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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.

Evolink AI Model API logo
Evolink AI Model API
✓ verifiedPaid

One API to access leading LLM, image, video, and audio models with pay-as-you-go, usage-based pricing.

363K visits/mo1.5K saves
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
Flagright AI logo
Flagright AI
✓ verifiedPaid

AML and fraud compliance platform pairing transaction monitoring, screening, and explainable AI agents for financial institutions.

39K visits/mo321 saves
Pricing
Usage-based pay-as-you-go (e.g., Seedance 2.0 $0.198/s, GPT Image 2 from $0.015/image)
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

No public pricing

Core features
  • Single API for LLM, image, video, and audio models
  • Access to GPT, Claude, Gemini, Seedance, and more
  • Usage-based, pay-as-you-go pricing
  • Model comparison and documented capabilities
  • Smart Router for model selection
  • 99.9% uptime, no credit card to start
  • 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%
  • Real-time transaction monitoring and rule engine
  • Explainable AI forensics agents
  • Dynamic risk scoring
  • Watchlist/sanctions/PEP screening
  • AI-native case management
  • Automated SAR filing to FinCEN and 70+ GoAML countries
Use cases
  • Add multiple AI models to a product via one API
  • Switch between model providers without rewrites
  • Generate video, images, and audio programmatically
  • Build AI agents and workflows
  • Train large AI/ML models on GPU clusters
  • Run scalable inference workloads
  • Store and manage large training datasets
  • Run Slurm/Kubernetes AI pipelines
  • AML compliance and monitoring
  • Reducing false-positive alerts
  • Streamlining fincrime investigations and SAR filing
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