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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

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✓ verifiedFreemium

Serverless AI cloud for running inference, training and sandboxes on GPUs with fast cold starts and pay-per-use billing.

988K visits/mo
MiniMax logo
MiniMax
✓ verifiedFreemium

Chinese AGI company building multimodal LLMs, Hailuo video, speech and music models, plus AI apps and open APIs.

4.6M visits/mo
Nebius logo
Nebius
✓ verifiedPaid

AI-focused cloud offering NVIDIA GPU compute, storage and MLOps tooling for training and inference at scale, with usage-based pricing.

678K visits/mo133K saves
Pricing
Starter: $0/mo + compute ($30 free credit)
Team: $250/mo + compute
Max Token Plan: 119 CNY/mo (frontier models, up to ~7.1B tokens/mo)
NVIDIA H100: $3.85/GPU-hour on-demand ($2.15 preemptible)
NVIDIA H200: $4.50/GPU-hour on-demand
NVIDIA B200: $7.15/GPU-hour on-demand
Shared filesystem storage: $0.08/GiB per month
Core features
  • Serverless GPU compute defined in Python
  • Sub-second container cold starts
  • Autoscale 0 to 1000+ GPUs
  • Inference, training and batch workloads
  • Secure sandboxes for untrusted code
  • Built-in logging and observability
  • MiniMax M-series LLMs (M3, 1M context, MSA)
  • Hailuo AI video generation
  • Speech and music generation models
  • MiniMax Code agentic coding tool
  • Consumer apps (Hailuo, Xingye)
  • Open API and Token Plan for developers
  • NVIDIA GPU instances (H100, H200, B200, GB200)
  • On-demand and preemptible GPU pricing
  • High-performance and object storage
  • Managed Kubernetes and Slurm (Soperator)
  • Serverless and managed inference (Token Factory)
  • MLOps tooling and 24/7 expert support
  • Commitment discounts up to 35%
Use cases
  • Deploying and scaling model inference
  • Fine-tuning and training models
  • Running batch/parallel AI jobs
  • Executing untrusted code in sandboxes
  • Coding and agentic tasks
  • AI video generation
  • Text-to-speech and music creation
  • Building on MiniMax model APIs
  • Train large AI/ML models on GPU clusters
  • Run scalable inference workloads
  • Store and manage large training datasets
  • Run Slurm/Kubernetes AI pipelines
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