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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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Mlops Platform Multi Agent Orchestration Gpu Cloud Rental Multimodal Content Generation Apis Coding Agents Model Hosting Inference AI Agents AI Agents Infrastructure

WaveSpeedAI

✓ verifiedFree trial

Pay-per-use API hub aggregating 1000+ image, video, and audio generation models for developers building AI media pipelines.

2.2M visits/mo

Lightning AI

✓ verifiedFreemium

Cloud platform from the makers of PyTorch Lightning for building, training and deploying AI in browser-based GPU Studios.

467K visits/mo3.8K saves

CometAPI

✓ verifiedPaid

Unified API to 500+ AI models (OpenAI, Anthropic, Google, etc.) with OpenAI-compatible calls priced ~20% below official rates.

363K visits/mo4.8K saves

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

Google Antigravity

✓ verifiedFree

Google's agentic development platform and IDE for building software with autonomous, Gemini-powered coding agents.

22M visits/mo18K saves

Pricing

Silver: $100 top-up (higher rate limits)

Gold: $1,000 top-up (higher rate limits)

Ultra: $10,000 top-up (highest rate limits)

Free trial available

No public pricing

Pay-as-you-go, min top-up $10

GPT-5.6: $4 / 1M tokens

Claude Sonnet 5: $1.6 / 1M tokens

Free trial available

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

✦Unified API access to 1000+ image/video/audio generation models
✦Pay-per-use pricing billed per image or per second of video
✦Includes chat/LLM model access (Claude, GPT, Gemini, etc.) priced per token
✦Account tiers unlock higher GPU limits and concurrency
✦CLI and desktop app for building workflows
✦Enterprise options with dedicated support and custom deployment

✦Browser-based Lightning Studios with on-demand GPUs
✦PyTorch Lightning training framework
✦Model training, fine-tuning and deployment
✦Collaborative, shareable ML environments
✦Scalable multi-GPU/multi-node compute

✦One key for 500+ models
✦OpenAI-compatible API
✦Pay-as-you-go credits (~20% below list)
✦Multimodal: text, image, video, audio
✦Usage analytics and budget alerts
✦Integrations (Claude Code, n8n, Zapier, etc.)

✦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%

✦Agent-first IDE experience
✦Autonomous planning and code execution
✦Integrated editor, terminal and browser control
✦Powered by Google's Gemini models
✦High-level developer supervision

Use cases

→Integrating AI image/video generation into an app via API
→Building automated content pipelines needing multiple AI models
→Testing and comparing many generative models from one account
→Scaling AI media production with volume-based account tiers
→Accessing both media-generation and LLM APIs from one platform

→Prototype and train ML models in the cloud
→Fine-tune and deploy foundation models
→Run reproducible AI experiments collaboratively

→Consolidating multi-provider AI billing
→Switching models without re-integration
→Powering apps and automation pipelines
→Benchmarking models in one playground

→Train large AI/ML models on GPU clusters
→Run scalable inference workloads
→Store and manage large training datasets
→Run Slurm/Kubernetes AI pipelines

→Building apps with AI agents
→Automating multi-step coding tasks
→Prototyping and iterating on software
→Assisting developers on complex work

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