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Nebius AI Pricing Breakdown: Cost Per Token and Model Comparison

Deploybase · November 25, 2025 · LLM Pricing

Contents

Nebius AI Overview

Nebius AI operates as a European-centric API provider focused on cost reduction and data sovereignty. The platform offers access to open-source models and custom model deployment options, positioning itself against centralized US-based providers.

The service architecture emphasizes transparent pricing without surprise tiers. Infrastructure runs on NVIDIA H100 and AMD MI300X clusters across multiple European data centers.

Token Pricing Structure

Input Tokens: $0.00012 per 1K tokens (base tier) Output Tokens: $0.00048 per 1K tokens (base tier)

Pricing varies by model selection and deployment region. European regions (Frankfurt, Amsterdam) cost 5% less than US-equivalent instances, while Asian deployments carry a 12% premium.

Volume discounts activate at these thresholds:

  • 1M tokens/month: 10% reduction
  • 10M tokens/month: 25% reduction
  • 100M tokens/month: 40% reduction
  • 1B tokens/month: 50% reduction plus dedicated infrastructure

Batch processing API applies additional discounts of 20-30% for non-real-time workloads submitted during off-peak hours.

Model Comparison

Nebius Native Models:

Mistral 7B pricing: $0.00008 input / $0.00024 output per 1K tokens

  • Inference latency: 45ms per output token
  • Ideal for cost-sensitive applications
  • Context window: 32K tokens

Llama 2 70B pricing: $0.00020 input / $0.00060 output per 1K tokens

  • Inference latency: 80ms per output token
  • Better reasoning than smaller models
  • Context window: 4K tokens

Mixtral 8x7B pricing: $0.00014 input / $0.00042 output per 1K tokens

  • Inference latency: 55ms per output token
  • Superior multilingual support
  • Context window: 32K tokens

Third-Party Models via Nebius:

Nebius now offers OpenAI API compatibility for selected models, passing through pricing with a 5% markup for infrastructure costs. This allows existing implementations to redirect API calls without code changes.

Competitive Analysis

Comparing 1 million input tokens and 500K output tokens monthly:

Nebius: $0.12 + $0.24 = $0.36/month (Mistral 7B)

OpenAI GPT-4 Turbo: $1.00 + $1.50 = $2.50/month (same token volume)

Anthropic Claude Opus 4.6: $5.00 + $12.00 = $17.00/month (same token volume)

Cohere Command R+: $0.03 + $0.15 = $0.18/month (same token volume)

See the complete LLM API pricing guide for additional providers and model comparisons.

Nebius pricing excels for simple tasks. However, model quality considerations matter. Mistral 7B underperforms GPT-4 on complex reasoning, making price advantage meaningless if output quality requires regenerations.

Usage Optimization

Model Selection Strategy: Test Mistral 7B first. If accuracy meets requirements, cost savings reach 85% versus Claude Opus 4.6. Only upgrade to 70B models if benchmark testing confirms necessity.

Batch Processing: Nebius Batch API provides 30% discounts. Queue non-urgent inference tasks for overnight processing in off-peak windows.

Prompt Caching: Nebius offers 40-token-per-second token caching for repeated prompts. Cache hits cost only $0.00002 per 1K tokens, reducing redundant processing costs by 80%.

Regional Routing: Direct traffic to nearest data center. Frankfurt reduces latency by 40ms versus US routing while delivering the same per-token pricing.

Request Bundling: Combine multiple inference requests into single batch calls. API efficiency improvements reduce effective token consumption by 12-15%.

FAQ

Q: How does Nebius pricing compare to OpenAI? For equivalent token volume, Nebius Mistral 7B costs 85% less than OpenAI GPT-4 Turbo. Quality differences require testing specific use cases, but cost advantage is substantial.

Q: What volume discounts does Nebius offer? 10% discount at 1M tokens/month, escalating to 50% at 1B tokens/month. Batch API applies additional 20-30% reductions for non-real-time workloads.

Q: Can I use Nebius models with existing OpenAI integrations? Yes. Nebius offers OpenAI API compatibility with 5% infrastructure markup. Existing code requires only endpoint URL changes.

Q: What is Nebius's SLA for API availability? 99.5% uptime guarantee for production instances. Premium tier (30% additional cost) provides 99.99% SLA with dedicated infrastructure.

Q: Does Nebius offer model fine-tuning? Custom fine-tuning available through direct sales. Starting at $2,000/month for infrastructure with per-epoch training costs based on token consumption.

Sources

  • Nebius AI Official Pricing (March 2026)
  • Nebius API Documentation
  • OpenAI Pricing Dashboard (March 2026)
  • Anthropic Pricing Information (March 2026)
  • Industry API Cost Analysis Report