / out per 1M EST Jul 2026 | — | 350ms | 200 t/s | 131K | 60 |
Nebius AI — Frequently Asked Questions (FAQs)
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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 offering GPU compute and LLM inference with GDPR-native data sovereignty. GPU catalog includes HGX B300, B200, H200, H100, RTX PRO 6000, and L40S — with preemptible rates significantly lower than on-demand. The Token Factory product enables high-throughput batch inference. Nebius also offers managed Kubernetes, PostgreSQL, MLflow, and object storage. Check nebius.com for current rates. Common use cases include European compliance, GDPR, GPU compute, Batch inference. 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 GPU cloud with competitive next-gen pricing (B300, B200, H200) and preemptible rates — plus Token Factory for batch inference and GDPR-native data sovereignty. 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 stands out because: European-native GPU cloud with competitive next-gen pricing (B300, B200, H200) and preemptible rates — plus Token Factory for batch inference and GDPR-native data sovereignty.. The API currently offers 1 model, spanning 1 budget tier. 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. The cheapest {meta.name} input rate is currently $0.13/1M tokens. Prices shown are sourced from Nebius AI's public pricing page and updated every 15 minutes. 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. Nebius AI's largest context window is 131K tokens. 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.
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